diff --git a/BHPD/01-DNN-Regression==done==.ipynb b/BHPD/01-DNN-Regression==done==.ipynb
index 44dc270f892f0af1c3db28cc83d949a07d2c5b4c..1b173174887dbdb9313c93d2967608b06fd6a4b8 100644
--- a/BHPD/01-DNN-Regression==done==.ipynb
+++ b/BHPD/01-DNN-Regression==done==.ipynb
@@ -54,10 +54,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:17.995164Z",
- "iopub.status.busy": "2021-01-14T07:11:17.994838Z",
- "iopub.status.idle": "2021-01-14T07:11:19.332433Z",
- "shell.execute_reply": "2021-01-14T07:11:19.332801Z"
+ "iopub.execute_input": "2021-01-26T10:05:37.832279Z",
+ "iopub.status.busy": "2021-01-26T10:05:37.831960Z",
+ "iopub.status.idle": "2021-01-26T10:05:39.183834Z",
+ "shell.execute_reply": "2021-01-26T10:05:39.183436Z"
}
},
"outputs": [
@@ -136,12 +136,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : BHPD1\n",
- "Run time : Thursday 14 January 2021, 08:11:19\n",
+ "Run time : Tuesday 26 January 2021, 11:05:39\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -179,10 +179,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:19.335678Z",
- "iopub.status.busy": "2021-01-14T07:11:19.335359Z",
- "iopub.status.idle": "2021-01-14T07:11:19.338208Z",
- "shell.execute_reply": "2021-01-14T07:11:19.337910Z"
+ "iopub.execute_input": "2021-01-26T10:05:39.186658Z",
+ "iopub.status.busy": "2021-01-26T10:05:39.186333Z",
+ "iopub.status.idle": "2021-01-26T10:05:39.188928Z",
+ "shell.execute_reply": "2021-01-26T10:05:39.188593Z"
}
},
"outputs": [],
@@ -203,10 +203,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:19.341659Z",
- "iopub.status.busy": "2021-01-14T07:11:19.341245Z",
- "iopub.status.idle": "2021-01-14T07:11:19.382604Z",
- "shell.execute_reply": "2021-01-14T07:11:19.382262Z"
+ "iopub.execute_input": "2021-01-26T10:05:39.192900Z",
+ "iopub.status.busy": "2021-01-26T10:05:39.192578Z",
+ "iopub.status.idle": "2021-01-26T10:05:39.279068Z",
+ "shell.execute_reply": "2021-01-26T10:05:39.278709Z"
}
},
"outputs": [
@@ -214,96 +214,96 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_a658c_\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> <th class=\"col_heading level0 col13\" >medv</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_eb112_\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> <th class=\"col_heading level0 col13\" >medv</th> </tr></thead><tbody>\n",
" <tr>\n",
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- " <td id=\"T_a658c_row0_col12\" class=\"data row0 col12\" >4.98</td>\n",
- " <td id=\"T_a658c_row0_col13\" class=\"data row0 col13\" >24.00</td>\n",
+ " <th id=\"T_eb112_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_eb112_row0_col0\" class=\"data row0 col0\" >0.01</td>\n",
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+ " <td id=\"T_eb112_row0_col3\" class=\"data row0 col3\" >0.00</td>\n",
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+ " <td id=\"T_eb112_row0_col10\" class=\"data row0 col10\" >15.30</td>\n",
+ " <td id=\"T_eb112_row0_col11\" class=\"data row0 col11\" >396.90</td>\n",
+ " <td id=\"T_eb112_row0_col12\" class=\"data row0 col12\" >4.98</td>\n",
+ " <td id=\"T_eb112_row0_col13\" class=\"data row0 col13\" >24.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a658c_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
- " <td id=\"T_a658c_row1_col0\" class=\"data row1 col0\" >0.03</td>\n",
- " <td id=\"T_a658c_row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
- " <td id=\"T_a658c_row1_col2\" class=\"data row1 col2\" >7.07</td>\n",
- " <td id=\"T_a658c_row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_a658c_row1_col4\" class=\"data row1 col4\" >0.47</td>\n",
- " <td id=\"T_a658c_row1_col5\" class=\"data row1 col5\" >6.42</td>\n",
- " <td id=\"T_a658c_row1_col6\" class=\"data row1 col6\" >78.90</td>\n",
- " <td id=\"T_a658c_row1_col7\" class=\"data row1 col7\" >4.97</td>\n",
- " <td id=\"T_a658c_row1_col8\" class=\"data row1 col8\" >2.00</td>\n",
- " <td id=\"T_a658c_row1_col9\" class=\"data row1 col9\" >242.00</td>\n",
- " <td id=\"T_a658c_row1_col10\" class=\"data row1 col10\" >17.80</td>\n",
- " <td id=\"T_a658c_row1_col11\" class=\"data row1 col11\" >396.90</td>\n",
- " <td id=\"T_a658c_row1_col12\" class=\"data row1 col12\" >9.14</td>\n",
- " <td id=\"T_a658c_row1_col13\" class=\"data row1 col13\" >21.60</td>\n",
+ " <th id=\"T_eb112_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+ " <td id=\"T_eb112_row1_col0\" class=\"data row1 col0\" >0.03</td>\n",
+ " <td id=\"T_eb112_row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
+ " <td id=\"T_eb112_row1_col2\" class=\"data row1 col2\" >7.07</td>\n",
+ " <td id=\"T_eb112_row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
+ " <td id=\"T_eb112_row1_col4\" class=\"data row1 col4\" >0.47</td>\n",
+ " <td id=\"T_eb112_row1_col5\" class=\"data row1 col5\" >6.42</td>\n",
+ " <td id=\"T_eb112_row1_col6\" class=\"data row1 col6\" >78.90</td>\n",
+ " <td id=\"T_eb112_row1_col7\" class=\"data row1 col7\" >4.97</td>\n",
+ " <td id=\"T_eb112_row1_col8\" class=\"data row1 col8\" >2.00</td>\n",
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+ " <td id=\"T_eb112_row1_col10\" class=\"data row1 col10\" >17.80</td>\n",
+ " <td id=\"T_eb112_row1_col11\" class=\"data row1 col11\" >396.90</td>\n",
+ " <td id=\"T_eb112_row1_col12\" class=\"data row1 col12\" >9.14</td>\n",
+ " <td id=\"T_eb112_row1_col13\" class=\"data row1 col13\" >21.60</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a658c_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
- " <td id=\"T_a658c_row2_col0\" class=\"data row2 col0\" >0.03</td>\n",
- " <td id=\"T_a658c_row2_col1\" class=\"data row2 col1\" >0.00</td>\n",
- " <td id=\"T_a658c_row2_col2\" class=\"data row2 col2\" >7.07</td>\n",
- " <td id=\"T_a658c_row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
- " <td id=\"T_a658c_row2_col4\" class=\"data row2 col4\" >0.47</td>\n",
- " <td id=\"T_a658c_row2_col5\" class=\"data row2 col5\" >7.18</td>\n",
- " <td id=\"T_a658c_row2_col6\" class=\"data row2 col6\" >61.10</td>\n",
- " <td id=\"T_a658c_row2_col7\" class=\"data row2 col7\" >4.97</td>\n",
- " <td id=\"T_a658c_row2_col8\" class=\"data row2 col8\" >2.00</td>\n",
- " <td id=\"T_a658c_row2_col9\" class=\"data row2 col9\" >242.00</td>\n",
- " <td id=\"T_a658c_row2_col10\" class=\"data row2 col10\" >17.80</td>\n",
- " <td id=\"T_a658c_row2_col11\" class=\"data row2 col11\" >392.83</td>\n",
- " <td id=\"T_a658c_row2_col12\" class=\"data row2 col12\" >4.03</td>\n",
- " <td id=\"T_a658c_row2_col13\" class=\"data row2 col13\" >34.70</td>\n",
+ " <th id=\"T_eb112_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+ " <td id=\"T_eb112_row2_col0\" class=\"data row2 col0\" >0.03</td>\n",
+ " <td id=\"T_eb112_row2_col1\" class=\"data row2 col1\" >0.00</td>\n",
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+ " <td id=\"T_eb112_row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
+ " <td id=\"T_eb112_row2_col4\" class=\"data row2 col4\" >0.47</td>\n",
+ " <td id=\"T_eb112_row2_col5\" class=\"data row2 col5\" >7.18</td>\n",
+ " <td id=\"T_eb112_row2_col6\" class=\"data row2 col6\" >61.10</td>\n",
+ " <td id=\"T_eb112_row2_col7\" class=\"data row2 col7\" >4.97</td>\n",
+ " <td id=\"T_eb112_row2_col8\" class=\"data row2 col8\" >2.00</td>\n",
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+ " <td id=\"T_eb112_row2_col10\" class=\"data row2 col10\" >17.80</td>\n",
+ " <td id=\"T_eb112_row2_col11\" class=\"data row2 col11\" >392.83</td>\n",
+ " <td id=\"T_eb112_row2_col12\" class=\"data row2 col12\" >4.03</td>\n",
+ " <td id=\"T_eb112_row2_col13\" class=\"data row2 col13\" >34.70</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a658c_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
- " <td id=\"T_a658c_row3_col0\" class=\"data row3 col0\" >0.03</td>\n",
- " <td id=\"T_a658c_row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_a658c_row3_col2\" class=\"data row3 col2\" >2.18</td>\n",
- " <td id=\"T_a658c_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
- " <td id=\"T_a658c_row3_col4\" class=\"data row3 col4\" >0.46</td>\n",
- " <td id=\"T_a658c_row3_col5\" class=\"data row3 col5\" >7.00</td>\n",
- " <td id=\"T_a658c_row3_col6\" class=\"data row3 col6\" >45.80</td>\n",
- " <td id=\"T_a658c_row3_col7\" class=\"data row3 col7\" >6.06</td>\n",
- " <td id=\"T_a658c_row3_col8\" class=\"data row3 col8\" >3.00</td>\n",
- " <td id=\"T_a658c_row3_col9\" class=\"data row3 col9\" >222.00</td>\n",
- " <td id=\"T_a658c_row3_col10\" class=\"data row3 col10\" >18.70</td>\n",
- " <td id=\"T_a658c_row3_col11\" class=\"data row3 col11\" >394.63</td>\n",
- " <td id=\"T_a658c_row3_col12\" class=\"data row3 col12\" >2.94</td>\n",
- " <td id=\"T_a658c_row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
+ " <th id=\"T_eb112_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+ " <td id=\"T_eb112_row3_col0\" class=\"data row3 col0\" >0.03</td>\n",
+ " <td id=\"T_eb112_row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
+ " <td id=\"T_eb112_row3_col2\" class=\"data row3 col2\" >2.18</td>\n",
+ " <td id=\"T_eb112_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_eb112_row3_col4\" class=\"data row3 col4\" >0.46</td>\n",
+ " <td id=\"T_eb112_row3_col5\" class=\"data row3 col5\" >7.00</td>\n",
+ " <td id=\"T_eb112_row3_col6\" class=\"data row3 col6\" >45.80</td>\n",
+ " <td id=\"T_eb112_row3_col7\" class=\"data row3 col7\" >6.06</td>\n",
+ " <td id=\"T_eb112_row3_col8\" class=\"data row3 col8\" >3.00</td>\n",
+ " <td id=\"T_eb112_row3_col9\" class=\"data row3 col9\" >222.00</td>\n",
+ " <td id=\"T_eb112_row3_col10\" class=\"data row3 col10\" >18.70</td>\n",
+ " <td id=\"T_eb112_row3_col11\" class=\"data row3 col11\" >394.63</td>\n",
+ " <td id=\"T_eb112_row3_col12\" class=\"data row3 col12\" >2.94</td>\n",
+ " <td id=\"T_eb112_row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a658c_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
- " <td id=\"T_a658c_row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
- " <td id=\"T_a658c_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_a658c_row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
- " <td id=\"T_a658c_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_a658c_row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
- " <td id=\"T_a658c_row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
- " <td id=\"T_a658c_row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
- " <td id=\"T_a658c_row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
- " <td id=\"T_a658c_row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
- " <td id=\"T_a658c_row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
- " <td id=\"T_a658c_row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
- " <td id=\"T_a658c_row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
- " <td id=\"T_a658c_row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
- " <td id=\"T_a658c_row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
+ " <th id=\"T_eb112_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+ " <td id=\"T_eb112_row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
+ " <td id=\"T_eb112_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_eb112_row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
+ " <td id=\"T_eb112_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_eb112_row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
+ " <td id=\"T_eb112_row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
+ " <td id=\"T_eb112_row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
+ " <td id=\"T_eb112_row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
+ " <td id=\"T_eb112_row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
+ " <td id=\"T_eb112_row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
+ " <td id=\"T_eb112_row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
+ " <td id=\"T_eb112_row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
+ " <td id=\"T_eb112_row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
+ " <td id=\"T_eb112_row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fca4da69490>"
+ "<pandas.io.formats.style.Styler at 0x7ff60aaabaf0>"
]
},
"metadata": {},
@@ -340,10 +340,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:19.390142Z",
- "iopub.status.busy": "2021-01-14T07:11:19.389749Z",
- "iopub.status.idle": "2021-01-14T07:11:19.392198Z",
- "shell.execute_reply": "2021-01-14T07:11:19.391841Z"
+ "iopub.execute_input": "2021-01-26T10:05:39.287728Z",
+ "iopub.status.busy": "2021-01-26T10:05:39.287375Z",
+ "iopub.status.idle": "2021-01-26T10:05:39.289800Z",
+ "shell.execute_reply": "2021-01-26T10:05:39.289471Z"
}
},
"outputs": [
@@ -392,10 +392,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:19.398787Z",
- "iopub.status.busy": "2021-01-14T07:11:19.398337Z",
- "iopub.status.idle": "2021-01-14T07:11:19.458125Z",
- "shell.execute_reply": "2021-01-14T07:11:19.457784Z"
+ "iopub.execute_input": "2021-01-26T10:05:39.293380Z",
+ "iopub.status.busy": "2021-01-26T10:05:39.293066Z",
+ "iopub.status.idle": "2021-01-26T10:05:39.356438Z",
+ "shell.execute_reply": "2021-01-26T10:05:39.356698Z"
}
},
"outputs": [
@@ -403,139 +403,139 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_91f6c_\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_2c9a0_\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_91f6c_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_91f6c_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_2c9a0_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_2c9a0_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_2c9a0_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_91f6c_row1_col0\" class=\"data row1 col0\" >3.83</td>\n",
- " <td id=\"T_91f6c_row1_col1\" class=\"data row1 col1\" >11.23</td>\n",
- " <td id=\"T_91f6c_row1_col2\" class=\"data row1 col2\" >11.09</td>\n",
- " <td id=\"T_91f6c_row1_col3\" class=\"data row1 col3\" >0.06</td>\n",
- " <td id=\"T_91f6c_row1_col4\" class=\"data row1 col4\" >0.55</td>\n",
- " <td id=\"T_91f6c_row1_col5\" class=\"data row1 col5\" >6.26</td>\n",
- " <td id=\"T_91f6c_row1_col6\" class=\"data row1 col6\" >68.56</td>\n",
- " <td id=\"T_91f6c_row1_col7\" class=\"data row1 col7\" >3.75</td>\n",
- " <td id=\"T_91f6c_row1_col8\" class=\"data row1 col8\" >9.52</td>\n",
- " <td id=\"T_91f6c_row1_col9\" class=\"data row1 col9\" >405.68</td>\n",
- " <td id=\"T_91f6c_row1_col10\" class=\"data row1 col10\" >18.44</td>\n",
- " <td id=\"T_91f6c_row1_col11\" class=\"data row1 col11\" >356.78</td>\n",
- " <td id=\"T_91f6c_row1_col12\" class=\"data row1 col12\" >12.99</td>\n",
+ " <th id=\"T_2c9a0_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_2c9a0_row1_col0\" class=\"data row1 col0\" >3.68</td>\n",
+ " <td id=\"T_2c9a0_row1_col1\" class=\"data row1 col1\" >11.13</td>\n",
+ " <td id=\"T_2c9a0_row1_col2\" class=\"data row1 col2\" >10.89</td>\n",
+ " <td id=\"T_2c9a0_row1_col3\" class=\"data row1 col3\" >0.07</td>\n",
+ " <td id=\"T_2c9a0_row1_col4\" class=\"data row1 col4\" >0.55</td>\n",
+ " <td id=\"T_2c9a0_row1_col5\" class=\"data row1 col5\" >6.28</td>\n",
+ " <td id=\"T_2c9a0_row1_col6\" class=\"data row1 col6\" >67.94</td>\n",
+ " <td id=\"T_2c9a0_row1_col7\" class=\"data row1 col7\" >3.79</td>\n",
+ " <td id=\"T_2c9a0_row1_col8\" class=\"data row1 col8\" >9.47</td>\n",
+ " <td id=\"T_2c9a0_row1_col9\" class=\"data row1 col9\" >405.70</td>\n",
+ " <td id=\"T_2c9a0_row1_col10\" class=\"data row1 col10\" >18.37</td>\n",
+ " <td id=\"T_2c9a0_row1_col11\" class=\"data row1 col11\" >359.89</td>\n",
+ " <td id=\"T_2c9a0_row1_col12\" class=\"data row1 col12\" >12.52</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_91f6c_row2_col0\" class=\"data row2 col0\" >8.75</td>\n",
- " <td id=\"T_91f6c_row2_col1\" class=\"data row2 col1\" >22.79</td>\n",
- " <td id=\"T_91f6c_row2_col2\" class=\"data row2 col2\" >6.89</td>\n",
- " <td id=\"T_91f6c_row2_col3\" class=\"data row2 col3\" >0.25</td>\n",
- " <td id=\"T_91f6c_row2_col4\" class=\"data row2 col4\" >0.11</td>\n",
- " <td id=\"T_91f6c_row2_col5\" class=\"data row2 col5\" >0.73</td>\n",
- " <td id=\"T_91f6c_row2_col6\" class=\"data row2 col6\" >28.80</td>\n",
- " <td id=\"T_91f6c_row2_col7\" class=\"data row2 col7\" >2.06</td>\n",
- " <td id=\"T_91f6c_row2_col8\" class=\"data row2 col8\" >8.70</td>\n",
- " <td id=\"T_91f6c_row2_col9\" class=\"data row2 col9\" >170.12</td>\n",
- " <td id=\"T_91f6c_row2_col10\" class=\"data row2 col10\" >2.21</td>\n",
- " <td id=\"T_91f6c_row2_col11\" class=\"data row2 col11\" >89.35</td>\n",
- " <td id=\"T_91f6c_row2_col12\" class=\"data row2 col12\" >7.50</td>\n",
+ " <th id=\"T_2c9a0_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_2c9a0_row2_col0\" class=\"data row2 col0\" >9.32</td>\n",
+ " <td id=\"T_2c9a0_row2_col1\" class=\"data row2 col1\" >22.71</td>\n",
+ " <td id=\"T_2c9a0_row2_col2\" class=\"data row2 col2\" >6.79</td>\n",
+ " <td id=\"T_2c9a0_row2_col3\" class=\"data row2 col3\" >0.26</td>\n",
+ " <td id=\"T_2c9a0_row2_col4\" class=\"data row2 col4\" >0.11</td>\n",
+ " <td id=\"T_2c9a0_row2_col5\" class=\"data row2 col5\" >0.69</td>\n",
+ " <td id=\"T_2c9a0_row2_col6\" class=\"data row2 col6\" >28.38</td>\n",
+ " <td id=\"T_2c9a0_row2_col7\" class=\"data row2 col7\" >2.07</td>\n",
+ " <td id=\"T_2c9a0_row2_col8\" class=\"data row2 col8\" >8.67</td>\n",
+ " <td id=\"T_2c9a0_row2_col9\" class=\"data row2 col9\" >168.13</td>\n",
+ " <td id=\"T_2c9a0_row2_col10\" class=\"data row2 col10\" >2.17</td>\n",
+ " <td id=\"T_2c9a0_row2_col11\" class=\"data row2 col11\" >87.29</td>\n",
+ " <td id=\"T_2c9a0_row2_col12\" class=\"data row2 col12\" >7.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_91f6c_row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
- " <td id=\"T_91f6c_row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_91f6c_row3_col2\" class=\"data row3 col2\" >1.21</td>\n",
- " <td id=\"T_91f6c_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
- " <td id=\"T_91f6c_row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
- " <td id=\"T_91f6c_row3_col5\" class=\"data row3 col5\" >3.56</td>\n",
- " <td id=\"T_91f6c_row3_col6\" class=\"data row3 col6\" >6.20</td>\n",
- " <td id=\"T_91f6c_row3_col7\" class=\"data row3 col7\" >1.13</td>\n",
- " <td id=\"T_91f6c_row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
- " <td id=\"T_91f6c_row3_col9\" class=\"data row3 col9\" >188.00</td>\n",
- " <td id=\"T_91f6c_row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
- " <td id=\"T_91f6c_row3_col11\" class=\"data row3 col11\" >2.60</td>\n",
- " <td id=\"T_91f6c_row3_col12\" class=\"data row3 col12\" >1.73</td>\n",
+ " <th id=\"T_2c9a0_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_2c9a0_row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
+ " <td id=\"T_2c9a0_row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
+ " <td id=\"T_2c9a0_row3_col2\" class=\"data row3 col2\" >0.46</td>\n",
+ " <td id=\"T_2c9a0_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_2c9a0_row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
+ " <td id=\"T_2c9a0_row3_col5\" class=\"data row3 col5\" >3.56</td>\n",
+ " <td id=\"T_2c9a0_row3_col6\" class=\"data row3 col6\" >2.90</td>\n",
+ " <td id=\"T_2c9a0_row3_col7\" class=\"data row3 col7\" >1.13</td>\n",
+ " <td id=\"T_2c9a0_row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
+ " <td id=\"T_2c9a0_row3_col9\" class=\"data row3 col9\" >188.00</td>\n",
+ " <td id=\"T_2c9a0_row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
+ " <td id=\"T_2c9a0_row3_col11\" class=\"data row3 col11\" >2.52</td>\n",
+ " <td id=\"T_2c9a0_row3_col12\" class=\"data row3 col12\" >1.73</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_91f6c_row4_col0\" class=\"data row4 col0\" >0.08</td>\n",
- " <td id=\"T_91f6c_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_91f6c_row4_col2\" class=\"data row4 col2\" >5.19</td>\n",
- " <td id=\"T_91f6c_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_91f6c_row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
- " <td id=\"T_91f6c_row4_col5\" class=\"data row4 col5\" >5.86</td>\n",
- " <td id=\"T_91f6c_row4_col6\" class=\"data row4 col6\" >43.47</td>\n",
- " <td id=\"T_91f6c_row4_col7\" class=\"data row4 col7\" >2.07</td>\n",
- " <td id=\"T_91f6c_row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
- " <td id=\"T_91f6c_row4_col9\" class=\"data row4 col9\" >277.00</td>\n",
- " <td id=\"T_91f6c_row4_col10\" class=\"data row4 col10\" >17.10</td>\n",
- " <td id=\"T_91f6c_row4_col11\" class=\"data row4 col11\" >375.61</td>\n",
- " <td id=\"T_91f6c_row4_col12\" class=\"data row4 col12\" >7.19</td>\n",
+ " <th id=\"T_2c9a0_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_2c9a0_row4_col0\" class=\"data row4 col0\" >0.08</td>\n",
+ " <td id=\"T_2c9a0_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_2c9a0_row4_col2\" class=\"data row4 col2\" >4.93</td>\n",
+ " <td id=\"T_2c9a0_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_2c9a0_row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
+ " <td id=\"T_2c9a0_row4_col5\" class=\"data row4 col5\" >5.88</td>\n",
+ " <td id=\"T_2c9a0_row4_col6\" class=\"data row4 col6\" >43.47</td>\n",
+ " <td id=\"T_2c9a0_row4_col7\" class=\"data row4 col7\" >2.10</td>\n",
+ " <td id=\"T_2c9a0_row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
+ " <td id=\"T_2c9a0_row4_col9\" class=\"data row4 col9\" >277.00</td>\n",
+ " <td id=\"T_2c9a0_row4_col10\" class=\"data row4 col10\" >17.00</td>\n",
+ " <td id=\"T_2c9a0_row4_col11\" class=\"data row4 col11\" >376.71</td>\n",
+ " <td id=\"T_2c9a0_row4_col12\" class=\"data row4 col12\" >6.88</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_91f6c_row5_col0\" class=\"data row5 col0\" >0.27</td>\n",
- " <td id=\"T_91f6c_row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
- " <td id=\"T_91f6c_row5_col2\" class=\"data row5 col2\" >8.56</td>\n",
- " <td id=\"T_91f6c_row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
- " <td id=\"T_91f6c_row5_col4\" class=\"data row5 col4\" >0.54</td>\n",
- " <td id=\"T_91f6c_row5_col5\" class=\"data row5 col5\" >6.17</td>\n",
- " <td id=\"T_91f6c_row5_col6\" class=\"data row5 col6\" >78.20</td>\n",
- " <td id=\"T_91f6c_row5_col7\" class=\"data row5 col7\" >3.17</td>\n",
- " <td id=\"T_91f6c_row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
- " <td id=\"T_91f6c_row5_col9\" class=\"data row5 col9\" >329.00</td>\n",
- " <td id=\"T_91f6c_row5_col10\" class=\"data row5 col10\" >19.10</td>\n",
- " <td id=\"T_91f6c_row5_col11\" class=\"data row5 col11\" >391.60</td>\n",
- " <td id=\"T_91f6c_row5_col12\" class=\"data row5 col12\" >11.43</td>\n",
+ " <th id=\"T_2c9a0_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_2c9a0_row5_col0\" class=\"data row5 col0\" >0.25</td>\n",
+ " <td id=\"T_2c9a0_row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
+ " <td id=\"T_2c9a0_row5_col2\" class=\"data row5 col2\" >9.69</td>\n",
+ " <td id=\"T_2c9a0_row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
+ " <td id=\"T_2c9a0_row5_col4\" class=\"data row5 col4\" >0.53</td>\n",
+ " <td id=\"T_2c9a0_row5_col5\" class=\"data row5 col5\" >6.18</td>\n",
+ " <td id=\"T_2c9a0_row5_col6\" class=\"data row5 col6\" >76.50</td>\n",
+ " <td id=\"T_2c9a0_row5_col7\" class=\"data row5 col7\" >3.27</td>\n",
+ " <td id=\"T_2c9a0_row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
+ " <td id=\"T_2c9a0_row5_col9\" class=\"data row5 col9\" >330.00</td>\n",
+ " <td id=\"T_2c9a0_row5_col10\" class=\"data row5 col10\" >18.70</td>\n",
+ " <td id=\"T_2c9a0_row5_col11\" class=\"data row5 col11\" >391.60</td>\n",
+ " <td id=\"T_2c9a0_row5_col12\" class=\"data row5 col12\" >10.69</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_91f6c_row6_col0\" class=\"data row6 col0\" >3.83</td>\n",
- " <td id=\"T_91f6c_row6_col1\" class=\"data row6 col1\" >20.00</td>\n",
- " <td id=\"T_91f6c_row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
- " <td id=\"T_91f6c_row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
- " <td id=\"T_91f6c_row6_col4\" class=\"data row6 col4\" >0.62</td>\n",
- " <td id=\"T_91f6c_row6_col5\" class=\"data row6 col5\" >6.61</td>\n",
- " <td id=\"T_91f6c_row6_col6\" class=\"data row6 col6\" >94.57</td>\n",
- " <td id=\"T_91f6c_row6_col7\" class=\"data row6 col7\" >5.19</td>\n",
- " <td id=\"T_91f6c_row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
- " <td id=\"T_91f6c_row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
- " <td id=\"T_91f6c_row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
- " <td id=\"T_91f6c_row6_col11\" class=\"data row6 col11\" >396.32</td>\n",
- " <td id=\"T_91f6c_row6_col12\" class=\"data row6 col12\" >17.30</td>\n",
+ " <th id=\"T_2c9a0_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_2c9a0_row6_col0\" class=\"data row6 col0\" >3.40</td>\n",
+ " <td id=\"T_2c9a0_row6_col1\" class=\"data row6 col1\" >12.50</td>\n",
+ " <td id=\"T_2c9a0_row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
+ " <td id=\"T_2c9a0_row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
+ " <td id=\"T_2c9a0_row6_col4\" class=\"data row6 col4\" >0.62</td>\n",
+ " <td id=\"T_2c9a0_row6_col5\" class=\"data row6 col5\" >6.63</td>\n",
+ " <td id=\"T_2c9a0_row6_col6\" class=\"data row6 col6\" >93.75</td>\n",
+ " <td id=\"T_2c9a0_row6_col7\" class=\"data row6 col7\" >5.19</td>\n",
+ " <td id=\"T_2c9a0_row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
+ " <td id=\"T_2c9a0_row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
+ " <td id=\"T_2c9a0_row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
+ " <td id=\"T_2c9a0_row6_col11\" class=\"data row6 col11\" >396.90</td>\n",
+ " <td id=\"T_2c9a0_row6_col12\" class=\"data row6 col12\" >17.11</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_91f6c_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_91f6c_row7_col0\" class=\"data row7 col0\" >73.53</td>\n",
- " <td id=\"T_91f6c_row7_col1\" class=\"data row7 col1\" >100.00</td>\n",
- " <td id=\"T_91f6c_row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
- " <td id=\"T_91f6c_row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
- " <td id=\"T_91f6c_row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
- " <td id=\"T_91f6c_row7_col5\" class=\"data row7 col5\" >8.72</td>\n",
- " <td id=\"T_91f6c_row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
- " <td id=\"T_91f6c_row7_col7\" class=\"data row7 col7\" >10.71</td>\n",
- " <td id=\"T_91f6c_row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
- " <td id=\"T_91f6c_row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
- " <td id=\"T_91f6c_row7_col10\" class=\"data row7 col10\" >21.20</td>\n",
- " <td id=\"T_91f6c_row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
- " <td id=\"T_91f6c_row7_col12\" class=\"data row7 col12\" >37.97</td>\n",
+ " <th id=\"T_2c9a0_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_2c9a0_row7_col0\" class=\"data row7 col0\" >88.98</td>\n",
+ " <td id=\"T_2c9a0_row7_col1\" class=\"data row7 col1\" >100.00</td>\n",
+ " <td id=\"T_2c9a0_row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
+ " <td id=\"T_2c9a0_row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
+ " <td id=\"T_2c9a0_row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
+ " <td id=\"T_2c9a0_row7_col5\" class=\"data row7 col5\" >8.78</td>\n",
+ " <td id=\"T_2c9a0_row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
+ " <td id=\"T_2c9a0_row7_col7\" class=\"data row7 col7\" >10.71</td>\n",
+ " <td id=\"T_2c9a0_row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
+ " <td id=\"T_2c9a0_row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
+ " <td id=\"T_2c9a0_row7_col10\" class=\"data row7 col10\" >22.00</td>\n",
+ " <td id=\"T_2c9a0_row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
+ " <td id=\"T_2c9a0_row7_col12\" class=\"data row7 col12\" >37.97</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fca4da69490>"
+ "<pandas.io.formats.style.Styler at 0x7ff60c213c40>"
]
},
"metadata": {},
@@ -545,139 +545,139 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_7f7f2_\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_c21ab_\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_7f7f2_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_7f7f2_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_c21ab_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_c21ab_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_c21ab_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_7f7f2_row1_col0\" class=\"data row1 col0\" >-0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col2\" class=\"data row1 col2\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col4\" class=\"data row1 col4\" >-0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col5\" class=\"data row1 col5\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col7\" class=\"data row1 col7\" >-0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col8\" class=\"data row1 col8\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col9\" class=\"data row1 col9\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col10\" class=\"data row1 col10\" >0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col11\" class=\"data row1 col11\" >-0.00</td>\n",
- " <td id=\"T_7f7f2_row1_col12\" class=\"data row1 col12\" >-0.00</td>\n",
+ " <th id=\"T_c21ab_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_c21ab_row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col2\" class=\"data row1 col2\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col4\" class=\"data row1 col4\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col5\" class=\"data row1 col5\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col7\" class=\"data row1 col7\" >-0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col8\" class=\"data row1 col8\" >-0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col9\" class=\"data row1 col9\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col10\" class=\"data row1 col10\" >0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col11\" class=\"data row1 col11\" >-0.00</td>\n",
+ " <td id=\"T_c21ab_row1_col12\" class=\"data row1 col12\" >0.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_7f7f2_row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
- " <td id=\"T_7f7f2_row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
+ " <th id=\"T_c21ab_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_c21ab_row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
+ " <td id=\"T_c21ab_row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_7f7f2_row3_col0\" class=\"data row3 col0\" >-0.44</td>\n",
- " <td id=\"T_7f7f2_row3_col1\" class=\"data row3 col1\" >-0.49</td>\n",
- " <td id=\"T_7f7f2_row3_col2\" class=\"data row3 col2\" >-1.43</td>\n",
- " <td id=\"T_7f7f2_row3_col3\" class=\"data row3 col3\" >-0.26</td>\n",
- " <td id=\"T_7f7f2_row3_col4\" class=\"data row3 col4\" >-1.45</td>\n",
- " <td id=\"T_7f7f2_row3_col5\" class=\"data row3 col5\" >-3.69</td>\n",
- " <td id=\"T_7f7f2_row3_col6\" class=\"data row3 col6\" >-2.16</td>\n",
- " <td id=\"T_7f7f2_row3_col7\" class=\"data row3 col7\" >-1.27</td>\n",
- " <td id=\"T_7f7f2_row3_col8\" class=\"data row3 col8\" >-0.98</td>\n",
- " <td id=\"T_7f7f2_row3_col9\" class=\"data row3 col9\" >-1.28</td>\n",
- " <td id=\"T_7f7f2_row3_col10\" class=\"data row3 col10\" >-2.64</td>\n",
- " <td id=\"T_7f7f2_row3_col11\" class=\"data row3 col11\" >-3.96</td>\n",
- " <td id=\"T_7f7f2_row3_col12\" class=\"data row3 col12\" >-1.50</td>\n",
+ " <th id=\"T_c21ab_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_c21ab_row3_col0\" class=\"data row3 col0\" >-0.39</td>\n",
+ " <td id=\"T_c21ab_row3_col1\" class=\"data row3 col1\" >-0.49</td>\n",
+ " <td id=\"T_c21ab_row3_col2\" class=\"data row3 col2\" >-1.54</td>\n",
+ " <td id=\"T_c21ab_row3_col3\" class=\"data row3 col3\" >-0.28</td>\n",
+ " <td id=\"T_c21ab_row3_col4\" class=\"data row3 col4\" >-1.48</td>\n",
+ " <td id=\"T_c21ab_row3_col5\" class=\"data row3 col5\" >-3.96</td>\n",
+ " <td id=\"T_c21ab_row3_col6\" class=\"data row3 col6\" >-2.29</td>\n",
+ " <td id=\"T_c21ab_row3_col7\" class=\"data row3 col7\" >-1.29</td>\n",
+ " <td id=\"T_c21ab_row3_col8\" class=\"data row3 col8\" >-0.98</td>\n",
+ " <td id=\"T_c21ab_row3_col9\" class=\"data row3 col9\" >-1.29</td>\n",
+ " <td id=\"T_c21ab_row3_col10\" class=\"data row3 col10\" >-2.66</td>\n",
+ " <td id=\"T_c21ab_row3_col11\" class=\"data row3 col11\" >-4.09</td>\n",
+ " <td id=\"T_c21ab_row3_col12\" class=\"data row3 col12\" >-1.50</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_7f7f2_row4_col0\" class=\"data row4 col0\" >-0.43</td>\n",
- " <td id=\"T_7f7f2_row4_col1\" class=\"data row4 col1\" >-0.49</td>\n",
- " <td id=\"T_7f7f2_row4_col2\" class=\"data row4 col2\" >-0.86</td>\n",
- " <td id=\"T_7f7f2_row4_col3\" class=\"data row4 col3\" >-0.26</td>\n",
- " <td id=\"T_7f7f2_row4_col4\" class=\"data row4 col4\" >-0.92</td>\n",
- " <td id=\"T_7f7f2_row4_col5\" class=\"data row4 col5\" >-0.55</td>\n",
- " <td id=\"T_7f7f2_row4_col6\" class=\"data row4 col6\" >-0.87</td>\n",
- " <td id=\"T_7f7f2_row4_col7\" class=\"data row4 col7\" >-0.82</td>\n",
- " <td id=\"T_7f7f2_row4_col8\" class=\"data row4 col8\" >-0.63</td>\n",
- " <td id=\"T_7f7f2_row4_col9\" class=\"data row4 col9\" >-0.76</td>\n",
- " <td id=\"T_7f7f2_row4_col10\" class=\"data row4 col10\" >-0.61</td>\n",
- " <td id=\"T_7f7f2_row4_col11\" class=\"data row4 col11\" >0.21</td>\n",
- " <td id=\"T_7f7f2_row4_col12\" class=\"data row4 col12\" >-0.77</td>\n",
+ " <th id=\"T_c21ab_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_c21ab_row4_col0\" class=\"data row4 col0\" >-0.39</td>\n",
+ " <td id=\"T_c21ab_row4_col1\" class=\"data row4 col1\" >-0.49</td>\n",
+ " <td id=\"T_c21ab_row4_col2\" class=\"data row4 col2\" >-0.88</td>\n",
+ " <td id=\"T_c21ab_row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
+ " <td id=\"T_c21ab_row4_col4\" class=\"data row4 col4\" >-0.91</td>\n",
+ " <td id=\"T_c21ab_row4_col5\" class=\"data row4 col5\" >-0.59</td>\n",
+ " <td id=\"T_c21ab_row4_col6\" class=\"data row4 col6\" >-0.86</td>\n",
+ " <td id=\"T_c21ab_row4_col7\" class=\"data row4 col7\" >-0.82</td>\n",
+ " <td id=\"T_c21ab_row4_col8\" class=\"data row4 col8\" >-0.63</td>\n",
+ " <td id=\"T_c21ab_row4_col9\" class=\"data row4 col9\" >-0.77</td>\n",
+ " <td id=\"T_c21ab_row4_col10\" class=\"data row4 col10\" >-0.63</td>\n",
+ " <td id=\"T_c21ab_row4_col11\" class=\"data row4 col11\" >0.19</td>\n",
+ " <td id=\"T_c21ab_row4_col12\" class=\"data row4 col12\" >-0.78</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_7f7f2_row5_col0\" class=\"data row5 col0\" >-0.41</td>\n",
- " <td id=\"T_7f7f2_row5_col1\" class=\"data row5 col1\" >-0.49</td>\n",
- " <td id=\"T_7f7f2_row5_col2\" class=\"data row5 col2\" >-0.37</td>\n",
- " <td id=\"T_7f7f2_row5_col3\" class=\"data row5 col3\" >-0.26</td>\n",
- " <td id=\"T_7f7f2_row5_col4\" class=\"data row5 col4\" >-0.14</td>\n",
- " <td id=\"T_7f7f2_row5_col5\" class=\"data row5 col5\" >-0.13</td>\n",
- " <td id=\"T_7f7f2_row5_col6\" class=\"data row5 col6\" >0.33</td>\n",
- " <td id=\"T_7f7f2_row5_col7\" class=\"data row5 col7\" >-0.28</td>\n",
- " <td id=\"T_7f7f2_row5_col8\" class=\"data row5 col8\" >-0.52</td>\n",
- " <td id=\"T_7f7f2_row5_col9\" class=\"data row5 col9\" >-0.45</td>\n",
- " <td id=\"T_7f7f2_row5_col10\" class=\"data row5 col10\" >0.30</td>\n",
- " <td id=\"T_7f7f2_row5_col11\" class=\"data row5 col11\" >0.39</td>\n",
- " <td id=\"T_7f7f2_row5_col12\" class=\"data row5 col12\" >-0.21</td>\n",
+ " <th id=\"T_c21ab_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_c21ab_row5_col0\" class=\"data row5 col0\" >-0.37</td>\n",
+ " <td id=\"T_c21ab_row5_col1\" class=\"data row5 col1\" >-0.49</td>\n",
+ " <td id=\"T_c21ab_row5_col2\" class=\"data row5 col2\" >-0.18</td>\n",
+ " <td id=\"T_c21ab_row5_col3\" class=\"data row5 col3\" >-0.28</td>\n",
+ " <td id=\"T_c21ab_row5_col4\" class=\"data row5 col4\" >-0.17</td>\n",
+ " <td id=\"T_c21ab_row5_col5\" class=\"data row5 col5\" >-0.14</td>\n",
+ " <td id=\"T_c21ab_row5_col6\" class=\"data row5 col6\" >0.30</td>\n",
+ " <td id=\"T_c21ab_row5_col7\" class=\"data row5 col7\" >-0.25</td>\n",
+ " <td id=\"T_c21ab_row5_col8\" class=\"data row5 col8\" >-0.52</td>\n",
+ " <td id=\"T_c21ab_row5_col9\" class=\"data row5 col9\" >-0.45</td>\n",
+ " <td id=\"T_c21ab_row5_col10\" class=\"data row5 col10\" >0.15</td>\n",
+ " <td id=\"T_c21ab_row5_col11\" class=\"data row5 col11\" >0.36</td>\n",
+ " <td id=\"T_c21ab_row5_col12\" class=\"data row5 col12\" >-0.26</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_7f7f2_row6_col0\" class=\"data row6 col0\" >-0.00</td>\n",
- " <td id=\"T_7f7f2_row6_col1\" class=\"data row6 col1\" >0.38</td>\n",
- " <td id=\"T_7f7f2_row6_col2\" class=\"data row6 col2\" >1.02</td>\n",
- " <td id=\"T_7f7f2_row6_col3\" class=\"data row6 col3\" >-0.26</td>\n",
- " <td id=\"T_7f7f2_row6_col4\" class=\"data row6 col4\" >0.61</td>\n",
- " <td id=\"T_7f7f2_row6_col5\" class=\"data row6 col5\" >0.48</td>\n",
- " <td id=\"T_7f7f2_row6_col6\" class=\"data row6 col6\" >0.90</td>\n",
- " <td id=\"T_7f7f2_row6_col7\" class=\"data row6 col7\" >0.70</td>\n",
- " <td id=\"T_7f7f2_row6_col8\" class=\"data row6 col8\" >1.66</td>\n",
- " <td id=\"T_7f7f2_row6_col9\" class=\"data row6 col9\" >1.53</td>\n",
- " <td id=\"T_7f7f2_row6_col10\" class=\"data row6 col10\" >0.80</td>\n",
- " <td id=\"T_7f7f2_row6_col11\" class=\"data row6 col11\" >0.44</td>\n",
- " <td id=\"T_7f7f2_row6_col12\" class=\"data row6 col12\" >0.57</td>\n",
+ " <th id=\"T_c21ab_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_c21ab_row6_col0\" class=\"data row6 col0\" >-0.03</td>\n",
+ " <td id=\"T_c21ab_row6_col1\" class=\"data row6 col1\" >0.06</td>\n",
+ " <td id=\"T_c21ab_row6_col2\" class=\"data row6 col2\" >1.06</td>\n",
+ " <td id=\"T_c21ab_row6_col3\" class=\"data row6 col3\" >-0.28</td>\n",
+ " <td id=\"T_c21ab_row6_col4\" class=\"data row6 col4\" >0.65</td>\n",
+ " <td id=\"T_c21ab_row6_col5\" class=\"data row6 col5\" >0.50</td>\n",
+ " <td id=\"T_c21ab_row6_col6\" class=\"data row6 col6\" >0.91</td>\n",
+ " <td id=\"T_c21ab_row6_col7\" class=\"data row6 col7\" >0.67</td>\n",
+ " <td id=\"T_c21ab_row6_col8\" class=\"data row6 col8\" >1.68</td>\n",
+ " <td id=\"T_c21ab_row6_col9\" class=\"data row6 col9\" >1.55</td>\n",
+ " <td id=\"T_c21ab_row6_col10\" class=\"data row6 col10\" >0.84</td>\n",
+ " <td id=\"T_c21ab_row6_col11\" class=\"data row6 col11\" >0.42</td>\n",
+ " <td id=\"T_c21ab_row6_col12\" class=\"data row6 col12\" >0.64</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_7f7f2_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_7f7f2_row7_col0\" class=\"data row7 col0\" >7.96</td>\n",
- " <td id=\"T_7f7f2_row7_col1\" class=\"data row7 col1\" >3.90</td>\n",
- " <td id=\"T_7f7f2_row7_col2\" class=\"data row7 col2\" >2.42</td>\n",
- " <td id=\"T_7f7f2_row7_col3\" class=\"data row7 col3\" >3.79</td>\n",
- " <td id=\"T_7f7f2_row7_col4\" class=\"data row7 col4\" >2.78</td>\n",
- " <td id=\"T_7f7f2_row7_col5\" class=\"data row7 col5\" >3.36</td>\n",
- " <td id=\"T_7f7f2_row7_col6\" class=\"data row7 col6\" >1.09</td>\n",
- " <td id=\"T_7f7f2_row7_col7\" class=\"data row7 col7\" >3.39</td>\n",
- " <td id=\"T_7f7f2_row7_col8\" class=\"data row7 col8\" >1.66</td>\n",
- " <td id=\"T_7f7f2_row7_col9\" class=\"data row7 col9\" >1.79</td>\n",
- " <td id=\"T_7f7f2_row7_col10\" class=\"data row7 col10\" >1.25</td>\n",
- " <td id=\"T_7f7f2_row7_col11\" class=\"data row7 col11\" >0.45</td>\n",
- " <td id=\"T_7f7f2_row7_col12\" class=\"data row7 col12\" >3.33</td>\n",
+ " <th id=\"T_c21ab_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_c21ab_row7_col0\" class=\"data row7 col0\" >9.15</td>\n",
+ " <td id=\"T_c21ab_row7_col1\" class=\"data row7 col1\" >3.91</td>\n",
+ " <td id=\"T_c21ab_row7_col2\" class=\"data row7 col2\" >2.48</td>\n",
+ " <td id=\"T_c21ab_row7_col3\" class=\"data row7 col3\" >3.55</td>\n",
+ " <td id=\"T_c21ab_row7_col4\" class=\"data row7 col4\" >2.85</td>\n",
+ " <td id=\"T_c21ab_row7_col5\" class=\"data row7 col5\" >3.63</td>\n",
+ " <td id=\"T_c21ab_row7_col6\" class=\"data row7 col6\" >1.13</td>\n",
+ " <td id=\"T_c21ab_row7_col7\" class=\"data row7 col7\" >3.34</td>\n",
+ " <td id=\"T_c21ab_row7_col8\" class=\"data row7 col8\" >1.68</td>\n",
+ " <td id=\"T_c21ab_row7_col9\" class=\"data row7 col9\" >1.82</td>\n",
+ " <td id=\"T_c21ab_row7_col10\" class=\"data row7 col10\" >1.67</td>\n",
+ " <td id=\"T_c21ab_row7_col11\" class=\"data row7 col11\" >0.42</td>\n",
+ " <td id=\"T_c21ab_row7_col12\" class=\"data row7 col12\" >3.53</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fca4d81e910>"
+ "<pandas.io.formats.style.Styler at 0x7ff60aaab9d0>"
]
},
"metadata": {},
@@ -687,91 +687,91 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_58565_\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_233a2_\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
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- " <td id=\"T_58565_row0_col1\" class=\"data row0 col1\" >-0.49</td>\n",
- " <td id=\"T_58565_row0_col2\" class=\"data row0 col2\" >0.12</td>\n",
- " <td id=\"T_58565_row0_col3\" class=\"data row0 col3\" >-0.26</td>\n",
- " <td id=\"T_58565_row0_col4\" class=\"data row0 col4\" >0.17</td>\n",
- " <td id=\"T_58565_row0_col5\" class=\"data row0 col5\" >0.97</td>\n",
- " <td id=\"T_58565_row0_col6\" class=\"data row0 col6\" >0.78</td>\n",
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- " <td id=\"T_58565_row0_col9\" class=\"data row0 col9\" >-0.78</td>\n",
- " <td id=\"T_58565_row0_col10\" class=\"data row0 col10\" >1.16</td>\n",
- " <td id=\"T_58565_row0_col11\" class=\"data row0 col11\" >0.45</td>\n",
- " <td id=\"T_58565_row0_col12\" class=\"data row0 col12\" >-0.98</td>\n",
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+ " <td id=\"T_233a2_row0_col9\" class=\"data row0 col9\" >-0.05</td>\n",
+ " <td id=\"T_233a2_row0_col10\" class=\"data row0 col10\" >-1.46</td>\n",
+ " <td id=\"T_233a2_row0_col11\" class=\"data row0 col11\" >0.39</td>\n",
+ " <td id=\"T_233a2_row0_col12\" class=\"data row0 col12\" >-0.81</td>\n",
" </tr>\n",
" <tr>\n",
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- " <td id=\"T_58565_row1_col1\" class=\"data row1 col1\" >-0.49</td>\n",
- " <td id=\"T_58565_row1_col2\" class=\"data row1 col2\" >2.11</td>\n",
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- " <td id=\"T_58565_row1_col4\" class=\"data row1 col4\" >0.24</td>\n",
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- " <td id=\"T_58565_row1_col6\" class=\"data row1 col6\" >0.54</td>\n",
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- " <td id=\"T_58565_row1_col10\" class=\"data row1 col10\" >0.30</td>\n",
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- " <td id=\"T_58565_row1_col12\" class=\"data row1 col12\" >0.17</td>\n",
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+ " <td id=\"T_233a2_row1_col2\" class=\"data row1 col2\" >0.45</td>\n",
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" </tr>\n",
" <tr>\n",
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- " <td id=\"T_58565_row2_col0\" class=\"data row2 col0\" >-0.40</td>\n",
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- " <td id=\"T_58565_row2_col4\" class=\"data row2 col4\" >-0.44</td>\n",
- " <td id=\"T_58565_row2_col5\" class=\"data row2 col5\" >1.94</td>\n",
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- " <td id=\"T_58565_row2_col8\" class=\"data row2 col8\" >-0.18</td>\n",
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- " <td id=\"T_58565_row2_col12\" class=\"data row2 col12\" >-1.21</td>\n",
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+ " <td id=\"T_233a2_row2_col4\" class=\"data row2 col4\" >2.85</td>\n",
+ " <td id=\"T_233a2_row2_col5\" class=\"data row2 col5\" >-1.60</td>\n",
+ " <td id=\"T_233a2_row2_col6\" class=\"data row2 col6\" >0.91</td>\n",
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+ " <td id=\"T_233a2_row2_col12\" class=\"data row2 col12\" >2.19</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_58565_level0_row3\" class=\"row_heading level0 row3\" >478</th>\n",
- " <td id=\"T_58565_row3_col0\" class=\"data row3 col0\" >0.73</td>\n",
- " <td id=\"T_58565_row3_col1\" class=\"data row3 col1\" >-0.49</td>\n",
- " <td id=\"T_58565_row3_col2\" class=\"data row3 col2\" >1.02</td>\n",
- " <td id=\"T_58565_row3_col3\" class=\"data row3 col3\" >-0.26</td>\n",
- " <td id=\"T_58565_row3_col4\" class=\"data row3 col4\" >0.53</td>\n",
- " <td id=\"T_58565_row3_col5\" class=\"data row3 col5\" >-0.11</td>\n",
- " <td id=\"T_58565_row3_col6\" class=\"data row3 col6\" >0.98</td>\n",
- " <td id=\"T_58565_row3_col7\" class=\"data row3 col7\" >-0.77</td>\n",
- " <td id=\"T_58565_row3_col8\" class=\"data row3 col8\" >1.66</td>\n",
- " <td id=\"T_58565_row3_col9\" class=\"data row3 col9\" >1.53</td>\n",
- " <td id=\"T_58565_row3_col10\" class=\"data row3 col10\" >0.80</td>\n",
- " <td id=\"T_58565_row3_col11\" class=\"data row3 col11\" >0.26</td>\n",
- " <td id=\"T_58565_row3_col12\" class=\"data row3 col12\" >0.67</td>\n",
+ " <th id=\"T_233a2_level0_row3\" class=\"row_heading level0 row3\" >212</th>\n",
+ " <td id=\"T_233a2_row3_col0\" class=\"data row3 col0\" >-0.37</td>\n",
+ " <td id=\"T_233a2_row3_col1\" class=\"data row3 col1\" >-0.49</td>\n",
+ " <td id=\"T_233a2_row3_col2\" class=\"data row3 col2\" >-0.04</td>\n",
+ " <td id=\"T_233a2_row3_col3\" class=\"data row3 col3\" >3.55</td>\n",
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" </tr>\n",
" <tr>\n",
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- " <td id=\"T_58565_row4_col4\" class=\"data row4 col4\" >-1.32</td>\n",
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- " <td id=\"T_58565_row4_col11\" class=\"data row4 col11\" >0.45</td>\n",
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+ " <td id=\"T_233a2_row4_col1\" class=\"data row4 col1\" >0.83</td>\n",
+ " <td id=\"T_233a2_row4_col2\" class=\"data row4 col2\" >-0.88</td>\n",
+ " <td id=\"T_233a2_row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
+ " <td id=\"T_233a2_row4_col4\" class=\"data row4 col4\" >-1.10</td>\n",
+ " <td id=\"T_233a2_row4_col5\" class=\"data row4 col5\" >0.16</td>\n",
+ " <td id=\"T_233a2_row4_col6\" class=\"data row4 col6\" >-2.12</td>\n",
+ " <td id=\"T_233a2_row4_col7\" class=\"data row4 col7\" >1.57</td>\n",
+ " <td id=\"T_233a2_row4_col8\" class=\"data row4 col8\" >-0.40</td>\n",
+ " <td id=\"T_233a2_row4_col9\" class=\"data row4 col9\" >-0.63</td>\n",
+ " <td id=\"T_233a2_row4_col10\" class=\"data row4 col10\" >-0.82</td>\n",
+ " <td id=\"T_233a2_row4_col11\" class=\"data row4 col11\" >0.17</td>\n",
+ " <td id=\"T_233a2_row4_col12\" class=\"data row4 col12\" >-1.02</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fca4f616ed0>"
+ "<pandas.io.formats.style.Styler at 0x7ff60a9777f0>"
]
},
"metadata": {},
@@ -810,10 +810,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:19.461934Z",
- "iopub.status.busy": "2021-01-14T07:11:19.461612Z",
- "iopub.status.idle": "2021-01-14T07:11:19.464012Z",
- "shell.execute_reply": "2021-01-14T07:11:19.463636Z"
+ "iopub.execute_input": "2021-01-26T10:05:39.360784Z",
+ "iopub.status.busy": "2021-01-26T10:05:39.360472Z",
+ "iopub.status.idle": "2021-01-26T10:05:39.362822Z",
+ "shell.execute_reply": "2021-01-26T10:05:39.362503Z"
}
},
"outputs": [],
@@ -822,11 +822,12 @@
" \n",
" model = keras.models.Sequential()\n",
" model.add(keras.layers.Input(shape, name=\"InputLayer\"))\n",
- " model.add(keras.layers.Dense(64, activation='relu', name='Dense_n1'))\n",
+ " model.add(keras.layers.Dense(32, activation='relu', name='Dense_n1'))\n",
" model.add(keras.layers.Dense(64, activation='relu', name='Dense_n2'))\n",
+ " model.add(keras.layers.Dense(32, activation='relu', name='Dense_n3'))\n",
" model.add(keras.layers.Dense(1, name='Output'))\n",
" \n",
- " model.compile(optimizer = 'rmsprop',\n",
+ " model.compile(optimizer = 'adam',\n",
" loss = 'mse',\n",
" metrics = ['mae', 'mse'] )\n",
" return model"
@@ -845,10 +846,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:19.467070Z",
- "iopub.status.busy": "2021-01-14T07:11:19.466743Z",
- "iopub.status.idle": "2021-01-14T07:11:19.524053Z",
- "shell.execute_reply": "2021-01-14T07:11:19.523600Z"
+ "iopub.execute_input": "2021-01-26T10:05:39.365408Z",
+ "iopub.status.busy": "2021-01-26T10:05:39.365102Z",
+ "iopub.status.idle": "2021-01-26T10:05:39.410673Z",
+ "shell.execute_reply": "2021-01-26T10:05:39.410328Z"
}
},
"outputs": [
@@ -860,1760 +861,55 @@
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
- "Dense_n1 (Dense) (None, 64) 896 \n",
+ "Dense_n1 (Dense) (None, 32) 448 \n",
"_________________________________________________________________\n",
- "Dense_n2 (Dense) (None, 64) 4160 \n",
+ "Dense_n2 (Dense) (None, 64) 2112 \n",
"_________________________________________________________________\n",
- "Output (Dense) (None, 1) 65 \n",
- "=================================================================\n",
- "Total params: 5,121\n",
- "Trainable params: 5,121\n",
- "Non-trainable params: 0\n",
- "_________________________________________________________________\n"
- ]
- }
- ],
- "source": [
- "model=get_model_v1( (13,) )\n",
- "\n",
- "model.summary()\n",
- "\n",
- "# img=keras.utils.plot_model( model, to_file='./run/model.png', show_shapes=True, show_layer_names=True, dpi=96)\n",
- "# display(img)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### 5.2 - Train it"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "execution": {
- "iopub.execute_input": "2021-01-14T07:11:19.527677Z",
- "iopub.status.busy": "2021-01-14T07:11:19.527319Z",
- "iopub.status.idle": "2021-01-14T07:11:27.244568Z",
- "shell.execute_reply": "2021-01-14T07:11:27.244221Z"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1/100\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 407.3206 - mae: 18.8522 - mse: 407.3206"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 5ms/step - loss: 512.6953 - mae: 20.4214 - mse: 512.6953 - val_loss: 371.6987 - val_mae: 17.6408 - val_mse: 371.6987\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 2/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 416.8376 - mae: 19.2768 - mse: 416.8376"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 288.0607 - mae: 14.3196 - mse: 288.0607 - val_loss: 148.8738 - val_mae: 10.0385 - val_mse: 148.8738\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 3/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 127.6482 - mae: 9.7656 - mse: 127.6482"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 113.5676 - mae: 7.8054 - mse: 113.5676 - val_loss: 63.2754 - val_mae: 6.2580 - val_mse: 63.2754\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 4/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 45.3920 - mae: 4.4821 - mse: 45.3920"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 59.1808 - mae: 5.4870 - mse: 59.1808 - val_loss: 33.1852 - val_mae: 4.4691 - val_mse: 33.1852\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 5/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 57.9958 - mae: 5.6935 - mse: 57.9958"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 38.4790 - mae: 4.3153 - mse: 38.4790 - val_loss: 22.4361 - val_mae: 3.5836 - val_mse: 22.4361\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 6/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 69.7640 - mae: 5.7963 - mse: 69.7640"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 28.4822 - mae: 3.8363 - mse: 28.4822 - val_loss: 17.4567 - val_mae: 3.0233 - val_mse: 17.4567\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 7/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 11.3394 - mae: 2.6114 - mse: 11.3394"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 23.7231 - mae: 3.4658 - mse: 23.7231 - val_loss: 16.7736 - val_mae: 2.9227 - val_mse: 16.7736\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 8/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 24.4488 - mae: 3.8661 - mse: 24.4488"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 20.6117 - mae: 3.1927 - mse: 20.6117 - val_loss: 16.6082 - val_mae: 2.7662 - val_mse: 16.6082\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 9/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 14.4122 - mae: 3.1264 - mse: 14.4122"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 18.6191 - mae: 3.0232 - mse: 18.6191 - val_loss: 17.2049 - val_mae: 2.7424 - val_mse: 17.2049\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 10/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.4165 - mae: 1.9410 - mse: 5.4165"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 17.0503 - mae: 2.8785 - mse: 17.0503 - val_loss: 16.6766 - val_mae: 2.6310 - val_mse: 16.6766\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 11/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.4784 - mae: 2.1575 - mse: 8.4784"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 15.7881 - mae: 2.8371 - mse: 15.7881 - val_loss: 17.9815 - val_mae: 2.7781 - val_mse: 17.9815\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 12/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 13.8739 - mae: 2.6540 - mse: 13.8739"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 14.9784 - mae: 2.6886 - mse: 14.9784 - val_loss: 17.6274 - val_mae: 2.6635 - val_mse: 17.6274\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 13/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.3338 - mae: 2.6182 - mse: 9.3338"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 14.2906 - mae: 2.6540 - mse: 14.2906 - val_loss: 16.9495 - val_mae: 2.6102 - val_mse: 16.9495\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 14/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 10.4900 - mae: 2.5056 - mse: 10.4900"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 13.5513 - mae: 2.5605 - mse: 13.5513 - val_loss: 17.6257 - val_mae: 2.6396 - val_mse: 17.6257\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 15/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 10.3618 - mae: 2.4442 - mse: 10.3618"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 12.7591 - mae: 2.5359 - mse: 12.7591 - val_loss: 16.8116 - val_mae: 2.6863 - val_mse: 16.8116\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 16/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 12.4388 - mae: 2.4520 - mse: 12.4388"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 12.4915 - mae: 2.4515 - mse: 12.4915 - val_loss: 16.9179 - val_mae: 2.5154 - val_mse: 16.9179\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 17/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.0083 - mae: 2.2781 - mse: 9.0083"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 12.1468 - mae: 2.4788 - mse: 12.1468 - val_loss: 16.8544 - val_mae: 2.5007 - val_mse: 16.8544\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 18/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.3079 - mae: 2.0934 - mse: 7.3079"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 11.8557 - mae: 2.3900 - mse: 11.8557 - val_loss: 18.2582 - val_mae: 2.6944 - val_mse: 18.2582\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 19/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.2752 - mae: 2.0977 - mse: 7.2752"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 11.5226 - mae: 2.3760 - mse: 11.5226 - val_loss: 17.4870 - val_mae: 2.5315 - val_mse: 17.4870\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 20/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 12.8938 - mae: 3.0963 - mse: 12.8938"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 11.0516 - mae: 2.3540 - mse: 11.0516 - val_loss: 15.7856 - val_mae: 2.4997 - val_mse: 15.7856\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 21/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.5917 - mae: 1.7147 - mse: 8.5917"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 11.0540 - mae: 2.3189 - mse: 11.0540 - val_loss: 15.8711 - val_mae: 2.4711 - val_mse: 15.8711\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 22/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.7946 - mae: 1.9941 - mse: 5.7946"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.9296 - mae: 2.2981 - mse: 10.9296 - val_loss: 15.5044 - val_mae: 2.4868 - val_mse: 15.5044\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 23/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 27.7916 - mae: 3.7462 - mse: 27.7916"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.7570 - mae: 2.2583 - mse: 10.7570 - val_loss: 16.8619 - val_mae: 2.4752 - val_mse: 16.8619\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 24/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.5477 - mae: 1.8999 - mse: 5.5477"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.5309 - mae: 2.1914 - mse: 10.5309 - val_loss: 18.0421 - val_mae: 2.5139 - val_mse: 18.0421\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 25/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.8592 - mae: 1.6594 - mse: 3.8592"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.2207 - mae: 2.2299 - mse: 10.2207 - val_loss: 15.7059 - val_mae: 2.4589 - val_mse: 15.7059\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 26/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 24.1743 - mae: 3.4121 - mse: 24.1743"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.2164 - mae: 2.2412 - mse: 10.2164 - val_loss: 17.6199 - val_mae: 2.5253 - val_mse: 17.6199\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 27/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.3696 - mae: 2.0420 - mse: 7.3696"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.7297 - mae: 2.1741 - mse: 9.7297 - val_loss: 16.4737 - val_mae: 2.4798 - val_mse: 16.4737\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 28/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.2318 - mae: 1.1947 - mse: 2.2318"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.8063 - mae: 2.1716 - mse: 9.8063 - val_loss: 15.2677 - val_mae: 2.4739 - val_mse: 15.2677\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 29/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 22.2630 - mae: 3.0200 - mse: 22.2630"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.6612 - mae: 2.1797 - mse: 9.6612 - val_loss: 14.1823 - val_mae: 2.4188 - val_mse: 14.1823\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 30/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 22.5960 - mae: 3.0913 - mse: 22.5960"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.6477 - mae: 2.1720 - mse: 9.6477 - val_loss: 15.4119 - val_mae: 2.4218 - val_mse: 15.4119\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 31/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.5775 - mae: 1.8271 - mse: 4.5775"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.3244 - mae: 2.1315 - mse: 9.3244 - val_loss: 15.6595 - val_mae: 2.4155 - val_mse: 15.6595\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 32/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.1524 - mae: 1.8350 - mse: 5.1524"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.2568 - mae: 2.1106 - mse: 9.2568 - val_loss: 14.5170 - val_mae: 2.5860 - val_mse: 14.5170\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 33/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 15.8990 - mae: 2.7259 - mse: 15.8990"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.3815 - mae: 2.1274 - mse: 9.3815 - val_loss: 15.3208 - val_mae: 2.4046 - val_mse: 15.3208\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 34/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 25.0873 - mae: 3.0151 - mse: 25.0873"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.8580 - mae: 2.1207 - mse: 8.8580 - val_loss: 14.9003 - val_mae: 2.4407 - val_mse: 14.9003\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 35/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 47.2871 - mae: 3.2998 - mse: 47.2871"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.9432 - mae: 2.0632 - mse: 8.9432 - val_loss: 16.1420 - val_mae: 2.4350 - val_mse: 16.1420\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 36/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.4445 - mae: 2.1548 - mse: 7.4445"
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- "36/36 [==============================] - 0s 2ms/step - loss: 8.6326 - mae: 2.0683 - mse: 8.6326 - val_loss: 14.2267 - val_mae: 2.4698 - val_mse: 14.2267\n"
- ]
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- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 37/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.3137 - mae: 2.2289 - mse: 7.3137"
- ]
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.7341 - mae: 2.0698 - mse: 8.7341 - val_loss: 14.6117 - val_mae: 2.4487 - val_mse: 14.6117\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 38/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.0914 - mae: 2.0325 - mse: 7.0914"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.6943 - mae: 2.0261 - mse: 8.6943 - val_loss: 15.2316 - val_mae: 2.5800 - val_mse: 15.2316\n"
- ]
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- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 39/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.2764 - mae: 1.5102 - mse: 3.2764"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.5876 - mae: 2.0295 - mse: 8.5876 - val_loss: 18.0986 - val_mae: 2.6038 - val_mse: 18.0986\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 40/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.7968 - mae: 2.1062 - mse: 5.7968"
- ]
- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 3ms/step - loss: 8.5341 - mae: 2.0621 - mse: 8.5341 - val_loss: 13.5799 - val_mae: 2.4364 - val_mse: 13.5799\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 41/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 20.1664 - mae: 3.0291 - mse: 20.1664"
- ]
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.3663 - mae: 1.9890 - mse: 8.3663 - val_loss: 16.7243 - val_mae: 2.6952 - val_mse: 16.7243\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 42/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.1991 - mae: 2.2748 - mse: 7.1991"
- ]
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.2688 - mae: 2.0357 - mse: 8.2688 - val_loss: 14.7858 - val_mae: 2.3847 - val_mse: 14.7858\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 43/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.8338 - mae: 1.0660 - mse: 1.8338"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.1713 - mae: 1.9501 - mse: 8.1713 - val_loss: 13.9294 - val_mae: 2.3886 - val_mse: 13.9294\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 44/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.2799 - mae: 1.3167 - mse: 3.2799"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.0837 - mae: 1.9946 - mse: 8.0837 - val_loss: 15.0571 - val_mae: 2.3772 - val_mse: 15.0571\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 45/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 12.0710 - mae: 2.5895 - mse: 12.0710"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.8297 - mae: 1.9675 - mse: 7.8297 - val_loss: 14.4700 - val_mae: 2.4497 - val_mse: 14.4700\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 46/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.6554 - mae: 1.7192 - mse: 8.6554"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.8721 - mae: 1.9562 - mse: 7.8721 - val_loss: 15.6275 - val_mae: 2.5021 - val_mse: 15.6275\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 47/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.6549 - mae: 1.7788 - mse: 6.6549"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.8012 - mae: 1.9234 - mse: 7.8012 - val_loss: 15.4175 - val_mae: 2.4128 - val_mse: 15.4175\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 48/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.4386 - mae: 1.6254 - mse: 4.4386"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.6501 - mae: 1.9264 - mse: 7.6501 - val_loss: 13.8509 - val_mae: 2.4258 - val_mse: 13.8509\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 49/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.6743 - mae: 1.6323 - mse: 3.6743"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.6558 - mae: 1.9328 - mse: 7.6558 - val_loss: 14.5430 - val_mae: 2.4151 - val_mse: 14.5430\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 50/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.6029 - mae: 1.5487 - mse: 3.6029"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.6111 - mae: 1.9027 - mse: 7.6111 - val_loss: 14.9128 - val_mae: 2.3905 - val_mse: 14.9128\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 51/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.6815 - mae: 1.6452 - mse: 3.6815"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.5492 - mae: 1.9115 - mse: 7.5492 - val_loss: 13.8725 - val_mae: 2.3764 - val_mse: 13.8725\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 52/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.0226 - mae: 2.2680 - mse: 9.0226"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.3721 - mae: 1.9034 - mse: 7.3721 - val_loss: 14.9186 - val_mae: 2.4914 - val_mse: 14.9186\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 53/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.9170 - mae: 2.0245 - mse: 7.9170"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.2422 - mae: 1.8615 - mse: 7.2422 - val_loss: 15.5612 - val_mae: 2.4342 - val_mse: 15.5612\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 54/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 12.3707 - mae: 2.1982 - mse: 12.3707"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.3332 - mae: 1.9150 - mse: 7.3332 - val_loss: 15.2095 - val_mae: 2.4613 - val_mse: 15.2095\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 55/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.1180 - mae: 2.1155 - mse: 7.1180"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.2277 - mae: 1.8782 - mse: 7.2277 - val_loss: 15.1990 - val_mae: 2.5274 - val_mse: 15.1990\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 56/100\n",
- "\r",
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.0867 - mae: 1.8471 - mse: 7.0867 - val_loss: 15.9479 - val_mae: 2.5210 - val_mse: 15.9479\n"
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- "output_type": "stream",
- "text": [
- "Epoch 57/100\n",
- "\r",
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.0518 - mae: 1.8468 - mse: 7.0518 - val_loss: 13.9539 - val_mae: 2.4011 - val_mse: 13.9539\n"
- ]
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- "output_type": "stream",
- "text": [
- "Epoch 58/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.4035 - mae: 1.4639 - mse: 3.4035"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.0687 - mae: 1.8449 - mse: 7.0687 - val_loss: 13.0074 - val_mae: 2.4371 - val_mse: 13.0074\n"
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- "output_type": "stream",
- "text": [
- "Epoch 59/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0958 - mae: 1.5204 - mse: 4.0958"
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- {
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.8857 - mae: 1.8453 - mse: 6.8857 - val_loss: 13.9144 - val_mae: 2.4056 - val_mse: 13.9144\n"
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- "output_type": "stream",
- "text": [
- "Epoch 60/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.9802 - mae: 1.8256 - mse: 5.9802"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.9196 - mae: 1.8199 - mse: 6.9196 - val_loss: 14.6482 - val_mae: 2.4412 - val_mse: 14.6482\n"
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- "output_type": "stream",
- "text": [
- "Epoch 61/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.4707 - mae: 1.7703 - mse: 4.4707"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.7712 - mae: 1.8107 - mse: 6.7712 - val_loss: 13.8300 - val_mae: 2.4093 - val_mse: 13.8300\n"
- ]
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- {
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- "output_type": "stream",
- "text": [
- "Epoch 62/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.0282 - mae: 2.2276 - mse: 7.0282"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.6533 - mae: 1.8254 - mse: 6.6533 - val_loss: 13.9860 - val_mae: 2.4244 - val_mse: 13.9860\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 63/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.3382 - mae: 1.0856 - mse: 3.3382"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.6135 - mae: 1.8061 - mse: 6.6135 - val_loss: 13.0682 - val_mae: 2.5226 - val_mse: 13.0682\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 64/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.2947 - mae: 1.1612 - mse: 2.2947"
- ]
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.6893 - mae: 1.7760 - mse: 6.6893 - val_loss: 13.0032 - val_mae: 2.4997 - val_mse: 13.0032\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 65/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.3190 - mae: 2.0487 - mse: 9.3190"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.5807 - mae: 1.7694 - mse: 6.5807 - val_loss: 12.8187 - val_mae: 2.4031 - val_mse: 12.8187\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 66/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.7041 - mae: 2.1078 - mse: 7.7041"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.6294 - mae: 1.7897 - mse: 6.6294 - val_loss: 13.4268 - val_mae: 2.3852 - val_mse: 13.4268\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 67/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.1215 - mae: 2.1463 - mse: 7.1215"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.4963 - mae: 1.7647 - mse: 6.4963 - val_loss: 14.4899 - val_mae: 2.4291 - val_mse: 14.4899\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 68/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.8348 - mae: 2.0396 - mse: 6.8348"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.4055 - mae: 1.7644 - mse: 6.4055 - val_loss: 13.8988 - val_mae: 2.4481 - val_mse: 13.8988\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 69/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.1401 - mae: 1.6643 - mse: 4.1401"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.3309 - mae: 1.7587 - mse: 6.3309 - val_loss: 12.7296 - val_mae: 2.4945 - val_mse: 12.7296\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 70/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.3014 - mae: 1.5148 - mse: 4.3014"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.3321 - mae: 1.7287 - mse: 6.3321 - val_loss: 12.9661 - val_mae: 2.4811 - val_mse: 12.9661\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 71/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.4335 - mae: 1.0470 - mse: 2.4335"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.3025 - mae: 1.7535 - mse: 6.3025 - val_loss: 12.6502 - val_mae: 2.4611 - val_mse: 12.6502\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 72/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0539 - mae: 1.4353 - mse: 4.0539"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.2513 - mae: 1.7225 - mse: 6.2513 - val_loss: 12.7984 - val_mae: 2.4493 - val_mse: 12.7984\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 73/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.2204 - mae: 1.3434 - mse: 3.2204"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.0639 - mae: 1.7208 - mse: 6.0639 - val_loss: 13.8270 - val_mae: 2.4772 - val_mse: 13.8270\n"
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- "text": [
- "Epoch 74/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 10.4668 - mae: 2.1620 - mse: 10.4668"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.1868 - mae: 1.7145 - mse: 6.1868 - val_loss: 14.1506 - val_mae: 2.5845 - val_mse: 14.1506\n"
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- "text": [
- "Epoch 75/100\n",
- "\r",
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.0078 - mae: 1.7327 - mse: 6.0078 - val_loss: 12.5845 - val_mae: 2.4593 - val_mse: 12.5845\n"
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- },
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- "text": [
- "Epoch 76/100\n",
- "\r",
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.9769 - mae: 1.6597 - mse: 5.9769 - val_loss: 13.7416 - val_mae: 2.4264 - val_mse: 13.7416\n"
- ]
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- "output_type": "stream",
- "text": [
- "Epoch 77/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.7732 - mae: 1.1096 - mse: 1.7732"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.7378 - mae: 1.6430 - mse: 5.7378 - val_loss: 14.9285 - val_mae: 2.4672 - val_mse: 14.9285\n"
- ]
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- "output_type": "stream",
- "text": [
- "Epoch 78/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.6906 - mae: 1.5438 - mse: 4.6906"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.0702 - mae: 1.7073 - mse: 6.0702 - val_loss: 13.5002 - val_mae: 2.4574 - val_mse: 13.5002\n"
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- "output_type": "stream",
- "text": [
- "Epoch 79/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.5350 - mae: 2.0934 - mse: 9.5350"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6094 - mae: 1.6573 - mse: 5.6094 - val_loss: 14.1111 - val_mae: 2.5431 - val_mse: 14.1111\n"
- ]
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- "output_type": "stream",
- "text": [
- "Epoch 80/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.2028 - mae: 2.3519 - mse: 9.2028"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6957 - mae: 1.6749 - mse: 5.6957 - val_loss: 13.2552 - val_mae: 2.5393 - val_mse: 13.2552\n"
- ]
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- "output_type": "stream",
- "text": [
- "Epoch 81/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.7361 - mae: 1.4276 - mse: 2.7361"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.7200 - mae: 1.6645 - mse: 5.7200 - val_loss: 13.0018 - val_mae: 2.4606 - val_mse: 13.0018\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 82/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.6291 - mae: 2.1848 - mse: 7.6291"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6837 - mae: 1.6614 - mse: 5.6837 - val_loss: 12.9487 - val_mae: 2.4460 - val_mse: 12.9487\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 83/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 11.1980 - mae: 2.2394 - mse: 11.1980"
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- },
- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6187 - mae: 1.6395 - mse: 5.6187 - val_loss: 13.6152 - val_mae: 2.4410 - val_mse: 13.6152\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 84/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.2645 - mae: 1.0280 - mse: 1.2645"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.5375 - mae: 1.6625 - mse: 5.5375 - val_loss: 13.7843 - val_mae: 2.4875 - val_mse: 13.7843\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 85/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.9352 - mae: 1.8240 - mse: 6.9352"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.5747 - mae: 1.6138 - mse: 5.5747 - val_loss: 12.9473 - val_mae: 2.4488 - val_mse: 12.9473\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 86/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.5318 - mae: 1.0513 - mse: 1.5318"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.4318 - mae: 1.5857 - mse: 5.4318 - val_loss: 13.7020 - val_mae: 2.5508 - val_mse: 13.7020\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 87/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.8362 - mae: 0.9933 - mse: 1.8362"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.4703 - mae: 1.6559 - mse: 5.4703 - val_loss: 13.3855 - val_mae: 2.4788 - val_mse: 13.3855\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 88/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.7715 - mae: 1.9173 - mse: 8.7715"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.3036 - mae: 1.6029 - mse: 5.3036 - val_loss: 14.0921 - val_mae: 2.4609 - val_mse: 14.0921\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 89/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.0246 - mae: 1.4390 - mse: 3.0246"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.3773 - mae: 1.5968 - mse: 5.3773 - val_loss: 13.9248 - val_mae: 2.4907 - val_mse: 13.9248\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 90/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.4601 - mae: 1.3539 - mse: 2.4601"
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- {
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.2268 - mae: 1.5829 - mse: 5.2268 - val_loss: 14.6749 - val_mae: 2.5361 - val_mse: 14.6749\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 91/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.8107 - mae: 1.6357 - mse: 3.8107"
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- {
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.1736 - mae: 1.5926 - mse: 5.1736 - val_loss: 13.4514 - val_mae: 2.5856 - val_mse: 13.4514\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 92/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 19.5630 - mae: 3.1410 - mse: 19.5630"
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- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.2418 - mae: 1.5954 - mse: 5.2418 - val_loss: 12.6804 - val_mae: 2.4248 - val_mse: 12.6804\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 93/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.0834 - mae: 1.4256 - mse: 3.0834"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.2488 - mae: 1.5989 - mse: 5.2488 - val_loss: 12.4736 - val_mae: 2.4226 - val_mse: 12.4736\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 94/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.8809 - mae: 2.1107 - mse: 5.8809"
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.0619 - mae: 1.5615 - mse: 5.0619 - val_loss: 13.4973 - val_mae: 2.4437 - val_mse: 13.4973\n"
- ]
- },
- {
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- "output_type": "stream",
- "text": [
- "Epoch 95/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.7440 - mae: 1.3863 - mse: 2.7440"
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- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.9695 - mae: 1.5607 - mse: 4.9695 - val_loss: 12.2446 - val_mae: 2.3704 - val_mse: 12.2446\n"
- ]
- },
- {
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- "text": [
- "Epoch 96/100\n",
- "\r",
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- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.0109 - mae: 1.5504 - mse: 5.0109 - val_loss: 12.8840 - val_mae: 2.5403 - val_mse: 12.8840\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 97/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.7687 - mae: 1.5506 - mse: 3.7687"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.8156 - mae: 1.5307 - mse: 4.8156 - val_loss: 13.2364 - val_mae: 2.5249 - val_mse: 13.2364\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 98/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.0708 - mae: 1.5772 - mse: 7.0708"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.9354 - mae: 1.5551 - mse: 4.9354 - val_loss: 12.9653 - val_mae: 2.3904 - val_mse: 12.9653\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 99/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.7436 - mae: 1.3471 - mse: 2.7436"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.0056 - mae: 1.5565 - mse: 5.0056 - val_loss: 12.4294 - val_mae: 2.4691 - val_mse: 12.4294\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 100/100\n",
- "\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.6867 - mae: 1.9347 - mse: 5.6867"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.7599 - mae: 1.5225 - mse: 4.7599 - val_loss: 14.2900 - val_mae: 2.5245 - val_mse: 14.2900\n"
+ "Dense_n3 (Dense) (None, 32) 2080 \n",
+ "_________________________________________________________________\n",
+ "Output (Dense) (None, 1) 33 \n",
+ "=================================================================\n",
+ "Total params: 4,673\n",
+ "Trainable params: 4,673\n",
+ "Non-trainable params: 0\n",
+ "_________________________________________________________________\n"
]
}
],
+ "source": [
+ "model=get_model_v1( (13,) )\n",
+ "\n",
+ "model.summary()\n",
+ "\n",
+ "# img=keras.utils.plot_model( model, to_file='./run/model.png', show_shapes=True, show_layer_names=True, dpi=96)\n",
+ "# display(img)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 5.2 - Train it"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2021-01-26T10:05:39.414997Z",
+ "iopub.status.busy": "2021-01-26T10:05:39.414618Z",
+ "iopub.status.idle": "2021-01-26T10:05:43.690360Z",
+ "shell.execute_reply": "2021-01-26T10:05:43.690624Z"
+ }
+ },
+ "outputs": [],
"source": [
"history = model.fit(x_train,\n",
" y_train,\n",
- " epochs = 100,\n",
+ " epochs = 60,\n",
" batch_size = 10,\n",
- " verbose = 1,\n",
+ " verbose = 0,\n",
" validation_data = (x_test, y_test))"
]
},
@@ -2632,10 +928,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:27.248032Z",
- "iopub.status.busy": "2021-01-14T07:11:27.247704Z",
- "iopub.status.idle": "2021-01-14T07:11:27.271323Z",
- "shell.execute_reply": "2021-01-14T07:11:27.271664Z"
+ "iopub.execute_input": "2021-01-26T10:05:43.694363Z",
+ "iopub.status.busy": "2021-01-26T10:05:43.694017Z",
+ "iopub.status.idle": "2021-01-26T10:05:43.722359Z",
+ "shell.execute_reply": "2021-01-26T10:05:43.722006Z"
}
},
"outputs": [
@@ -2643,14 +939,30 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "x_test / loss : 14.2900\n",
- "x_test / mae : 2.5245\n",
- "x_test / mse : 14.2900\n"
+ "\r",
+ "1/5 [=====>........................] - ETA: 0s - loss: 3.5110 - mae: 1.5408 - mse: 3.5110"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "5/5 [==============================] - 0s 956us/step - loss: 9.3403 - mae: 2.0969 - mse: 9.3403\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_test / loss : 9.3403\n",
+ "x_test / mae : 2.0969\n",
+ "x_test / mse : 9.3403\n"
]
}
],
"source": [
- "score = model.evaluate(x_test, y_test, verbose=0)\n",
+ "score = model.evaluate(x_test, y_test, verbose=1)\n",
"\n",
"print('x_test / loss : {:5.4f}'.format(score[0]))\n",
"print('x_test / mae : {:5.4f}'.format(score[1]))\n",
@@ -2670,10 +982,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:27.282826Z",
- "iopub.status.busy": "2021-01-14T07:11:27.282357Z",
- "iopub.status.idle": "2021-01-14T07:11:27.285322Z",
- "shell.execute_reply": "2021-01-14T07:11:27.285657Z"
+ "iopub.execute_input": "2021-01-26T10:05:43.738971Z",
+ "iopub.status.busy": "2021-01-26T10:05:43.738539Z",
+ "iopub.status.idle": "2021-01-26T10:05:43.742020Z",
+ "shell.execute_reply": "2021-01-26T10:05:43.741686Z"
}
},
"outputs": [
@@ -2709,123 +1021,610 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
- " <td>512.695251</td>\n",
- " <td>20.421410</td>\n",
- " <td>512.695251</td>\n",
- " <td>371.698700</td>\n",
- " <td>17.640818</td>\n",
- " <td>371.698700</td>\n",
+ " <td>557.726257</td>\n",
+ " <td>21.831192</td>\n",
+ " <td>557.726257</td>\n",
+ " <td>465.410767</td>\n",
+ " <td>19.443037</td>\n",
+ " <td>465.410736</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
- " <td>288.060730</td>\n",
- " <td>14.319571</td>\n",
- " <td>288.060730</td>\n",
- " <td>148.873795</td>\n",
- " <td>10.038457</td>\n",
- " <td>148.873795</td>\n",
+ " <td>318.877411</td>\n",
+ " <td>15.442590</td>\n",
+ " <td>318.877411</td>\n",
+ " <td>103.988831</td>\n",
+ " <td>8.112327</td>\n",
+ " <td>103.988831</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
- " <td>113.567566</td>\n",
- " <td>7.805418</td>\n",
- " <td>113.567551</td>\n",
- " <td>63.275372</td>\n",
- " <td>6.258007</td>\n",
- " <td>63.275372</td>\n",
+ " <td>69.732025</td>\n",
+ " <td>6.398403</td>\n",
+ " <td>69.732025</td>\n",
+ " <td>51.505543</td>\n",
+ " <td>5.268475</td>\n",
+ " <td>51.505543</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
- " <td>59.180847</td>\n",
- " <td>5.487036</td>\n",
- " <td>59.180840</td>\n",
- " <td>33.185242</td>\n",
- " <td>4.469059</td>\n",
- " <td>33.185242</td>\n",
+ " <td>39.388409</td>\n",
+ " <td>4.640034</td>\n",
+ " <td>39.388409</td>\n",
+ " <td>34.674347</td>\n",
+ " <td>4.275979</td>\n",
+ " <td>34.674347</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
- " <td>38.479008</td>\n",
- " <td>4.315325</td>\n",
- " <td>38.479008</td>\n",
- " <td>22.436140</td>\n",
- " <td>3.583613</td>\n",
- " <td>22.436140</td>\n",
+ " <td>28.131756</td>\n",
+ " <td>3.866695</td>\n",
+ " <td>28.131756</td>\n",
+ " <td>27.692772</td>\n",
+ " <td>3.827654</td>\n",
+ " <td>27.692772</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>23.777824</td>\n",
+ " <td>3.556679</td>\n",
+ " <td>23.777824</td>\n",
+ " <td>22.575790</td>\n",
+ " <td>3.403368</td>\n",
+ " <td>22.575790</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>20.519739</td>\n",
+ " <td>3.294708</td>\n",
+ " <td>20.519739</td>\n",
+ " <td>21.762815</td>\n",
+ " <td>3.298342</td>\n",
+ " <td>21.762815</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>18.815275</td>\n",
+ " <td>3.125894</td>\n",
+ " <td>18.815275</td>\n",
+ " <td>18.112053</td>\n",
+ " <td>2.959999</td>\n",
+ " <td>18.112053</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>16.599741</td>\n",
+ " <td>2.892735</td>\n",
+ " <td>16.599739</td>\n",
+ " <td>17.557838</td>\n",
+ " <td>3.069333</td>\n",
+ " <td>17.557838</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>16.405441</td>\n",
+ " <td>2.918119</td>\n",
+ " <td>16.405441</td>\n",
+ " <td>16.186060</td>\n",
+ " <td>2.797933</td>\n",
+ " <td>16.186060</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>14.986947</td>\n",
+ " <td>2.807280</td>\n",
+ " <td>14.986949</td>\n",
+ " <td>14.709121</td>\n",
+ " <td>2.685835</td>\n",
+ " <td>14.709121</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>14.074747</td>\n",
+ " <td>2.706658</td>\n",
+ " <td>14.074747</td>\n",
+ " <td>14.212440</td>\n",
+ " <td>2.691782</td>\n",
+ " <td>14.212440</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>13.811787</td>\n",
+ " <td>2.679205</td>\n",
+ " <td>13.811787</td>\n",
+ " <td>14.335299</td>\n",
+ " <td>2.576332</td>\n",
+ " <td>14.335299</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>13.124378</td>\n",
+ " <td>2.618532</td>\n",
+ " <td>13.124378</td>\n",
+ " <td>13.333841</td>\n",
+ " <td>2.556603</td>\n",
+ " <td>13.333842</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>13.198022</td>\n",
+ " <td>2.602929</td>\n",
+ " <td>13.198022</td>\n",
+ " <td>12.690322</td>\n",
+ " <td>2.491196</td>\n",
+ " <td>12.690322</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>12.325433</td>\n",
+ " <td>2.533353</td>\n",
+ " <td>12.325433</td>\n",
+ " <td>12.782486</td>\n",
+ " <td>2.509454</td>\n",
+ " <td>12.782486</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>12.234372</td>\n",
+ " <td>2.545480</td>\n",
+ " <td>12.234372</td>\n",
+ " <td>13.353986</td>\n",
+ " <td>2.452728</td>\n",
+ " <td>13.353986</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>11.956176</td>\n",
+ " <td>2.492947</td>\n",
+ " <td>11.956176</td>\n",
+ " <td>11.975513</td>\n",
+ " <td>2.387591</td>\n",
+ " <td>11.975513</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>11.457092</td>\n",
+ " <td>2.451375</td>\n",
+ " <td>11.457092</td>\n",
+ " <td>11.666655</td>\n",
+ " <td>2.363236</td>\n",
+ " <td>11.666655</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>11.117778</td>\n",
+ " <td>2.394921</td>\n",
+ " <td>11.117778</td>\n",
+ " <td>11.824350</td>\n",
+ " <td>2.360310</td>\n",
+ " <td>11.824350</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>10.985151</td>\n",
+ " <td>2.407069</td>\n",
+ " <td>10.985151</td>\n",
+ " <td>11.891624</td>\n",
+ " <td>2.405929</td>\n",
+ " <td>11.891624</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>10.578799</td>\n",
+ " <td>2.342614</td>\n",
+ " <td>10.578799</td>\n",
+ " <td>11.270648</td>\n",
+ " <td>2.395034</td>\n",
+ " <td>11.270648</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>10.762817</td>\n",
+ " <td>2.436217</td>\n",
+ " <td>10.762817</td>\n",
+ " <td>11.693694</td>\n",
+ " <td>2.312181</td>\n",
+ " <td>11.693694</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>10.151906</td>\n",
+ " <td>2.312908</td>\n",
+ " <td>10.151906</td>\n",
+ " <td>10.904819</td>\n",
+ " <td>2.328074</td>\n",
+ " <td>10.904819</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>10.126535</td>\n",
+ " <td>2.287258</td>\n",
+ " <td>10.126535</td>\n",
+ " <td>11.022042</td>\n",
+ " <td>2.255396</td>\n",
+ " <td>11.022042</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>9.863147</td>\n",
+ " <td>2.302330</td>\n",
+ " <td>9.863147</td>\n",
+ " <td>10.363058</td>\n",
+ " <td>2.246683</td>\n",
+ " <td>10.363058</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>9.859764</td>\n",
+ " <td>2.252545</td>\n",
+ " <td>9.859764</td>\n",
+ " <td>10.459204</td>\n",
+ " <td>2.239222</td>\n",
+ " <td>10.459204</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>9.713793</td>\n",
+ " <td>2.271523</td>\n",
+ " <td>9.713793</td>\n",
+ " <td>11.134462</td>\n",
+ " <td>2.254570</td>\n",
+ " <td>11.134462</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>9.868529</td>\n",
+ " <td>2.247317</td>\n",
+ " <td>9.868529</td>\n",
+ " <td>10.338126</td>\n",
+ " <td>2.218763</td>\n",
+ " <td>10.338126</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>9.307846</td>\n",
+ " <td>2.224904</td>\n",
+ " <td>9.307846</td>\n",
+ " <td>10.477029</td>\n",
+ " <td>2.242280</td>\n",
+ " <td>10.477029</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>9.090651</td>\n",
+ " <td>2.168821</td>\n",
+ " <td>9.090651</td>\n",
+ " <td>10.282516</td>\n",
+ " <td>2.224239</td>\n",
+ " <td>10.282516</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>9.014149</td>\n",
+ " <td>2.188533</td>\n",
+ " <td>9.014149</td>\n",
+ " <td>10.177198</td>\n",
+ " <td>2.153015</td>\n",
+ " <td>10.177198</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>8.744909</td>\n",
+ " <td>2.164945</td>\n",
+ " <td>8.744909</td>\n",
+ " <td>10.522911</td>\n",
+ " <td>2.226613</td>\n",
+ " <td>10.522911</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>9.020723</td>\n",
+ " <td>2.207946</td>\n",
+ " <td>9.020723</td>\n",
+ " <td>10.507494</td>\n",
+ " <td>2.184844</td>\n",
+ " <td>10.507494</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>8.781519</td>\n",
+ " <td>2.140479</td>\n",
+ " <td>8.781519</td>\n",
+ " <td>10.360873</td>\n",
+ " <td>2.295997</td>\n",
+ " <td>10.360873</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>8.468283</td>\n",
+ " <td>2.115799</td>\n",
+ " <td>8.468283</td>\n",
+ " <td>10.011640</td>\n",
+ " <td>2.135673</td>\n",
+ " <td>10.011640</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>8.357755</td>\n",
+ " <td>2.116824</td>\n",
+ " <td>8.357755</td>\n",
+ " <td>9.635697</td>\n",
+ " <td>2.110390</td>\n",
+ " <td>9.635697</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>8.211731</td>\n",
+ " <td>2.107623</td>\n",
+ " <td>8.211731</td>\n",
+ " <td>10.262143</td>\n",
+ " <td>2.281520</td>\n",
+ " <td>10.262143</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>8.281448</td>\n",
+ " <td>2.157730</td>\n",
+ " <td>8.281448</td>\n",
+ " <td>10.570223</td>\n",
+ " <td>2.250335</td>\n",
+ " <td>10.570223</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>8.278201</td>\n",
+ " <td>2.070124</td>\n",
+ " <td>8.278201</td>\n",
+ " <td>10.093378</td>\n",
+ " <td>2.270190</td>\n",
+ " <td>10.093378</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>8.265082</td>\n",
+ " <td>2.099927</td>\n",
+ " <td>8.265082</td>\n",
+ " <td>9.636299</td>\n",
+ " <td>2.118821</td>\n",
+ " <td>9.636299</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>8.124822</td>\n",
+ " <td>2.086098</td>\n",
+ " <td>8.124822</td>\n",
+ " <td>9.540481</td>\n",
+ " <td>2.148956</td>\n",
+ " <td>9.540482</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>7.512119</td>\n",
+ " <td>2.017386</td>\n",
+ " <td>7.512119</td>\n",
+ " <td>10.176338</td>\n",
+ " <td>2.157403</td>\n",
+ " <td>10.176338</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>7.723448</td>\n",
+ " <td>2.040274</td>\n",
+ " <td>7.723448</td>\n",
+ " <td>9.509778</td>\n",
+ " <td>2.115561</td>\n",
+ " <td>9.509778</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>7.411258</td>\n",
+ " <td>2.008291</td>\n",
+ " <td>7.411258</td>\n",
+ " <td>9.570114</td>\n",
+ " <td>2.092582</td>\n",
+ " <td>9.570114</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>7.417708</td>\n",
+ " <td>1.981194</td>\n",
+ " <td>7.417708</td>\n",
+ " <td>9.861259</td>\n",
+ " <td>2.230442</td>\n",
+ " <td>9.861259</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>7.077811</td>\n",
+ " <td>1.967764</td>\n",
+ " <td>7.077811</td>\n",
+ " <td>9.944820</td>\n",
+ " <td>2.244957</td>\n",
+ " <td>9.944820</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>7.371243</td>\n",
+ " <td>2.003061</td>\n",
+ " <td>7.371243</td>\n",
+ " <td>9.661145</td>\n",
+ " <td>2.100175</td>\n",
+ " <td>9.661145</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>7.123611</td>\n",
+ " <td>1.927446</td>\n",
+ " <td>7.123611</td>\n",
+ " <td>9.585645</td>\n",
+ " <td>2.103635</td>\n",
+ " <td>9.585645</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>6.978843</td>\n",
+ " <td>1.930427</td>\n",
+ " <td>6.978843</td>\n",
+ " <td>10.193055</td>\n",
+ " <td>2.162076</td>\n",
+ " <td>10.193055</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>6.884855</td>\n",
+ " <td>1.942071</td>\n",
+ " <td>6.884855</td>\n",
+ " <td>10.418103</td>\n",
+ " <td>2.333501</td>\n",
+ " <td>10.418103</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>7.147726</td>\n",
+ " <td>1.980531</td>\n",
+ " <td>7.147726</td>\n",
+ " <td>9.417629</td>\n",
+ " <td>2.118321</td>\n",
+ " <td>9.417629</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>6.824506</td>\n",
+ " <td>1.921721</td>\n",
+ " <td>6.824506</td>\n",
+ " <td>9.488361</td>\n",
+ " <td>2.129512</td>\n",
+ " <td>9.488361</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>6.757942</td>\n",
+ " <td>1.891000</td>\n",
+ " <td>6.757943</td>\n",
+ " <td>9.805650</td>\n",
+ " <td>2.229327</td>\n",
+ " <td>9.805650</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
+ " <th>54</th>\n",
+ " <td>7.123629</td>\n",
+ " <td>1.978724</td>\n",
+ " <td>7.123629</td>\n",
+ " <td>9.275468</td>\n",
+ " <td>2.090889</td>\n",
+ " <td>9.275468</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>95</th>\n",
- " <td>5.010880</td>\n",
- " <td>1.550388</td>\n",
- " <td>5.010880</td>\n",
- " <td>12.883963</td>\n",
- " <td>2.540313</td>\n",
- " <td>12.883963</td>\n",
+ " <th>55</th>\n",
+ " <td>6.777099</td>\n",
+ " <td>1.936836</td>\n",
+ " <td>6.777099</td>\n",
+ " <td>9.289158</td>\n",
+ " <td>2.090047</td>\n",
+ " <td>9.289159</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>96</th>\n",
- " <td>4.815630</td>\n",
- " <td>1.530723</td>\n",
- " <td>4.815630</td>\n",
- " <td>13.236412</td>\n",
- " <td>2.524947</td>\n",
- " <td>13.236412</td>\n",
+ " <th>56</th>\n",
+ " <td>6.527234</td>\n",
+ " <td>1.862703</td>\n",
+ " <td>6.527234</td>\n",
+ " <td>9.582511</td>\n",
+ " <td>2.137109</td>\n",
+ " <td>9.582510</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>97</th>\n",
- " <td>4.935360</td>\n",
- " <td>1.555126</td>\n",
- " <td>4.935360</td>\n",
- " <td>12.965294</td>\n",
- " <td>2.390428</td>\n",
- " <td>12.965294</td>\n",
+ " <th>57</th>\n",
+ " <td>6.308619</td>\n",
+ " <td>1.845440</td>\n",
+ " <td>6.308619</td>\n",
+ " <td>9.423947</td>\n",
+ " <td>2.129577</td>\n",
+ " <td>9.423947</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>98</th>\n",
- " <td>5.005613</td>\n",
- " <td>1.556515</td>\n",
- " <td>5.005613</td>\n",
- " <td>12.429406</td>\n",
- " <td>2.469126</td>\n",
- " <td>12.429406</td>\n",
+ " <th>58</th>\n",
+ " <td>6.280417</td>\n",
+ " <td>1.813460</td>\n",
+ " <td>6.280417</td>\n",
+ " <td>8.884837</td>\n",
+ " <td>2.053834</td>\n",
+ " <td>8.884837</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>99</th>\n",
- " <td>4.759908</td>\n",
- " <td>1.522508</td>\n",
- " <td>4.759908</td>\n",
- " <td>14.290004</td>\n",
- " <td>2.524544</td>\n",
- " <td>14.290004</td>\n",
+ " <th>59</th>\n",
+ " <td>6.697522</td>\n",
+ " <td>1.930690</td>\n",
+ " <td>6.697522</td>\n",
+ " <td>9.340263</td>\n",
+ " <td>2.096867</td>\n",
+ " <td>9.340263</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>100 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" loss mae mse val_loss val_mae val_mse\n",
- "0 512.695251 20.421410 512.695251 371.698700 17.640818 371.698700\n",
- "1 288.060730 14.319571 288.060730 148.873795 10.038457 148.873795\n",
- "2 113.567566 7.805418 113.567551 63.275372 6.258007 63.275372\n",
- "3 59.180847 5.487036 59.180840 33.185242 4.469059 33.185242\n",
- "4 38.479008 4.315325 38.479008 22.436140 3.583613 22.436140\n",
- ".. ... ... ... ... ... ...\n",
- "95 5.010880 1.550388 5.010880 12.883963 2.540313 12.883963\n",
- "96 4.815630 1.530723 4.815630 13.236412 2.524947 13.236412\n",
- "97 4.935360 1.555126 4.935360 12.965294 2.390428 12.965294\n",
- "98 5.005613 1.556515 5.005613 12.429406 2.469126 12.429406\n",
- "99 4.759908 1.522508 4.759908 14.290004 2.524544 14.290004\n",
- "\n",
- "[100 rows x 6 columns]"
+ "0 557.726257 21.831192 557.726257 465.410767 19.443037 465.410736\n",
+ "1 318.877411 15.442590 318.877411 103.988831 8.112327 103.988831\n",
+ "2 69.732025 6.398403 69.732025 51.505543 5.268475 51.505543\n",
+ "3 39.388409 4.640034 39.388409 34.674347 4.275979 34.674347\n",
+ "4 28.131756 3.866695 28.131756 27.692772 3.827654 27.692772\n",
+ "5 23.777824 3.556679 23.777824 22.575790 3.403368 22.575790\n",
+ "6 20.519739 3.294708 20.519739 21.762815 3.298342 21.762815\n",
+ "7 18.815275 3.125894 18.815275 18.112053 2.959999 18.112053\n",
+ "8 16.599741 2.892735 16.599739 17.557838 3.069333 17.557838\n",
+ "9 16.405441 2.918119 16.405441 16.186060 2.797933 16.186060\n",
+ "10 14.986947 2.807280 14.986949 14.709121 2.685835 14.709121\n",
+ "11 14.074747 2.706658 14.074747 14.212440 2.691782 14.212440\n",
+ "12 13.811787 2.679205 13.811787 14.335299 2.576332 14.335299\n",
+ "13 13.124378 2.618532 13.124378 13.333841 2.556603 13.333842\n",
+ "14 13.198022 2.602929 13.198022 12.690322 2.491196 12.690322\n",
+ "15 12.325433 2.533353 12.325433 12.782486 2.509454 12.782486\n",
+ "16 12.234372 2.545480 12.234372 13.353986 2.452728 13.353986\n",
+ "17 11.956176 2.492947 11.956176 11.975513 2.387591 11.975513\n",
+ "18 11.457092 2.451375 11.457092 11.666655 2.363236 11.666655\n",
+ "19 11.117778 2.394921 11.117778 11.824350 2.360310 11.824350\n",
+ "20 10.985151 2.407069 10.985151 11.891624 2.405929 11.891624\n",
+ "21 10.578799 2.342614 10.578799 11.270648 2.395034 11.270648\n",
+ "22 10.762817 2.436217 10.762817 11.693694 2.312181 11.693694\n",
+ "23 10.151906 2.312908 10.151906 10.904819 2.328074 10.904819\n",
+ "24 10.126535 2.287258 10.126535 11.022042 2.255396 11.022042\n",
+ "25 9.863147 2.302330 9.863147 10.363058 2.246683 10.363058\n",
+ "26 9.859764 2.252545 9.859764 10.459204 2.239222 10.459204\n",
+ "27 9.713793 2.271523 9.713793 11.134462 2.254570 11.134462\n",
+ "28 9.868529 2.247317 9.868529 10.338126 2.218763 10.338126\n",
+ "29 9.307846 2.224904 9.307846 10.477029 2.242280 10.477029\n",
+ "30 9.090651 2.168821 9.090651 10.282516 2.224239 10.282516\n",
+ "31 9.014149 2.188533 9.014149 10.177198 2.153015 10.177198\n",
+ "32 8.744909 2.164945 8.744909 10.522911 2.226613 10.522911\n",
+ "33 9.020723 2.207946 9.020723 10.507494 2.184844 10.507494\n",
+ "34 8.781519 2.140479 8.781519 10.360873 2.295997 10.360873\n",
+ "35 8.468283 2.115799 8.468283 10.011640 2.135673 10.011640\n",
+ "36 8.357755 2.116824 8.357755 9.635697 2.110390 9.635697\n",
+ "37 8.211731 2.107623 8.211731 10.262143 2.281520 10.262143\n",
+ "38 8.281448 2.157730 8.281448 10.570223 2.250335 10.570223\n",
+ "39 8.278201 2.070124 8.278201 10.093378 2.270190 10.093378\n",
+ "40 8.265082 2.099927 8.265082 9.636299 2.118821 9.636299\n",
+ "41 8.124822 2.086098 8.124822 9.540481 2.148956 9.540482\n",
+ "42 7.512119 2.017386 7.512119 10.176338 2.157403 10.176338\n",
+ "43 7.723448 2.040274 7.723448 9.509778 2.115561 9.509778\n",
+ "44 7.411258 2.008291 7.411258 9.570114 2.092582 9.570114\n",
+ "45 7.417708 1.981194 7.417708 9.861259 2.230442 9.861259\n",
+ "46 7.077811 1.967764 7.077811 9.944820 2.244957 9.944820\n",
+ "47 7.371243 2.003061 7.371243 9.661145 2.100175 9.661145\n",
+ "48 7.123611 1.927446 7.123611 9.585645 2.103635 9.585645\n",
+ "49 6.978843 1.930427 6.978843 10.193055 2.162076 10.193055\n",
+ "50 6.884855 1.942071 6.884855 10.418103 2.333501 10.418103\n",
+ "51 7.147726 1.980531 7.147726 9.417629 2.118321 9.417629\n",
+ "52 6.824506 1.921721 6.824506 9.488361 2.129512 9.488361\n",
+ "53 6.757942 1.891000 6.757943 9.805650 2.229327 9.805650\n",
+ "54 7.123629 1.978724 7.123629 9.275468 2.090889 9.275468\n",
+ "55 6.777099 1.936836 6.777099 9.289158 2.090047 9.289159\n",
+ "56 6.527234 1.862703 6.527234 9.582511 2.137109 9.582510\n",
+ "57 6.308619 1.845440 6.308619 9.423947 2.129577 9.423947\n",
+ "58 6.280417 1.813460 6.280417 8.884837 2.053834 8.884837\n",
+ "59 6.697522 1.930690 6.697522 9.340263 2.096867 9.340263"
]
},
"metadata": {},
@@ -2842,10 +1641,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:27.288802Z",
- "iopub.status.busy": "2021-01-14T07:11:27.288358Z",
- "iopub.status.idle": "2021-01-14T07:11:27.291066Z",
- "shell.execute_reply": "2021-01-14T07:11:27.290733Z"
+ "iopub.execute_input": "2021-01-26T10:05:43.744939Z",
+ "iopub.status.busy": "2021-01-26T10:05:43.744518Z",
+ "iopub.status.idle": "2021-01-26T10:05:43.747187Z",
+ "shell.execute_reply": "2021-01-26T10:05:43.746864Z"
}
},
"outputs": [
@@ -2853,7 +1652,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "min( val_mae ) : 2.3704\n"
+ "min( val_mae ) : 2.0538\n"
]
}
],
@@ -2866,10 +1665,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:27.296795Z",
- "iopub.status.busy": "2021-01-14T07:11:27.296413Z",
- "iopub.status.idle": "2021-01-14T07:11:28.313345Z",
- "shell.execute_reply": "2021-01-14T07:11:28.312924Z"
+ "iopub.execute_input": "2021-01-26T10:05:43.759149Z",
+ "iopub.status.busy": "2021-01-26T10:05:43.758817Z",
+ "iopub.status.idle": "2021-01-26T10:05:44.803167Z",
+ "shell.execute_reply": "2021-01-26T10:05:44.802794Z"
}
},
"outputs": [
@@ -2887,7 +1686,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -2911,7 +1710,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -2935,7 +1734,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -2965,10 +1764,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:28.316757Z",
- "iopub.status.busy": "2021-01-14T07:11:28.316418Z",
- "iopub.status.idle": "2021-01-14T07:11:28.319009Z",
- "shell.execute_reply": "2021-01-14T07:11:28.318619Z"
+ "iopub.execute_input": "2021-01-26T10:05:44.806538Z",
+ "iopub.status.busy": "2021-01-26T10:05:44.806191Z",
+ "iopub.status.idle": "2021-01-26T10:05:44.808424Z",
+ "shell.execute_reply": "2021-01-26T10:05:44.808081Z"
}
},
"outputs": [],
@@ -2986,10 +1785,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:28.322754Z",
- "iopub.status.busy": "2021-01-14T07:11:28.321869Z",
- "iopub.status.idle": "2021-01-14T07:11:28.409681Z",
- "shell.execute_reply": "2021-01-14T07:11:28.409332Z"
+ "iopub.execute_input": "2021-01-26T10:05:44.813171Z",
+ "iopub.status.busy": "2021-01-26T10:05:44.812330Z",
+ "iopub.status.idle": "2021-01-26T10:05:44.898665Z",
+ "shell.execute_reply": "2021-01-26T10:05:44.898926Z"
}
},
"outputs": [
@@ -2997,7 +1796,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Prediction : 10.24 K$\n",
+ "Prediction : 11.22 K$\n",
"Reality : 10.40 K$\n"
]
}
@@ -3014,10 +1813,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:28.412496Z",
- "iopub.status.busy": "2021-01-14T07:11:28.412150Z",
- "iopub.status.idle": "2021-01-14T07:11:28.415355Z",
- "shell.execute_reply": "2021-01-14T07:11:28.415951Z"
+ "iopub.execute_input": "2021-01-26T10:05:44.901786Z",
+ "iopub.status.busy": "2021-01-26T10:05:44.901270Z",
+ "iopub.status.idle": "2021-01-26T10:05:44.905613Z",
+ "shell.execute_reply": "2021-01-26T10:05:44.905923Z"
}
},
"outputs": [
@@ -3025,8 +1824,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:11:28\n",
- "Duration is : 00:00:09 085ms\n",
+ "End time is : Tuesday 26 January 2021, 11:05:44\n",
+ "Duration is : 00:00:06 724ms\n",
"This notebook ends here\n"
]
}
@@ -3060,7 +1859,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/BHPD/02-DNN-Regression-Premium==done==.ipynb b/BHPD/02-DNN-Regression-Premium==done==.ipynb
index 83a95b904de66e7b17efc23476f25611f5e2fe86..1b2d94cc08e9154186ee6ef62e57cce895b2e698 100644
--- a/BHPD/02-DNN-Regression-Premium==done==.ipynb
+++ b/BHPD/02-DNN-Regression-Premium==done==.ipynb
@@ -55,10 +55,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:29.428040Z",
- "iopub.status.busy": "2021-01-14T07:11:29.427715Z",
- "iopub.status.idle": "2021-01-14T07:11:30.750524Z",
- "shell.execute_reply": "2021-01-14T07:11:30.750181Z"
+ "iopub.execute_input": "2021-01-26T10:05:46.815488Z",
+ "iopub.status.busy": "2021-01-26T10:05:46.815173Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.179447Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.178876Z"
}
},
"outputs": [
@@ -137,12 +137,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : BHPD2\n",
- "Run time : Thursday 14 January 2021, 08:11:30\n",
+ "Run time : Tuesday 26 January 2021, 11:05:48\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -183,10 +183,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.753185Z",
- "iopub.status.busy": "2021-01-14T07:11:30.752868Z",
- "iopub.status.idle": "2021-01-14T07:11:30.755046Z",
- "shell.execute_reply": "2021-01-14T07:11:30.754768Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.182207Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.181875Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.184530Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.184201Z"
}
},
"outputs": [],
@@ -207,10 +207,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.758214Z",
- "iopub.status.busy": "2021-01-14T07:11:30.757894Z",
- "iopub.status.idle": "2021-01-14T07:11:30.790895Z",
- "shell.execute_reply": "2021-01-14T07:11:30.791236Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.187819Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.187503Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.271544Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.271865Z"
}
},
"outputs": [
@@ -218,96 +218,96 @@
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" <tr>\n",
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" <tr>\n",
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+ " <th id=\"T_703ca_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
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" </tr>\n",
" <tr>\n",
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- " <td id=\"T_ee48b_row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
+ " <th id=\"T_703ca_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+ " <td id=\"T_703ca_row3_col0\" class=\"data row3 col0\" >0.03</td>\n",
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+ " <td id=\"T_703ca_row3_col12\" class=\"data row3 col12\" >2.94</td>\n",
+ " <td id=\"T_703ca_row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_ee48b_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
- " <td id=\"T_ee48b_row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
- " <td id=\"T_ee48b_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_ee48b_row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
- " <td id=\"T_ee48b_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_ee48b_row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
- " <td id=\"T_ee48b_row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
- " <td id=\"T_ee48b_row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
- " <td id=\"T_ee48b_row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
- " <td id=\"T_ee48b_row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
- " <td id=\"T_ee48b_row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
- " <td id=\"T_ee48b_row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
- " <td id=\"T_ee48b_row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
- " <td id=\"T_ee48b_row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
- " <td id=\"T_ee48b_row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
+ " <th id=\"T_703ca_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+ " <td id=\"T_703ca_row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
+ " <td id=\"T_703ca_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_703ca_row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
+ " <td id=\"T_703ca_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_703ca_row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
+ " <td id=\"T_703ca_row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
+ " <td id=\"T_703ca_row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
+ " <td id=\"T_703ca_row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
+ " <td id=\"T_703ca_row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
+ " <td id=\"T_703ca_row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
+ " <td id=\"T_703ca_row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
+ " <td id=\"T_703ca_row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
+ " <td id=\"T_703ca_row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
+ " <td id=\"T_703ca_row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f63ac2b3a50>"
+ "<pandas.io.formats.style.Styler at 0x7f4d9c245490>"
]
},
"metadata": {},
@@ -343,10 +343,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.797963Z",
- "iopub.status.busy": "2021-01-14T07:11:30.797461Z",
- "iopub.status.idle": "2021-01-14T07:11:30.800339Z",
- "shell.execute_reply": "2021-01-14T07:11:30.800007Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.278432Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.278020Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.281786Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.281280Z"
}
},
"outputs": [
@@ -395,10 +395,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.806114Z",
- "iopub.status.busy": "2021-01-14T07:11:30.805722Z",
- "iopub.status.idle": "2021-01-14T07:11:30.860612Z",
- "shell.execute_reply": "2021-01-14T07:11:30.860272Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.289733Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.287772Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.345857Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.345485Z"
}
},
"outputs": [
@@ -406,139 +406,139 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_43fc3_\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_bfc15_\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_43fc3_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_43fc3_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_bfc15_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_bfc15_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_bfc15_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_43fc3_row1_col0\" class=\"data row1 col0\" >3.62</td>\n",
- " <td id=\"T_43fc3_row1_col1\" class=\"data row1 col1\" >12.34</td>\n",
- " <td id=\"T_43fc3_row1_col2\" class=\"data row1 col2\" >11.04</td>\n",
- " <td id=\"T_43fc3_row1_col3\" class=\"data row1 col3\" >0.06</td>\n",
- " <td id=\"T_43fc3_row1_col4\" class=\"data row1 col4\" >0.56</td>\n",
- " <td id=\"T_43fc3_row1_col5\" class=\"data row1 col5\" >6.32</td>\n",
- " <td id=\"T_43fc3_row1_col6\" class=\"data row1 col6\" >69.45</td>\n",
- " <td id=\"T_43fc3_row1_col7\" class=\"data row1 col7\" >3.77</td>\n",
- " <td id=\"T_43fc3_row1_col8\" class=\"data row1 col8\" >9.72</td>\n",
- " <td id=\"T_43fc3_row1_col9\" class=\"data row1 col9\" >409.79</td>\n",
- " <td id=\"T_43fc3_row1_col10\" class=\"data row1 col10\" >18.47</td>\n",
- " <td id=\"T_43fc3_row1_col11\" class=\"data row1 col11\" >355.96</td>\n",
- " <td id=\"T_43fc3_row1_col12\" class=\"data row1 col12\" >12.61</td>\n",
+ " <th id=\"T_bfc15_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_bfc15_row1_col0\" class=\"data row1 col0\" >3.47</td>\n",
+ " <td id=\"T_bfc15_row1_col1\" class=\"data row1 col1\" >10.09</td>\n",
+ " <td id=\"T_bfc15_row1_col2\" class=\"data row1 col2\" >11.35</td>\n",
+ " <td id=\"T_bfc15_row1_col3\" class=\"data row1 col3\" >0.07</td>\n",
+ " <td id=\"T_bfc15_row1_col4\" class=\"data row1 col4\" >0.56</td>\n",
+ " <td id=\"T_bfc15_row1_col5\" class=\"data row1 col5\" >6.28</td>\n",
+ " <td id=\"T_bfc15_row1_col6\" class=\"data row1 col6\" >69.64</td>\n",
+ " <td id=\"T_bfc15_row1_col7\" class=\"data row1 col7\" >3.70</td>\n",
+ " <td id=\"T_bfc15_row1_col8\" class=\"data row1 col8\" >9.58</td>\n",
+ " <td id=\"T_bfc15_row1_col9\" class=\"data row1 col9\" >410.23</td>\n",
+ " <td id=\"T_bfc15_row1_col10\" class=\"data row1 col10\" >18.40</td>\n",
+ " <td id=\"T_bfc15_row1_col11\" class=\"data row1 col11\" >357.63</td>\n",
+ " <td id=\"T_bfc15_row1_col12\" class=\"data row1 col12\" >12.82</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_43fc3_row2_col0\" class=\"data row2 col0\" >8.57</td>\n",
- " <td id=\"T_43fc3_row2_col1\" class=\"data row2 col1\" >24.67</td>\n",
- " <td id=\"T_43fc3_row2_col2\" class=\"data row2 col2\" >6.91</td>\n",
- " <td id=\"T_43fc3_row2_col3\" class=\"data row2 col3\" >0.24</td>\n",
- " <td id=\"T_43fc3_row2_col4\" class=\"data row2 col4\" >0.12</td>\n",
- " <td id=\"T_43fc3_row2_col5\" class=\"data row2 col5\" >0.71</td>\n",
- " <td id=\"T_43fc3_row2_col6\" class=\"data row2 col6\" >27.79</td>\n",
- " <td id=\"T_43fc3_row2_col7\" class=\"data row2 col7\" >2.14</td>\n",
- " <td id=\"T_43fc3_row2_col8\" class=\"data row2 col8\" >8.83</td>\n",
- " <td id=\"T_43fc3_row2_col9\" class=\"data row2 col9\" >169.10</td>\n",
- " <td id=\"T_43fc3_row2_col10\" class=\"data row2 col10\" >2.21</td>\n",
- " <td id=\"T_43fc3_row2_col11\" class=\"data row2 col11\" >93.17</td>\n",
- " <td id=\"T_43fc3_row2_col12\" class=\"data row2 col12\" >7.14</td>\n",
+ " <th id=\"T_bfc15_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_bfc15_row2_col0\" class=\"data row2 col0\" >7.45</td>\n",
+ " <td id=\"T_bfc15_row2_col1\" class=\"data row2 col1\" >22.58</td>\n",
+ " <td id=\"T_bfc15_row2_col2\" class=\"data row2 col2\" >6.90</td>\n",
+ " <td id=\"T_bfc15_row2_col3\" class=\"data row2 col3\" >0.26</td>\n",
+ " <td id=\"T_bfc15_row2_col4\" class=\"data row2 col4\" >0.12</td>\n",
+ " <td id=\"T_bfc15_row2_col5\" class=\"data row2 col5\" >0.74</td>\n",
+ " <td id=\"T_bfc15_row2_col6\" class=\"data row2 col6\" >28.07</td>\n",
+ " <td id=\"T_bfc15_row2_col7\" class=\"data row2 col7\" >2.07</td>\n",
+ " <td id=\"T_bfc15_row2_col8\" class=\"data row2 col8\" >8.67</td>\n",
+ " <td id=\"T_bfc15_row2_col9\" class=\"data row2 col9\" >169.24</td>\n",
+ " <td id=\"T_bfc15_row2_col10\" class=\"data row2 col10\" >2.16</td>\n",
+ " <td id=\"T_bfc15_row2_col11\" class=\"data row2 col11\" >88.23</td>\n",
+ " <td id=\"T_bfc15_row2_col12\" class=\"data row2 col12\" >7.44</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_43fc3_row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
- " <td id=\"T_43fc3_row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_43fc3_row3_col2\" class=\"data row3 col2\" >0.46</td>\n",
- " <td id=\"T_43fc3_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
- " <td id=\"T_43fc3_row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
- " <td id=\"T_43fc3_row3_col5\" class=\"data row3 col5\" >3.86</td>\n",
- " <td id=\"T_43fc3_row3_col6\" class=\"data row3 col6\" >6.00</td>\n",
- " <td id=\"T_43fc3_row3_col7\" class=\"data row3 col7\" >1.13</td>\n",
- " <td id=\"T_43fc3_row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
- " <td id=\"T_43fc3_row3_col9\" class=\"data row3 col9\" >187.00</td>\n",
- " <td id=\"T_43fc3_row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
- " <td id=\"T_43fc3_row3_col11\" class=\"data row3 col11\" >0.32</td>\n",
- " <td id=\"T_43fc3_row3_col12\" class=\"data row3 col12\" >1.73</td>\n",
+ " <th id=\"T_bfc15_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_bfc15_row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
+ " <td id=\"T_bfc15_row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row3_col2\" class=\"data row3 col2\" >0.46</td>\n",
+ " <td id=\"T_bfc15_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
+ " <td id=\"T_bfc15_row3_col5\" class=\"data row3 col5\" >3.56</td>\n",
+ " <td id=\"T_bfc15_row3_col6\" class=\"data row3 col6\" >2.90</td>\n",
+ " <td id=\"T_bfc15_row3_col7\" class=\"data row3 col7\" >1.13</td>\n",
+ " <td id=\"T_bfc15_row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
+ " <td id=\"T_bfc15_row3_col9\" class=\"data row3 col9\" >187.00</td>\n",
+ " <td id=\"T_bfc15_row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
+ " <td id=\"T_bfc15_row3_col11\" class=\"data row3 col11\" >2.60</td>\n",
+ " <td id=\"T_bfc15_row3_col12\" class=\"data row3 col12\" >2.47</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_43fc3_row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
- " <td id=\"T_43fc3_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_43fc3_row4_col2\" class=\"data row4 col2\" >4.93</td>\n",
- " <td id=\"T_43fc3_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_43fc3_row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
- " <td id=\"T_43fc3_row4_col5\" class=\"data row4 col5\" >5.93</td>\n",
- " <td id=\"T_43fc3_row4_col6\" class=\"data row4 col6\" >45.18</td>\n",
- " <td id=\"T_43fc3_row4_col7\" class=\"data row4 col7\" >2.10</td>\n",
- " <td id=\"T_43fc3_row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
- " <td id=\"T_43fc3_row4_col9\" class=\"data row4 col9\" >277.00</td>\n",
- " <td id=\"T_43fc3_row4_col10\" class=\"data row4 col10\" >17.40</td>\n",
- " <td id=\"T_43fc3_row4_col11\" class=\"data row4 col11\" >375.29</td>\n",
- " <td id=\"T_43fc3_row4_col12\" class=\"data row4 col12\" >6.92</td>\n",
+ " <th id=\"T_bfc15_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_bfc15_row4_col0\" class=\"data row4 col0\" >0.09</td>\n",
+ " <td id=\"T_bfc15_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row4_col2\" class=\"data row4 col2\" >5.40</td>\n",
+ " <td id=\"T_bfc15_row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
+ " <td id=\"T_bfc15_row4_col5\" class=\"data row4 col5\" >5.88</td>\n",
+ " <td id=\"T_bfc15_row4_col6\" class=\"data row4 col6\" >46.83</td>\n",
+ " <td id=\"T_bfc15_row4_col7\" class=\"data row4 col7\" >2.05</td>\n",
+ " <td id=\"T_bfc15_row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
+ " <td id=\"T_bfc15_row4_col9\" class=\"data row4 col9\" >279.50</td>\n",
+ " <td id=\"T_bfc15_row4_col10\" class=\"data row4 col10\" >17.40</td>\n",
+ " <td id=\"T_bfc15_row4_col11\" class=\"data row4 col11\" >374.69</td>\n",
+ " <td id=\"T_bfc15_row4_col12\" class=\"data row4 col12\" >7.18</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_43fc3_row5_col0\" class=\"data row5 col0\" >0.25</td>\n",
- " <td id=\"T_43fc3_row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
- " <td id=\"T_43fc3_row5_col2\" class=\"data row5 col2\" >9.69</td>\n",
- " <td id=\"T_43fc3_row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
- " <td id=\"T_43fc3_row5_col4\" class=\"data row5 col4\" >0.54</td>\n",
- " <td id=\"T_43fc3_row5_col5\" class=\"data row5 col5\" >6.24</td>\n",
- " <td id=\"T_43fc3_row5_col6\" class=\"data row5 col6\" >79.20</td>\n",
- " <td id=\"T_43fc3_row5_col7\" class=\"data row5 col7\" >3.10</td>\n",
- " <td id=\"T_43fc3_row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
- " <td id=\"T_43fc3_row5_col9\" class=\"data row5 col9\" >336.00</td>\n",
- " <td id=\"T_43fc3_row5_col10\" class=\"data row5 col10\" >19.10</td>\n",
- " <td id=\"T_43fc3_row5_col11\" class=\"data row5 col11\" >391.47</td>\n",
- " <td id=\"T_43fc3_row5_col12\" class=\"data row5 col12\" >11.49</td>\n",
+ " <th id=\"T_bfc15_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_bfc15_row5_col0\" class=\"data row5 col0\" >0.26</td>\n",
+ " <td id=\"T_bfc15_row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row5_col2\" class=\"data row5 col2\" >9.90</td>\n",
+ " <td id=\"T_bfc15_row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row5_col4\" class=\"data row5 col4\" >0.54</td>\n",
+ " <td id=\"T_bfc15_row5_col5\" class=\"data row5 col5\" >6.19</td>\n",
+ " <td id=\"T_bfc15_row5_col6\" class=\"data row5 col6\" >79.75</td>\n",
+ " <td id=\"T_bfc15_row5_col7\" class=\"data row5 col7\" >3.10</td>\n",
+ " <td id=\"T_bfc15_row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
+ " <td id=\"T_bfc15_row5_col9\" class=\"data row5 col9\" >341.00</td>\n",
+ " <td id=\"T_bfc15_row5_col10\" class=\"data row5 col10\" >18.90</td>\n",
+ " <td id=\"T_bfc15_row5_col11\" class=\"data row5 col11\" >390.95</td>\n",
+ " <td id=\"T_bfc15_row5_col12\" class=\"data row5 col12\" >11.37</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_43fc3_row6_col0\" class=\"data row6 col0\" >3.82</td>\n",
- " <td id=\"T_43fc3_row6_col1\" class=\"data row6 col1\" >19.50</td>\n",
- " <td id=\"T_43fc3_row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
- " <td id=\"T_43fc3_row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
- " <td id=\"T_43fc3_row6_col4\" class=\"data row6 col4\" >0.63</td>\n",
- " <td id=\"T_43fc3_row6_col5\" class=\"data row6 col5\" >6.63</td>\n",
- " <td id=\"T_43fc3_row6_col6\" class=\"data row6 col6\" >94.10</td>\n",
- " <td id=\"T_43fc3_row6_col7\" class=\"data row6 col7\" >5.12</td>\n",
- " <td id=\"T_43fc3_row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
- " <td id=\"T_43fc3_row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
- " <td id=\"T_43fc3_row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
- " <td id=\"T_43fc3_row6_col11\" class=\"data row6 col11\" >396.29</td>\n",
- " <td id=\"T_43fc3_row6_col12\" class=\"data row6 col12\" >16.57</td>\n",
+ " <th id=\"T_bfc15_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_bfc15_row6_col0\" class=\"data row6 col0\" >3.69</td>\n",
+ " <td id=\"T_bfc15_row6_col1\" class=\"data row6 col1\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
+ " <td id=\"T_bfc15_row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
+ " <td id=\"T_bfc15_row6_col4\" class=\"data row6 col4\" >0.62</td>\n",
+ " <td id=\"T_bfc15_row6_col5\" class=\"data row6 col5\" >6.62</td>\n",
+ " <td id=\"T_bfc15_row6_col6\" class=\"data row6 col6\" >94.47</td>\n",
+ " <td id=\"T_bfc15_row6_col7\" class=\"data row6 col7\" >5.00</td>\n",
+ " <td id=\"T_bfc15_row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
+ " <td id=\"T_bfc15_row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
+ " <td id=\"T_bfc15_row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
+ " <td id=\"T_bfc15_row6_col11\" class=\"data row6 col11\" >396.23</td>\n",
+ " <td id=\"T_bfc15_row6_col12\" class=\"data row6 col12\" >17.10</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_43fc3_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_43fc3_row7_col0\" class=\"data row7 col0\" >88.98</td>\n",
- " <td id=\"T_43fc3_row7_col1\" class=\"data row7 col1\" >100.00</td>\n",
- " <td id=\"T_43fc3_row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
- " <td id=\"T_43fc3_row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
- " <td id=\"T_43fc3_row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
- " <td id=\"T_43fc3_row7_col5\" class=\"data row7 col5\" >8.72</td>\n",
- " <td id=\"T_43fc3_row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
- " <td id=\"T_43fc3_row7_col7\" class=\"data row7 col7\" >12.13</td>\n",
- " <td id=\"T_43fc3_row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
- " <td id=\"T_43fc3_row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
- " <td id=\"T_43fc3_row7_col10\" class=\"data row7 col10\" >22.00</td>\n",
- " <td id=\"T_43fc3_row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
- " <td id=\"T_43fc3_row7_col12\" class=\"data row7 col12\" >37.97</td>\n",
+ " <th id=\"T_bfc15_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_bfc15_row7_col0\" class=\"data row7 col0\" >73.53</td>\n",
+ " <td id=\"T_bfc15_row7_col1\" class=\"data row7 col1\" >100.00</td>\n",
+ " <td id=\"T_bfc15_row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
+ " <td id=\"T_bfc15_row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
+ " <td id=\"T_bfc15_row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
+ " <td id=\"T_bfc15_row7_col5\" class=\"data row7 col5\" >8.70</td>\n",
+ " <td id=\"T_bfc15_row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
+ " <td id=\"T_bfc15_row7_col7\" class=\"data row7 col7\" >12.13</td>\n",
+ " <td id=\"T_bfc15_row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
+ " <td id=\"T_bfc15_row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
+ " <td id=\"T_bfc15_row7_col10\" class=\"data row7 col10\" >22.00</td>\n",
+ " <td id=\"T_bfc15_row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
+ " <td id=\"T_bfc15_row7_col12\" class=\"data row7 col12\" >37.97</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f645c735150>"
+ "<pandas.io.formats.style.Styler at 0x7f4d9c24a910>"
]
},
"metadata": {},
@@ -548,139 +548,139 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_c60d8_\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_dac9a_\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_c60d8_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_c60d8_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_dac9a_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_dac9a_row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_dac9a_row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_c60d8_row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
- " <td id=\"T_c60d8_row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
- " <td id=\"T_c60d8_row1_col2\" class=\"data row1 col2\" >0.00</td>\n",
- " <td id=\"T_c60d8_row1_col3\" class=\"data row1 col3\" >-0.00</td>\n",
- " <td id=\"T_c60d8_row1_col4\" class=\"data row1 col4\" >-0.00</td>\n",
- " <td id=\"T_c60d8_row1_col5\" class=\"data row1 col5\" >-0.00</td>\n",
- " <td id=\"T_c60d8_row1_col6\" class=\"data row1 col6\" >-0.00</td>\n",
- " <td id=\"T_c60d8_row1_col7\" class=\"data row1 col7\" >0.00</td>\n",
- " <td id=\"T_c60d8_row1_col8\" class=\"data row1 col8\" >-0.00</td>\n",
- " <td id=\"T_c60d8_row1_col9\" class=\"data row1 col9\" >0.00</td>\n",
- " <td id=\"T_c60d8_row1_col10\" class=\"data row1 col10\" >-0.00</td>\n",
- " <td id=\"T_c60d8_row1_col11\" class=\"data row1 col11\" >-0.00</td>\n",
- " <td id=\"T_c60d8_row1_col12\" class=\"data row1 col12\" >-0.00</td>\n",
+ " <th id=\"T_dac9a_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_dac9a_row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col1\" class=\"data row1 col1\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col2\" class=\"data row1 col2\" >0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col3\" class=\"data row1 col3\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col4\" class=\"data row1 col4\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col5\" class=\"data row1 col5\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col6\" class=\"data row1 col6\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col7\" class=\"data row1 col7\" >0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col8\" class=\"data row1 col8\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col9\" class=\"data row1 col9\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col10\" class=\"data row1 col10\" >0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col11\" class=\"data row1 col11\" >-0.00</td>\n",
+ " <td id=\"T_dac9a_row1_col12\" class=\"data row1 col12\" >-0.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_c60d8_row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
- " <td id=\"T_c60d8_row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
+ " <th id=\"T_dac9a_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_dac9a_row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
+ " <td id=\"T_dac9a_row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_c60d8_row3_col0\" class=\"data row3 col0\" >-0.42</td>\n",
- " <td id=\"T_c60d8_row3_col1\" class=\"data row3 col1\" >-0.50</td>\n",
- " <td id=\"T_c60d8_row3_col2\" class=\"data row3 col2\" >-1.53</td>\n",
- " <td id=\"T_c60d8_row3_col3\" class=\"data row3 col3\" >-0.25</td>\n",
- " <td id=\"T_c60d8_row3_col4\" class=\"data row3 col4\" >-1.46</td>\n",
- " <td id=\"T_c60d8_row3_col5\" class=\"data row3 col5\" >-3.47</td>\n",
- " <td id=\"T_c60d8_row3_col6\" class=\"data row3 col6\" >-2.28</td>\n",
- " <td id=\"T_c60d8_row3_col7\" class=\"data row3 col7\" >-1.24</td>\n",
- " <td id=\"T_c60d8_row3_col8\" class=\"data row3 col8\" >-0.99</td>\n",
- " <td id=\"T_c60d8_row3_col9\" class=\"data row3 col9\" >-1.32</td>\n",
- " <td id=\"T_c60d8_row3_col10\" class=\"data row3 col10\" >-2.65</td>\n",
- " <td id=\"T_c60d8_row3_col11\" class=\"data row3 col11\" >-3.82</td>\n",
- " <td id=\"T_c60d8_row3_col12\" class=\"data row3 col12\" >-1.52</td>\n",
+ " <th id=\"T_dac9a_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_dac9a_row3_col0\" class=\"data row3 col0\" >-0.46</td>\n",
+ " <td id=\"T_dac9a_row3_col1\" class=\"data row3 col1\" >-0.45</td>\n",
+ " <td id=\"T_dac9a_row3_col2\" class=\"data row3 col2\" >-1.58</td>\n",
+ " <td id=\"T_dac9a_row3_col3\" class=\"data row3 col3\" >-0.28</td>\n",
+ " <td id=\"T_dac9a_row3_col4\" class=\"data row3 col4\" >-1.48</td>\n",
+ " <td id=\"T_dac9a_row3_col5\" class=\"data row3 col5\" >-3.66</td>\n",
+ " <td id=\"T_dac9a_row3_col6\" class=\"data row3 col6\" >-2.38</td>\n",
+ " <td id=\"T_dac9a_row3_col7\" class=\"data row3 col7\" >-1.24</td>\n",
+ " <td id=\"T_dac9a_row3_col8\" class=\"data row3 col8\" >-0.99</td>\n",
+ " <td id=\"T_dac9a_row3_col9\" class=\"data row3 col9\" >-1.32</td>\n",
+ " <td id=\"T_dac9a_row3_col10\" class=\"data row3 col10\" >-2.68</td>\n",
+ " <td id=\"T_dac9a_row3_col11\" class=\"data row3 col11\" >-4.02</td>\n",
+ " <td id=\"T_dac9a_row3_col12\" class=\"data row3 col12\" >-1.39</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_c60d8_row4_col0\" class=\"data row4 col0\" >-0.41</td>\n",
- " <td id=\"T_c60d8_row4_col1\" class=\"data row4 col1\" >-0.50</td>\n",
- " <td id=\"T_c60d8_row4_col2\" class=\"data row4 col2\" >-0.88</td>\n",
- " <td id=\"T_c60d8_row4_col3\" class=\"data row4 col3\" >-0.25</td>\n",
- " <td id=\"T_c60d8_row4_col4\" class=\"data row4 col4\" >-0.88</td>\n",
- " <td id=\"T_c60d8_row4_col5\" class=\"data row4 col5\" >-0.54</td>\n",
- " <td id=\"T_c60d8_row4_col6\" class=\"data row4 col6\" >-0.87</td>\n",
- " <td id=\"T_c60d8_row4_col7\" class=\"data row4 col7\" >-0.78</td>\n",
- " <td id=\"T_c60d8_row4_col8\" class=\"data row4 col8\" >-0.65</td>\n",
- " <td id=\"T_c60d8_row4_col9\" class=\"data row4 col9\" >-0.79</td>\n",
- " <td id=\"T_c60d8_row4_col10\" class=\"data row4 col10\" >-0.48</td>\n",
- " <td id=\"T_c60d8_row4_col11\" class=\"data row4 col11\" >0.21</td>\n",
- " <td id=\"T_c60d8_row4_col12\" class=\"data row4 col12\" >-0.80</td>\n",
+ " <th id=\"T_dac9a_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_dac9a_row4_col0\" class=\"data row4 col0\" >-0.45</td>\n",
+ " <td id=\"T_dac9a_row4_col1\" class=\"data row4 col1\" >-0.45</td>\n",
+ " <td id=\"T_dac9a_row4_col2\" class=\"data row4 col2\" >-0.86</td>\n",
+ " <td id=\"T_dac9a_row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
+ " <td id=\"T_dac9a_row4_col4\" class=\"data row4 col4\" >-0.89</td>\n",
+ " <td id=\"T_dac9a_row4_col5\" class=\"data row4 col5\" >-0.53</td>\n",
+ " <td id=\"T_dac9a_row4_col6\" class=\"data row4 col6\" >-0.81</td>\n",
+ " <td id=\"T_dac9a_row4_col7\" class=\"data row4 col7\" >-0.80</td>\n",
+ " <td id=\"T_dac9a_row4_col8\" class=\"data row4 col8\" >-0.64</td>\n",
+ " <td id=\"T_dac9a_row4_col9\" class=\"data row4 col9\" >-0.77</td>\n",
+ " <td id=\"T_dac9a_row4_col10\" class=\"data row4 col10\" >-0.46</td>\n",
+ " <td id=\"T_dac9a_row4_col11\" class=\"data row4 col11\" >0.19</td>\n",
+ " <td id=\"T_dac9a_row4_col12\" class=\"data row4 col12\" >-0.76</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_c60d8_row5_col0\" class=\"data row5 col0\" >-0.39</td>\n",
- " <td id=\"T_c60d8_row5_col1\" class=\"data row5 col1\" >-0.50</td>\n",
- " <td id=\"T_c60d8_row5_col2\" class=\"data row5 col2\" >-0.20</td>\n",
- " <td id=\"T_c60d8_row5_col3\" class=\"data row5 col3\" >-0.25</td>\n",
- " <td id=\"T_c60d8_row5_col4\" class=\"data row5 col4\" >-0.18</td>\n",
- " <td id=\"T_c60d8_row5_col5\" class=\"data row5 col5\" >-0.10</td>\n",
- " <td id=\"T_c60d8_row5_col6\" class=\"data row5 col6\" >0.35</td>\n",
- " <td id=\"T_c60d8_row5_col7\" class=\"data row5 col7\" >-0.32</td>\n",
- " <td id=\"T_c60d8_row5_col8\" class=\"data row5 col8\" >-0.53</td>\n",
- " <td id=\"T_c60d8_row5_col9\" class=\"data row5 col9\" >-0.44</td>\n",
- " <td id=\"T_c60d8_row5_col10\" class=\"data row5 col10\" >0.28</td>\n",
- " <td id=\"T_c60d8_row5_col11\" class=\"data row5 col11\" >0.38</td>\n",
- " <td id=\"T_c60d8_row5_col12\" class=\"data row5 col12\" >-0.16</td>\n",
+ " <th id=\"T_dac9a_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_dac9a_row5_col0\" class=\"data row5 col0\" >-0.43</td>\n",
+ " <td id=\"T_dac9a_row5_col1\" class=\"data row5 col1\" >-0.45</td>\n",
+ " <td id=\"T_dac9a_row5_col2\" class=\"data row5 col2\" >-0.21</td>\n",
+ " <td id=\"T_dac9a_row5_col3\" class=\"data row5 col3\" >-0.28</td>\n",
+ " <td id=\"T_dac9a_row5_col4\" class=\"data row5 col4\" >-0.16</td>\n",
+ " <td id=\"T_dac9a_row5_col5\" class=\"data row5 col5\" >-0.11</td>\n",
+ " <td id=\"T_dac9a_row5_col6\" class=\"data row5 col6\" >0.36</td>\n",
+ " <td id=\"T_dac9a_row5_col7\" class=\"data row5 col7\" >-0.29</td>\n",
+ " <td id=\"T_dac9a_row5_col8\" class=\"data row5 col8\" >-0.53</td>\n",
+ " <td id=\"T_dac9a_row5_col9\" class=\"data row5 col9\" >-0.41</td>\n",
+ " <td id=\"T_dac9a_row5_col10\" class=\"data row5 col10\" >0.23</td>\n",
+ " <td id=\"T_dac9a_row5_col11\" class=\"data row5 col11\" >0.38</td>\n",
+ " <td id=\"T_dac9a_row5_col12\" class=\"data row5 col12\" >-0.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_c60d8_row6_col0\" class=\"data row6 col0\" >0.02</td>\n",
- " <td id=\"T_c60d8_row6_col1\" class=\"data row6 col1\" >0.29</td>\n",
- " <td id=\"T_c60d8_row6_col2\" class=\"data row6 col2\" >1.02</td>\n",
- " <td id=\"T_c60d8_row6_col3\" class=\"data row6 col3\" >-0.25</td>\n",
- " <td id=\"T_c60d8_row6_col4\" class=\"data row6 col4\" >0.65</td>\n",
- " <td id=\"T_c60d8_row6_col5\" class=\"data row6 col5\" >0.44</td>\n",
- " <td id=\"T_c60d8_row6_col6\" class=\"data row6 col6\" >0.89</td>\n",
- " <td id=\"T_c60d8_row6_col7\" class=\"data row6 col7\" >0.63</td>\n",
- " <td id=\"T_c60d8_row6_col8\" class=\"data row6 col8\" >1.62</td>\n",
- " <td id=\"T_c60d8_row6_col9\" class=\"data row6 col9\" >1.52</td>\n",
- " <td id=\"T_c60d8_row6_col10\" class=\"data row6 col10\" >0.78</td>\n",
- " <td id=\"T_c60d8_row6_col11\" class=\"data row6 col11\" >0.43</td>\n",
- " <td id=\"T_c60d8_row6_col12\" class=\"data row6 col12\" >0.55</td>\n",
+ " <th id=\"T_dac9a_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_dac9a_row6_col0\" class=\"data row6 col0\" >0.03</td>\n",
+ " <td id=\"T_dac9a_row6_col1\" class=\"data row6 col1\" >-0.45</td>\n",
+ " <td id=\"T_dac9a_row6_col2\" class=\"data row6 col2\" >0.98</td>\n",
+ " <td id=\"T_dac9a_row6_col3\" class=\"data row6 col3\" >-0.28</td>\n",
+ " <td id=\"T_dac9a_row6_col4\" class=\"data row6 col4\" >0.59</td>\n",
+ " <td id=\"T_dac9a_row6_col5\" class=\"data row6 col5\" >0.47</td>\n",
+ " <td id=\"T_dac9a_row6_col6\" class=\"data row6 col6\" >0.88</td>\n",
+ " <td id=\"T_dac9a_row6_col7\" class=\"data row6 col7\" >0.63</td>\n",
+ " <td id=\"T_dac9a_row6_col8\" class=\"data row6 col8\" >1.66</td>\n",
+ " <td id=\"T_dac9a_row6_col9\" class=\"data row6 col9\" >1.51</td>\n",
+ " <td id=\"T_dac9a_row6_col10\" class=\"data row6 col10\" >0.83</td>\n",
+ " <td id=\"T_dac9a_row6_col11\" class=\"data row6 col11\" >0.44</td>\n",
+ " <td id=\"T_dac9a_row6_col12\" class=\"data row6 col12\" >0.58</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c60d8_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_c60d8_row7_col0\" class=\"data row7 col0\" >9.96</td>\n",
- " <td id=\"T_c60d8_row7_col1\" class=\"data row7 col1\" >3.55</td>\n",
- " <td id=\"T_c60d8_row7_col2\" class=\"data row7 col2\" >2.42</td>\n",
- " <td id=\"T_c60d8_row7_col3\" class=\"data row7 col3\" >3.98</td>\n",
- " <td id=\"T_c60d8_row7_col4\" class=\"data row7 col4\" >2.71</td>\n",
- " <td id=\"T_c60d8_row7_col5\" class=\"data row7 col5\" >3.40</td>\n",
- " <td id=\"T_c60d8_row7_col6\" class=\"data row7 col6\" >1.10</td>\n",
- " <td id=\"T_c60d8_row7_col7\" class=\"data row7 col7\" >3.90</td>\n",
- " <td id=\"T_c60d8_row7_col8\" class=\"data row7 col8\" >1.62</td>\n",
- " <td id=\"T_c60d8_row7_col9\" class=\"data row7 col9\" >1.78</td>\n",
- " <td id=\"T_c60d8_row7_col10\" class=\"data row7 col10\" >1.59</td>\n",
- " <td id=\"T_c60d8_row7_col11\" class=\"data row7 col11\" >0.44</td>\n",
- " <td id=\"T_c60d8_row7_col12\" class=\"data row7 col12\" >3.55</td>\n",
+ " <th id=\"T_dac9a_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_dac9a_row7_col0\" class=\"data row7 col0\" >9.41</td>\n",
+ " <td id=\"T_dac9a_row7_col1\" class=\"data row7 col1\" >3.98</td>\n",
+ " <td id=\"T_dac9a_row7_col2\" class=\"data row7 col2\" >2.38</td>\n",
+ " <td id=\"T_dac9a_row7_col3\" class=\"data row7 col3\" >3.62</td>\n",
+ " <td id=\"T_dac9a_row7_col4\" class=\"data row7 col4\" >2.73</td>\n",
+ " <td id=\"T_dac9a_row7_col5\" class=\"data row7 col5\" >3.27</td>\n",
+ " <td id=\"T_dac9a_row7_col6\" class=\"data row7 col6\" >1.08</td>\n",
+ " <td id=\"T_dac9a_row7_col7\" class=\"data row7 col7\" >4.06</td>\n",
+ " <td id=\"T_dac9a_row7_col8\" class=\"data row7 col8\" >1.66</td>\n",
+ " <td id=\"T_dac9a_row7_col9\" class=\"data row7 col9\" >1.78</td>\n",
+ " <td id=\"T_dac9a_row7_col10\" class=\"data row7 col10\" >1.66</td>\n",
+ " <td id=\"T_dac9a_row7_col11\" class=\"data row7 col11\" >0.45</td>\n",
+ " <td id=\"T_dac9a_row7_col12\" class=\"data row7 col12\" >3.38</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f63ac27aad0>"
+ "<pandas.io.formats.style.Styler at 0x7f4d1e0a5a30>"
]
},
"metadata": {},
@@ -718,10 +718,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.864460Z",
- "iopub.status.busy": "2021-01-14T07:11:30.864135Z",
- "iopub.status.idle": "2021-01-14T07:11:30.866230Z",
- "shell.execute_reply": "2021-01-14T07:11:30.865900Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.349877Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.349543Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.352076Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.351752Z"
}
},
"outputs": [],
@@ -753,10 +753,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.869131Z",
- "iopub.status.busy": "2021-01-14T07:11:30.868788Z",
- "iopub.status.idle": "2021-01-14T07:11:30.908515Z",
- "shell.execute_reply": "2021-01-14T07:11:30.908171Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.354968Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.354652Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.398164Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.397822Z"
}
},
"outputs": [
@@ -801,10 +801,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.912234Z",
- "iopub.status.busy": "2021-01-14T07:11:30.911911Z",
- "iopub.status.idle": "2021-01-14T07:11:30.914352Z",
- "shell.execute_reply": "2021-01-14T07:11:30.913990Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.401637Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.401175Z",
+ "iopub.status.idle": "2021-01-26T10:05:48.404663Z",
+ "shell.execute_reply": "2021-01-26T10:05:48.404959Z"
}
},
"outputs": [],
@@ -827,10 +827,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:30.920720Z",
- "iopub.status.busy": "2021-01-14T07:11:30.918911Z",
- "iopub.status.idle": "2021-01-14T07:11:38.814802Z",
- "shell.execute_reply": "2021-01-14T07:11:38.814494Z"
+ "iopub.execute_input": "2021-01-26T10:05:48.408744Z",
+ "iopub.status.busy": "2021-01-26T10:05:48.408202Z",
+ "iopub.status.idle": "2021-01-26T10:05:56.589986Z",
+ "shell.execute_reply": "2021-01-26T10:05:56.589557Z"
}
},
"outputs": [
@@ -846,7 +846,7 @@
"output_type": "stream",
"text": [
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 389.7831 - mae: 18.9112 - mse: 389.7831"
+ " 1/36 [..............................] - ETA: 0s - loss: 708.0176 - mae: 24.3400 - mse: 708.0176"
]
},
{
@@ -854,7 +854,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 5ms/step - loss: 479.8606 - mae: 19.7624 - mse: 479.8606 - val_loss: 313.9207 - val_mae: 15.7939 - val_mse: 313.9207\n"
+ "36/36 [==============================] - 0s 5ms/step - loss: 537.8375 - mae: 21.1899 - mse: 537.8375 - val_loss: 373.7509 - val_mae: 17.5308 - val_mse: 373.7509\n"
]
},
{
@@ -863,7 +863,7 @@
"text": [
"Epoch 2/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 433.2456 - mae: 17.4410 - mse: 433.2456"
+ " 1/36 [..............................] - ETA: 0s - loss: 269.8658 - mae: 14.8471 - mse: 269.8658"
]
},
{
@@ -871,7 +871,15 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 251.0171 - mae: 13.3376 - mse: 251.0171 - val_loss: 115.0622 - val_mae: 8.7007 - val_mse: 115.0622\n"
+ "35/36 [============================>.] - ETA: 0s - loss: 325.2315 - mae: 15.8201 - mse: 325.2315"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 3ms/step - loss: 323.1867 - mae: 15.7530 - mse: 323.1867 - val_loss: 161.4590 - val_mae: 10.7108 - val_mse: 161.4590\n"
]
},
{
@@ -880,15 +888,15 @@
"text": [
"Epoch 3/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 74.5882 - mae: 7.4639 - mse: 74.5882"
+ " 1/36 [..............................] - ETA: 0s - loss: 132.0110 - mae: 10.8902 - mse: 132.0110"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 97.0846 - mae: 7.5000 - mse: 97.0846 - val_loss: 48.7695 - val_mae: 5.3898 - val_mse: 48.7695\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 3ms/step - loss: 129.6813 - mae: 9.0556 - mse: 129.6813 - val_loss: 64.5468 - val_mae: 5.9488 - val_mse: 64.5468\n"
]
},
{
@@ -897,15 +905,15 @@
"text": [
"Epoch 4/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 155.7348 - mae: 9.1847 - mse: 155.7348"
+ " 1/36 [..............................] - ETA: 0s - loss: 76.5010 - mae: 6.5137 - mse: 76.5010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 54.7528 - mae: 5.4036 - mse: 54.7528 - val_loss: 29.9846 - val_mae: 4.1754 - val_mse: 29.9846\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 56.4422 - mae: 5.5710 - mse: 56.4422 - val_loss: 38.6993 - val_mae: 4.3918 - val_mse: 38.6993\n"
]
},
{
@@ -914,7 +922,7 @@
"text": [
"Epoch 5/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 40.2903 - mae: 5.0659 - mse: 40.2903"
+ " 1/36 [..............................] - ETA: 0s - loss: 34.8021 - mae: 4.4828 - mse: 34.8021"
]
},
{
@@ -922,7 +930,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 35.3013 - mae: 4.2298 - mse: 35.3013 - val_loss: 21.5246 - val_mae: 3.5020 - val_mse: 21.5246\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 34.0519 - mae: 4.1611 - mse: 34.0519 - val_loss: 29.9662 - val_mae: 4.0534 - val_mse: 29.9662\n"
]
},
{
@@ -931,7 +939,7 @@
"text": [
"Epoch 6/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 20.8753 - mae: 3.7356 - mse: 20.8753"
+ " 1/36 [..............................] - ETA: 0s - loss: 26.2483 - mae: 3.7735 - mse: 26.2483"
]
},
{
@@ -939,7 +947,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 26.6657 - mae: 3.6815 - mse: 26.6657 - val_loss: 18.1473 - val_mae: 3.1323 - val_mse: 18.1473\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 25.4978 - mae: 3.5710 - mse: 25.4978 - val_loss: 23.2387 - val_mae: 3.4750 - val_mse: 23.2387\n"
]
},
{
@@ -948,15 +956,15 @@
"text": [
"Epoch 7/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.2121 - mae: 2.0190 - mse: 5.2121"
+ " 1/36 [..............................] - ETA: 0s - loss: 19.2170 - mae: 3.6746 - mse: 19.2170"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 22.8042 - mae: 3.3342 - mse: 22.8042 - val_loss: 16.4765 - val_mae: 2.9579 - val_mse: 16.4765\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 22.5723 - mae: 3.3525 - mse: 22.5723 - val_loss: 21.1290 - val_mae: 3.3247 - val_mse: 21.1290\n"
]
},
{
@@ -965,15 +973,15 @@
"text": [
"Epoch 8/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.9479 - mae: 2.4739 - mse: 8.9479"
+ " 1/36 [..............................] - ETA: 0s - loss: 14.4488 - mae: 3.0017 - mse: 14.4488"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 19.7496 - mae: 3.1010 - mse: 19.7496 - val_loss: 15.8385 - val_mae: 2.8592 - val_mse: 15.8385\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 19.9518 - mae: 3.1183 - mse: 19.9518 - val_loss: 19.1225 - val_mae: 3.1075 - val_mse: 19.1225\n"
]
},
{
@@ -982,15 +990,15 @@
"text": [
"Epoch 9/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.2032 - mae: 2.8548 - mse: 9.2032"
+ " 1/36 [..............................] - ETA: 0s - loss: 29.2202 - mae: 3.3824 - mse: 29.2202"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 17.5905 - mae: 2.9337 - mse: 17.5905 - val_loss: 16.9321 - val_mae: 2.9213 - val_mse: 16.9321\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 18.6989 - mae: 2.9931 - mse: 18.6989 - val_loss: 23.7809 - val_mae: 3.7447 - val_mse: 23.7809\n"
]
},
{
@@ -999,7 +1007,7 @@
"text": [
"Epoch 10/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 18.1565 - mae: 3.8637 - mse: 18.1565"
+ " 1/36 [..............................] - ETA: 0s - loss: 26.4030 - mae: 4.1290 - mse: 26.4030"
]
},
{
@@ -1007,7 +1015,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 16.4101 - mae: 2.8449 - mse: 16.4101 - val_loss: 15.1185 - val_mae: 2.7206 - val_mse: 15.1185\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 17.2675 - mae: 2.9215 - mse: 17.2675 - val_loss: 22.3175 - val_mae: 3.5323 - val_mse: 22.3175\n"
]
},
{
@@ -1016,15 +1024,15 @@
"text": [
"Epoch 11/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.8267 - mae: 1.9830 - mse: 5.8267"
+ " 1/36 [..............................] - ETA: 0s - loss: 11.9258 - mae: 2.9241 - mse: 11.9258"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 15.2091 - mae: 2.7126 - mse: 15.2091 - val_loss: 14.4734 - val_mae: 2.5941 - val_mse: 14.4734\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 16.3747 - mae: 2.8595 - mse: 16.3747 - val_loss: 18.8370 - val_mae: 3.1147 - val_mse: 18.8370\n"
]
},
{
@@ -1033,15 +1041,15 @@
"text": [
"Epoch 12/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.2744 - mae: 2.2298 - mse: 6.2744"
+ " 1/36 [..............................] - ETA: 0s - loss: 14.7442 - mae: 3.1106 - mse: 14.7442"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 14.4579 - mae: 2.6564 - mse: 14.4579 - val_loss: 14.6208 - val_mae: 2.5923 - val_mse: 14.6208\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 15.6845 - mae: 2.8114 - mse: 15.6845 - val_loss: 16.7581 - val_mae: 2.8857 - val_mse: 16.7582\n"
]
},
{
@@ -1050,7 +1058,7 @@
"text": [
"Epoch 13/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.3490 - mae: 1.9336 - mse: 7.3490"
+ " 1/36 [..............................] - ETA: 0s - loss: 8.6752 - mae: 2.4503 - mse: 8.6752"
]
},
{
@@ -1058,7 +1066,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 13.7957 - mae: 2.6243 - mse: 13.7957 - val_loss: 14.1156 - val_mae: 2.5347 - val_mse: 14.1156\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 14.7012 - mae: 2.6734 - mse: 14.7012 - val_loss: 17.7870 - val_mae: 3.0411 - val_mse: 17.7870\n"
]
},
{
@@ -1067,7 +1075,7 @@
"text": [
"Epoch 14/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.1917 - mae: 2.2493 - mse: 7.1917"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.8471 - mae: 2.1432 - mse: 6.8471"
]
},
{
@@ -1075,7 +1083,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 12.9634 - mae: 2.5102 - mse: 12.9634 - val_loss: 14.7697 - val_mae: 2.6119 - val_mse: 14.7697\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 14.0171 - mae: 2.6189 - mse: 14.0171 - val_loss: 17.4585 - val_mae: 2.9508 - val_mse: 17.4585\n"
]
},
{
@@ -1084,15 +1092,15 @@
"text": [
"Epoch 15/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.7120 - mae: 2.1875 - mse: 7.7120"
+ " 1/36 [..............................] - ETA: 0s - loss: 18.3990 - mae: 3.2548 - mse: 18.3990"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 12.4422 - mae: 2.4581 - mse: 12.4422 - val_loss: 14.6517 - val_mae: 2.5601 - val_mse: 14.6517\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 13.2649 - mae: 2.5988 - mse: 13.2649 - val_loss: 16.0616 - val_mae: 2.8575 - val_mse: 16.0616\n"
]
},
{
@@ -1101,15 +1109,15 @@
"text": [
"Epoch 16/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 10.8231 - mae: 2.9008 - mse: 10.8231"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.6929 - mae: 1.7750 - mse: 5.6929"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 12.2225 - mae: 2.4426 - mse: 12.2225 - val_loss: 14.7885 - val_mae: 2.5623 - val_mse: 14.7885\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 12.9320 - mae: 2.5225 - mse: 12.9320 - val_loss: 15.2806 - val_mae: 2.6972 - val_mse: 15.2806\n"
]
},
{
@@ -1118,7 +1126,7 @@
"text": [
"Epoch 17/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 27.0570 - mae: 3.0176 - mse: 27.0570"
+ " 1/36 [..............................] - ETA: 0s - loss: 11.8435 - mae: 2.7357 - mse: 11.8435"
]
},
{
@@ -1126,7 +1134,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 11.8573 - mae: 2.3869 - mse: 11.8573 - val_loss: 14.4856 - val_mae: 2.4999 - val_mse: 14.4856\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 12.3233 - mae: 2.4755 - mse: 12.3233 - val_loss: 15.7543 - val_mae: 2.7013 - val_mse: 15.7543\n"
]
},
{
@@ -1135,7 +1143,7 @@
"text": [
"Epoch 18/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.2214 - mae: 1.5709 - mse: 3.2214"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.8158 - mae: 1.5768 - mse: 3.8158"
]
},
{
@@ -1143,7 +1151,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 11.2766 - mae: 2.3107 - mse: 11.2766 - val_loss: 16.2192 - val_mae: 2.6771 - val_mse: 16.2192\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 12.0028 - mae: 2.4630 - mse: 12.0028 - val_loss: 14.1175 - val_mae: 2.4970 - val_mse: 14.1175\n"
]
},
{
@@ -1152,7 +1160,7 @@
"text": [
"Epoch 19/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 53.4781 - mae: 4.6768 - mse: 53.4781"
+ " 1/36 [..............................] - ETA: 0s - loss: 11.1040 - mae: 2.4605 - mse: 11.1040"
]
},
{
@@ -1160,7 +1168,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.8904 - mae: 2.3221 - mse: 10.8904 - val_loss: 14.7529 - val_mae: 2.5405 - val_mse: 14.7529\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 11.6505 - mae: 2.3958 - mse: 11.6505 - val_loss: 15.4025 - val_mae: 2.6425 - val_mse: 15.4025\n"
]
},
{
@@ -1169,15 +1177,15 @@
"text": [
"Epoch 20/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.6295 - mae: 2.1028 - mse: 5.6295"
+ " 1/36 [..............................] - ETA: 0s - loss: 12.5761 - mae: 2.7012 - mse: 12.5761"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.7788 - mae: 2.2706 - mse: 10.7788 - val_loss: 14.5959 - val_mae: 2.4926 - val_mse: 14.5959\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 11.3816 - mae: 2.4297 - mse: 11.3816 - val_loss: 14.3772 - val_mae: 2.5576 - val_mse: 14.3772\n"
]
},
{
@@ -1186,15 +1194,15 @@
"text": [
"Epoch 21/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 11.0794 - mae: 2.7306 - mse: 11.0794"
+ " 1/36 [..............................] - ETA: 0s - loss: 9.1389 - mae: 2.3340 - mse: 9.1389"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.4161 - mae: 2.2696 - mse: 10.4161 - val_loss: 14.7912 - val_mae: 2.5766 - val_mse: 14.7912\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 11.1557 - mae: 2.3311 - mse: 11.1557 - val_loss: 15.2316 - val_mae: 2.6228 - val_mse: 15.2316\n"
]
},
{
@@ -1203,7 +1211,7 @@
"text": [
"Epoch 22/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.3141 - mae: 2.6085 - mse: 9.3141"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.5503 - mae: 2.2118 - mse: 7.5503"
]
},
{
@@ -1211,7 +1219,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.3055 - mae: 2.2356 - mse: 10.3055 - val_loss: 14.8611 - val_mae: 2.5488 - val_mse: 14.8611\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 10.7700 - mae: 2.2843 - mse: 10.7700 - val_loss: 14.0376 - val_mae: 2.4623 - val_mse: 14.0376\n"
]
},
{
@@ -1220,7 +1228,7 @@
"text": [
"Epoch 23/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.9928 - mae: 1.6222 - mse: 3.9928"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.5638 - mae: 1.7387 - mse: 5.5638"
]
},
{
@@ -1228,7 +1236,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.2244 - mae: 2.2373 - mse: 10.2244 - val_loss: 14.9809 - val_mae: 2.5411 - val_mse: 14.9809\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 10.6140 - mae: 2.2883 - mse: 10.6140 - val_loss: 14.1849 - val_mae: 2.4967 - val_mse: 14.1849\n"
]
},
{
@@ -1237,15 +1245,15 @@
"text": [
"Epoch 24/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 18.7919 - mae: 3.8043 - mse: 18.7919"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.6123 - mae: 1.6717 - mse: 4.6123"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 10.2347 - mae: 2.1896 - mse: 10.2347 - val_loss: 14.1357 - val_mae: 2.4829 - val_mse: 14.1357\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 10.3315 - mae: 2.2589 - mse: 10.3315 - val_loss: 15.7215 - val_mae: 2.7212 - val_mse: 15.7215\n"
]
},
{
@@ -1254,7 +1262,7 @@
"text": [
"Epoch 25/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.7434 - mae: 2.4112 - mse: 9.7434"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.8510 - mae: 2.1248 - mse: 5.8510"
]
},
{
@@ -1262,7 +1270,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.9127 - mae: 2.2199 - mse: 9.9127 - val_loss: 14.9639 - val_mae: 2.5534 - val_mse: 14.9639\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 10.0249 - mae: 2.2700 - mse: 10.0249 - val_loss: 13.7876 - val_mae: 2.4689 - val_mse: 13.7876\n"
]
},
{
@@ -1271,7 +1279,7 @@
"text": [
"Epoch 26/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.2105 - mae: 1.5460 - mse: 4.2105"
+ " 1/36 [..............................] - ETA: 0s - loss: 8.4378 - mae: 2.4217 - mse: 8.4378"
]
},
{
@@ -1279,7 +1287,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.7643 - mae: 2.1699 - mse: 9.7643 - val_loss: 15.1165 - val_mae: 2.6070 - val_mse: 15.1165\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.7874 - mae: 2.1681 - mse: 9.7874 - val_loss: 13.8153 - val_mae: 2.4259 - val_mse: 13.8153\n"
]
},
{
@@ -1288,15 +1296,15 @@
"text": [
"Epoch 27/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 13.3942 - mae: 2.9616 - mse: 13.3942"
+ " 1/36 [..............................] - ETA: 0s - loss: 8.0397 - mae: 2.4659 - mse: 8.0397"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.7912 - mae: 2.1629 - mse: 9.7912 - val_loss: 14.3873 - val_mae: 2.4969 - val_mse: 14.3873\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.7266 - mae: 2.1502 - mse: 9.7266 - val_loss: 15.9117 - val_mae: 2.6289 - val_mse: 15.9117\n"
]
},
{
@@ -1305,15 +1313,15 @@
"text": [
"Epoch 28/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.3006 - mae: 1.8108 - mse: 5.3006"
+ " 1/36 [..............................] - ETA: 0s - loss: 12.9662 - mae: 2.2371 - mse: 12.9662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.3235 - mae: 2.0974 - mse: 9.3235 - val_loss: 14.1615 - val_mae: 2.4547 - val_mse: 14.1615\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.6765 - mae: 2.1631 - mse: 9.6765 - val_loss: 14.5592 - val_mae: 2.5298 - val_mse: 14.5592\n"
]
},
{
@@ -1322,7 +1330,7 @@
"text": [
"Epoch 29/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.5976 - mae: 2.0674 - mse: 6.5976"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.1695 - mae: 1.5506 - mse: 4.1695"
]
},
{
@@ -1330,7 +1338,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.3655 - mae: 2.1701 - mse: 9.3655 - val_loss: 13.7438 - val_mae: 2.4387 - val_mse: 13.7438\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.5888 - mae: 2.1587 - mse: 9.5888 - val_loss: 13.8666 - val_mae: 2.4234 - val_mse: 13.8666\n"
]
},
{
@@ -1339,7 +1347,7 @@
"text": [
"Epoch 30/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.5997 - mae: 2.5383 - mse: 9.5997"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.6638 - mae: 2.1498 - mse: 6.6638"
]
},
{
@@ -1347,7 +1355,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 9.2931 - mae: 2.1114 - mse: 9.2931 - val_loss: 14.9816 - val_mae: 2.4900 - val_mse: 14.9816\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.4498 - mae: 2.1108 - mse: 9.4498 - val_loss: 15.0172 - val_mae: 2.5108 - val_mse: 15.0172\n"
]
},
{
@@ -1356,7 +1364,7 @@
"text": [
"Epoch 31/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.8495 - mae: 1.8740 - mse: 6.8495"
+ " 1/36 [..............................] - ETA: 0s - loss: 1.5878 - mae: 1.0485 - mse: 1.5878"
]
},
{
@@ -1364,30 +1372,24 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 3ms/step - loss: 9.2603 - mae: 2.1166 - mse: 9.2603 - val_loss: 14.0484 - val_mae: 2.4778 - val_mse: 14.0484\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 32/100\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.3464 - mae: 2.1395 - mse: 9.3464 - val_loss: 14.1054 - val_mae: 2.4342 - val_mse: 14.1054\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Epoch 32/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.3201 - mae: 1.8011 - mse: 5.3201"
+ " 1/36 [..............................] - ETA: 0s - loss: 16.7570 - mae: 3.0722 - mse: 16.7570"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.9376 - mae: 2.0842 - mse: 8.9376 - val_loss: 14.9942 - val_mae: 2.5042 - val_mse: 14.9942\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.0926 - mae: 2.0997 - mse: 9.0926 - val_loss: 13.2308 - val_mae: 2.3516 - val_mse: 13.2308\n"
]
},
{
@@ -1396,7 +1398,7 @@
"text": [
"Epoch 33/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.2969 - mae: 2.1881 - mse: 8.2969"
+ " 1/36 [..............................] - ETA: 0s - loss: 0.3957 - mae: 0.5253 - mse: 0.3957"
]
},
{
@@ -1404,7 +1406,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.9194 - mae: 2.1055 - mse: 8.9194 - val_loss: 14.8121 - val_mae: 2.5208 - val_mse: 14.8121\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 9.1485 - mae: 2.0656 - mse: 9.1485 - val_loss: 14.0265 - val_mae: 2.4953 - val_mse: 14.0265\n"
]
},
{
@@ -1413,7 +1415,7 @@
"text": [
"Epoch 34/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.3883 - mae: 1.6524 - mse: 5.3883"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.7144 - mae: 1.3836 - mse: 2.7144"
]
},
{
@@ -1421,7 +1423,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.8447 - mae: 2.0719 - mse: 8.8447 - val_loss: 14.3170 - val_mae: 2.4864 - val_mse: 14.3170\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.9538 - mae: 2.0819 - mse: 8.9538 - val_loss: 14.0589 - val_mae: 2.4220 - val_mse: 14.0589\n"
]
},
{
@@ -1430,15 +1432,15 @@
"text": [
"Epoch 35/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 43.8930 - mae: 3.2587 - mse: 43.8930"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.0216 - mae: 1.6289 - mse: 4.0216"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.6136 - mae: 2.0538 - mse: 8.6136 - val_loss: 14.6798 - val_mae: 2.4802 - val_mse: 14.6798\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.6741 - mae: 2.0562 - mse: 8.6741 - val_loss: 13.0050 - val_mae: 2.4048 - val_mse: 13.0050\n"
]
},
{
@@ -1447,7 +1449,7 @@
"text": [
"Epoch 36/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.5058 - mae: 1.1864 - mse: 2.5058"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.7254 - mae: 2.3590 - mse: 7.7254"
]
},
{
@@ -1455,7 +1457,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.7849 - mae: 2.0455 - mse: 8.7849 - val_loss: 13.8648 - val_mae: 2.4560 - val_mse: 13.8648\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.7212 - mae: 2.0627 - mse: 8.7212 - val_loss: 13.2011 - val_mae: 2.3565 - val_mse: 13.2011\n"
]
},
{
@@ -1464,15 +1466,15 @@
"text": [
"Epoch 37/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.9070 - mae: 2.1361 - mse: 7.9070"
+ " 1/36 [..............................] - ETA: 0s - loss: 11.8881 - mae: 2.6282 - mse: 11.8881"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.6908 - mae: 2.0650 - mse: 8.6908 - val_loss: 14.2627 - val_mae: 2.4784 - val_mse: 14.2627\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.5431 - mae: 2.0591 - mse: 8.5431 - val_loss: 13.8942 - val_mae: 2.3905 - val_mse: 13.8942\n"
]
},
{
@@ -1481,7 +1483,7 @@
"text": [
"Epoch 38/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.9295 - mae: 2.1939 - mse: 6.9295"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.5369 - mae: 1.3958 - mse: 2.5369"
]
},
{
@@ -1489,7 +1491,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.3519 - mae: 2.0229 - mse: 8.3519 - val_loss: 14.1649 - val_mae: 2.4617 - val_mse: 14.1649\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.3042 - mae: 2.0118 - mse: 8.3042 - val_loss: 14.1813 - val_mae: 2.5156 - val_mse: 14.1813\n"
]
},
{
@@ -1498,7 +1500,7 @@
"text": [
"Epoch 39/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.1359 - mae: 1.4777 - mse: 3.1359"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.6958 - mae: 1.5786 - mse: 3.6958"
]
},
{
@@ -1506,7 +1508,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.3464 - mae: 2.0540 - mse: 8.3464 - val_loss: 13.2801 - val_mae: 2.4016 - val_mse: 13.2801\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.4004 - mae: 2.0197 - mse: 8.4004 - val_loss: 14.0777 - val_mae: 2.4052 - val_mse: 14.0777\n"
]
},
{
@@ -1515,7 +1517,7 @@
"text": [
"Epoch 40/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0241 - mae: 1.5442 - mse: 4.0241"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.4145 - mae: 1.4783 - mse: 3.4145"
]
},
{
@@ -1523,7 +1525,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.1010 - mae: 1.9930 - mse: 8.1010 - val_loss: 13.5650 - val_mae: 2.4058 - val_mse: 13.5650\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.2772 - mae: 2.0141 - mse: 8.2772 - val_loss: 13.6871 - val_mae: 2.5101 - val_mse: 13.6871\n"
]
},
{
@@ -1532,15 +1534,15 @@
"text": [
"Epoch 41/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 11.5849 - mae: 2.2403 - mse: 11.5849"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.8318 - mae: 2.1699 - mse: 6.8318"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.0642 - mae: 1.9751 - mse: 8.0642 - val_loss: 15.4452 - val_mae: 2.5221 - val_mse: 15.4452\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.2636 - mae: 1.9741 - mse: 8.2636 - val_loss: 13.6589 - val_mae: 2.4498 - val_mse: 13.6589\n"
]
},
{
@@ -1549,7 +1551,7 @@
"text": [
"Epoch 42/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.4993 - mae: 2.3373 - mse: 7.4993"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.9865 - mae: 1.8356 - mse: 4.9865"
]
},
{
@@ -1557,7 +1559,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.0004 - mae: 1.9871 - mse: 8.0004 - val_loss: 13.8006 - val_mae: 2.4717 - val_mse: 13.8006\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.0805 - mae: 1.9924 - mse: 8.0805 - val_loss: 13.6880 - val_mae: 2.4351 - val_mse: 13.6880\n"
]
},
{
@@ -1566,7 +1568,7 @@
"text": [
"Epoch 43/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.1996 - mae: 1.9518 - mse: 9.1996"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.9380 - mae: 2.2673 - mse: 6.9380"
]
},
{
@@ -1574,7 +1576,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 8.0023 - mae: 1.9510 - mse: 8.0023 - val_loss: 13.7937 - val_mae: 2.4129 - val_mse: 13.7937\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 8.1778 - mae: 2.0097 - mse: 8.1778 - val_loss: 13.9274 - val_mae: 2.5414 - val_mse: 13.9274\n"
]
},
{
@@ -1583,15 +1585,15 @@
"text": [
"Epoch 44/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 12.7615 - mae: 2.7751 - mse: 12.7615"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.6202 - mae: 2.0598 - mse: 7.6202"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.8025 - mae: 1.9665 - mse: 7.8025 - val_loss: 14.2702 - val_mae: 2.5141 - val_mse: 14.2702\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.8929 - mae: 1.9596 - mse: 7.8929 - val_loss: 12.5873 - val_mae: 2.3543 - val_mse: 12.5873\n"
]
},
{
@@ -1600,7 +1602,7 @@
"text": [
"Epoch 45/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.2198 - mae: 2.2451 - mse: 9.2198"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.3809 - mae: 2.0346 - mse: 5.3809"
]
},
{
@@ -1608,7 +1610,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.7570 - mae: 1.9942 - mse: 7.7570 - val_loss: 13.6718 - val_mae: 2.4283 - val_mse: 13.6718\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.9471 - mae: 1.9448 - mse: 7.9471 - val_loss: 13.1158 - val_mae: 2.3705 - val_mse: 13.1158\n"
]
},
{
@@ -1617,15 +1619,15 @@
"text": [
"Epoch 46/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 12.3138 - mae: 2.8130 - mse: 12.3138"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.1117 - mae: 1.8457 - mse: 5.1117"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.6489 - mae: 1.9492 - mse: 7.6489 - val_loss: 13.4847 - val_mae: 2.4089 - val_mse: 13.4847\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.8671 - mae: 1.9329 - mse: 7.8671 - val_loss: 12.9690 - val_mae: 2.3042 - val_mse: 12.9690\n"
]
},
{
@@ -1634,7 +1636,7 @@
"text": [
"Epoch 47/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0593 - mae: 1.6419 - mse: 4.0593"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.4026 - mae: 2.3631 - mse: 7.4026"
]
},
{
@@ -1642,7 +1644,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.6494 - mae: 1.9502 - mse: 7.6494 - val_loss: 14.3631 - val_mae: 2.4726 - val_mse: 14.3631\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.5696 - mae: 1.9366 - mse: 7.5696 - val_loss: 13.2230 - val_mae: 2.4574 - val_mse: 13.2230\n"
]
},
{
@@ -1651,7 +1653,7 @@
"text": [
"Epoch 48/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.2665 - mae: 0.8139 - mse: 1.2665"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.4101 - mae: 1.3461 - mse: 2.4101"
]
},
{
@@ -1659,7 +1661,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.6113 - mae: 1.9259 - mse: 7.6113 - val_loss: 14.7889 - val_mae: 2.4596 - val_mse: 14.7889\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.3693 - mae: 1.9225 - mse: 7.3693 - val_loss: 13.4483 - val_mae: 2.3449 - val_mse: 13.4483\n"
]
},
{
@@ -1668,7 +1670,7 @@
"text": [
"Epoch 49/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0618 - mae: 1.7699 - mse: 4.0618"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.3577 - mae: 2.2303 - mse: 7.3577"
]
},
{
@@ -1676,7 +1678,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.6278 - mae: 1.9507 - mse: 7.6278 - val_loss: 15.5162 - val_mae: 2.5617 - val_mse: 15.5162\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.5747 - mae: 1.9105 - mse: 7.5747 - val_loss: 13.2373 - val_mae: 2.3816 - val_mse: 13.2373\n"
]
},
{
@@ -1685,15 +1687,15 @@
"text": [
"Epoch 50/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.1634 - mae: 1.8709 - mse: 5.1634"
+ " 1/36 [..............................] - ETA: 0s - loss: 22.1598 - mae: 2.8860 - mse: 22.1598"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.3041 - mae: 1.9047 - mse: 7.3041 - val_loss: 13.3008 - val_mae: 2.4135 - val_mse: 13.3008\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.4669 - mae: 1.9277 - mse: 7.4669 - val_loss: 12.4698 - val_mae: 2.2827 - val_mse: 12.4698\n"
]
},
{
@@ -1702,7 +1704,7 @@
"text": [
"Epoch 51/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.6307 - mae: 1.4810 - mse: 3.6307"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.6647 - mae: 2.3585 - mse: 7.6647"
]
},
{
@@ -1710,7 +1712,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.2821 - mae: 1.9214 - mse: 7.2821 - val_loss: 13.3205 - val_mae: 2.4189 - val_mse: 13.3205\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.4126 - mae: 1.9136 - mse: 7.4126 - val_loss: 12.7967 - val_mae: 2.3007 - val_mse: 12.7967\n"
]
},
{
@@ -1719,15 +1721,15 @@
"text": [
"Epoch 52/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 13.3746 - mae: 2.3897 - mse: 13.3746"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.6841 - mae: 1.8651 - mse: 6.6841"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.3565 - mae: 1.8909 - mse: 7.3565 - val_loss: 13.3063 - val_mae: 2.3615 - val_mse: 13.3063\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.4912 - mae: 1.8918 - mse: 7.4912 - val_loss: 13.2415 - val_mae: 2.3721 - val_mse: 13.2415\n"
]
},
{
@@ -1736,7 +1738,7 @@
"text": [
"Epoch 53/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 16.4461 - mae: 2.9820 - mse: 16.4461"
+ " 1/36 [..............................] - ETA: 0s - loss: 25.6787 - mae: 3.3779 - mse: 25.6787"
]
},
{
@@ -1744,7 +1746,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.2399 - mae: 1.8732 - mse: 7.2399 - val_loss: 13.0869 - val_mae: 2.3626 - val_mse: 13.0869\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.3401 - mae: 1.8995 - mse: 7.3401 - val_loss: 12.7098 - val_mae: 2.3565 - val_mse: 12.7098\n"
]
},
{
@@ -1753,15 +1755,15 @@
"text": [
"Epoch 54/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.4357 - mae: 1.9095 - mse: 5.4357"
+ " 1/36 [..............................] - ETA: 0s - loss: 10.1976 - mae: 2.4170 - mse: 10.1976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.3204 - mae: 1.8823 - mse: 7.3204 - val_loss: 13.6383 - val_mae: 2.3804 - val_mse: 13.6383\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.1574 - mae: 1.8306 - mse: 7.1574 - val_loss: 13.6833 - val_mae: 2.5442 - val_mse: 13.6833\n"
]
},
{
@@ -1770,7 +1772,7 @@
"text": [
"Epoch 55/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.5260 - mae: 2.6376 - mse: 9.5260"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.3518 - mae: 1.4800 - mse: 3.3518"
]
},
{
@@ -1778,7 +1780,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.9565 - mae: 1.8496 - mse: 6.9565 - val_loss: 14.2109 - val_mae: 2.4282 - val_mse: 14.2109\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.1587 - mae: 1.8769 - mse: 7.1587 - val_loss: 12.6908 - val_mae: 2.4159 - val_mse: 12.6908\n"
]
},
{
@@ -1787,15 +1789,15 @@
"text": [
"Epoch 56/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.3659 - mae: 1.8715 - mse: 5.3659"
+ " 1/36 [..............................] - ETA: 0s - loss: 11.1812 - mae: 2.5203 - mse: 11.1812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.0620 - mae: 1.8954 - mse: 7.0620 - val_loss: 13.3942 - val_mae: 2.3656 - val_mse: 13.3942\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 7.2165 - mae: 1.8258 - mse: 7.2165 - val_loss: 12.6495 - val_mae: 2.3404 - val_mse: 12.6495\n"
]
},
{
@@ -1804,7 +1806,7 @@
"text": [
"Epoch 57/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.4456 - mae: 1.0507 - mse: 1.4456"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.1343 - mae: 1.2883 - mse: 3.1343"
]
},
{
@@ -1812,7 +1814,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 7.0092 - mae: 1.8819 - mse: 7.0092 - val_loss: 13.4036 - val_mae: 2.3867 - val_mse: 13.4036\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.8108 - mae: 1.8368 - mse: 6.8108 - val_loss: 13.0202 - val_mae: 2.3764 - val_mse: 13.0202\n"
]
},
{
@@ -1821,7 +1823,7 @@
"text": [
"Epoch 58/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.4874 - mae: 2.1595 - mse: 6.4874"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.3965 - mae: 1.0410 - mse: 2.3965"
]
},
{
@@ -1829,7 +1831,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.9920 - mae: 1.8659 - mse: 6.9920 - val_loss: 13.8693 - val_mae: 2.4016 - val_mse: 13.8693\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.8447 - mae: 1.8758 - mse: 6.8447 - val_loss: 12.9640 - val_mae: 2.3844 - val_mse: 12.9640\n"
]
},
{
@@ -1838,7 +1840,7 @@
"text": [
"Epoch 59/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 2.6567 - mae: 1.3746 - mse: 2.6567"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.0635 - mae: 2.1455 - mse: 7.0635"
]
},
{
@@ -1846,7 +1848,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.9226 - mae: 1.8695 - mse: 6.9226 - val_loss: 13.8495 - val_mae: 2.4325 - val_mse: 13.8495\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.9957 - mae: 1.8572 - mse: 6.9957 - val_loss: 12.8555 - val_mae: 2.3296 - val_mse: 12.8555\n"
]
},
{
@@ -1855,15 +1857,15 @@
"text": [
"Epoch 60/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 11.7619 - mae: 2.2614 - mse: 11.7619"
+ " 1/36 [..............................] - ETA: 0s - loss: 1.4058 - mae: 0.9211 - mse: 1.4058"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.8162 - mae: 1.8100 - mse: 6.8162 - val_loss: 15.4320 - val_mae: 2.5449 - val_mse: 15.4320\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.5657 - mae: 1.8124 - mse: 6.5657 - val_loss: 12.2690 - val_mae: 2.2857 - val_mse: 12.2690\n"
]
},
{
@@ -1872,7 +1874,7 @@
"text": [
"Epoch 61/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.1087 - mae: 2.3767 - mse: 8.1087"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.4388 - mae: 1.4765 - mse: 3.4388"
]
},
{
@@ -1880,7 +1882,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.9133 - mae: 1.8762 - mse: 6.9133 - val_loss: 12.9091 - val_mae: 2.3326 - val_mse: 12.9091\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.5999 - mae: 1.7953 - mse: 6.5999 - val_loss: 12.2474 - val_mae: 2.3640 - val_mse: 12.2474\n"
]
},
{
@@ -1889,7 +1891,7 @@
"text": [
"Epoch 62/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.9485 - mae: 1.4542 - mse: 3.9485"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.1985 - mae: 1.6036 - mse: 4.1985"
]
},
{
@@ -1897,7 +1899,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.7509 - mae: 1.8198 - mse: 6.7509 - val_loss: 13.1486 - val_mae: 2.3938 - val_mse: 13.1486\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.6099 - mae: 1.7642 - mse: 6.6099 - val_loss: 12.5390 - val_mae: 2.3884 - val_mse: 12.5390\n"
]
},
{
@@ -1906,7 +1908,7 @@
"text": [
"Epoch 63/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.7804 - mae: 2.3251 - mse: 8.7804"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.2697 - mae: 2.4947 - mse: 7.2697"
]
},
{
@@ -1914,7 +1916,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.4485 - mae: 1.7494 - mse: 6.4485 - val_loss: 14.8389 - val_mae: 2.5481 - val_mse: 14.8389\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.4862 - mae: 1.8277 - mse: 6.4862 - val_loss: 12.5393 - val_mae: 2.3245 - val_mse: 12.5393\n"
]
},
{
@@ -1923,7 +1925,7 @@
"text": [
"Epoch 64/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.9892 - mae: 1.6083 - mse: 4.9892"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.5746 - mae: 1.2740 - mse: 2.5746"
]
},
{
@@ -1931,7 +1933,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.6330 - mae: 1.7830 - mse: 6.6330 - val_loss: 13.3076 - val_mae: 2.3590 - val_mse: 13.3076\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.4198 - mae: 1.7613 - mse: 6.4198 - val_loss: 13.6842 - val_mae: 2.3957 - val_mse: 13.6842\n"
]
},
{
@@ -1940,7 +1942,7 @@
"text": [
"Epoch 65/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.0009 - mae: 0.9182 - mse: 1.0009"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.3844 - mae: 1.7560 - mse: 5.3844"
]
},
{
@@ -1948,7 +1950,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.4051 - mae: 1.8167 - mse: 6.4051 - val_loss: 13.1992 - val_mae: 2.3794 - val_mse: 13.1992\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.3637 - mae: 1.7412 - mse: 6.3637 - val_loss: 13.2793 - val_mae: 2.3338 - val_mse: 13.2793\n"
]
},
{
@@ -1957,7 +1959,7 @@
"text": [
"Epoch 66/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.8588 - mae: 0.9972 - mse: 1.8588"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.9346 - mae: 1.6049 - mse: 5.9346"
]
},
{
@@ -1965,7 +1967,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.4886 - mae: 1.7793 - mse: 6.4886 - val_loss: 13.0932 - val_mae: 2.3837 - val_mse: 13.0932\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.2636 - mae: 1.7726 - mse: 6.2636 - val_loss: 12.9668 - val_mae: 2.3200 - val_mse: 12.9668\n"
]
},
{
@@ -1974,15 +1976,15 @@
"text": [
"Epoch 67/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 10.6858 - mae: 2.4324 - mse: 10.6858"
+ " 1/36 [..............................] - ETA: 0s - loss: 8.7173 - mae: 2.1909 - mse: 8.7173"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.2730 - mae: 1.7868 - mse: 6.2730 - val_loss: 13.0315 - val_mae: 2.3573 - val_mse: 13.0315\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.2867 - mae: 1.7650 - mse: 6.2867 - val_loss: 13.3737 - val_mae: 2.3710 - val_mse: 13.3737\n"
]
},
{
@@ -1991,7 +1993,7 @@
"text": [
"Epoch 68/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.6576 - mae: 1.1708 - mse: 1.6576"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.3311 - mae: 1.3425 - mse: 3.3311"
]
},
{
@@ -1999,7 +2001,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.3058 - mae: 1.7874 - mse: 6.3058 - val_loss: 13.9050 - val_mae: 2.5099 - val_mse: 13.9050\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.1797 - mae: 1.7593 - mse: 6.1797 - val_loss: 12.0307 - val_mae: 2.2832 - val_mse: 12.0307\n"
]
},
{
@@ -2008,7 +2010,7 @@
"text": [
"Epoch 69/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.3165 - mae: 1.8470 - mse: 6.3165"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.9111 - mae: 1.4117 - mse: 3.9111"
]
},
{
@@ -2016,7 +2018,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.3884 - mae: 1.7905 - mse: 6.3884 - val_loss: 13.3257 - val_mae: 2.3857 - val_mse: 13.3257\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.4651 - mae: 1.7771 - mse: 6.4651 - val_loss: 12.2397 - val_mae: 2.3214 - val_mse: 12.2397\n"
]
},
{
@@ -2025,7 +2027,7 @@
"text": [
"Epoch 70/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.2936 - mae: 1.5829 - mse: 4.2936"
+ " 1/36 [..............................] - ETA: 0s - loss: 1.1011 - mae: 0.9641 - mse: 1.1011"
]
},
{
@@ -2033,7 +2035,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.2250 - mae: 1.7537 - mse: 6.2250 - val_loss: 13.8636 - val_mae: 2.3860 - val_mse: 13.8636\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.2913 - mae: 1.7455 - mse: 6.2913 - val_loss: 12.9080 - val_mae: 2.3680 - val_mse: 12.9080\n"
]
},
{
@@ -2042,7 +2044,7 @@
"text": [
"Epoch 71/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.3276 - mae: 2.4125 - mse: 9.3276"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.4270 - mae: 1.2445 - mse: 2.4270"
]
},
{
@@ -2050,7 +2052,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.2631 - mae: 1.7455 - mse: 6.2631 - val_loss: 14.0767 - val_mae: 2.4031 - val_mse: 14.0767\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.0847 - mae: 1.7154 - mse: 6.0847 - val_loss: 11.9177 - val_mae: 2.2353 - val_mse: 11.9177\n"
]
},
{
@@ -2059,15 +2061,15 @@
"text": [
"Epoch 72/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0660 - mae: 1.6098 - mse: 4.0660"
+ " 1/36 [..............................] - ETA: 0s - loss: 12.3730 - mae: 2.7309 - mse: 12.3730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.2287 - mae: 1.7631 - mse: 6.2287 - val_loss: 13.2292 - val_mae: 2.3698 - val_mse: 13.2292\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.8482 - mae: 1.7003 - mse: 5.8482 - val_loss: 11.9800 - val_mae: 2.3584 - val_mse: 11.9800\n"
]
},
{
@@ -2076,7 +2078,7 @@
"text": [
"Epoch 73/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.0104 - mae: 2.1212 - mse: 6.0104"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.6617 - mae: 2.3681 - mse: 7.6617"
]
},
{
@@ -2084,7 +2086,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.8985 - mae: 1.7454 - mse: 5.8985 - val_loss: 12.8910 - val_mae: 2.3427 - val_mse: 12.8910\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 6.0238 - mae: 1.7351 - mse: 6.0238 - val_loss: 14.2401 - val_mae: 2.5699 - val_mse: 14.2401\n"
]
},
{
@@ -2093,7 +2095,7 @@
"text": [
"Epoch 74/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.1137 - mae: 1.5237 - mse: 3.1137"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.3728 - mae: 1.2274 - mse: 3.3728"
]
},
{
@@ -2101,7 +2103,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 6.2723 - mae: 1.7694 - mse: 6.2723 - val_loss: 12.5268 - val_mae: 2.3041 - val_mse: 12.5268\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.9064 - mae: 1.7239 - mse: 5.9064 - val_loss: 12.5284 - val_mae: 2.3521 - val_mse: 12.5284\n"
]
},
{
@@ -2110,7 +2112,7 @@
"text": [
"Epoch 75/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 9.1033 - mae: 2.2568 - mse: 9.1033"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.4484 - mae: 1.4781 - mse: 3.4484"
]
},
{
@@ -2118,7 +2120,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.8947 - mae: 1.7714 - mse: 5.8947 - val_loss: 12.7933 - val_mae: 2.2887 - val_mse: 12.7933\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.8608 - mae: 1.7129 - mse: 5.8608 - val_loss: 12.9856 - val_mae: 2.4163 - val_mse: 12.9856\n"
]
},
{
@@ -2127,7 +2129,7 @@
"text": [
"Epoch 76/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.1906 - mae: 1.5643 - mse: 5.1906"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.6239 - mae: 1.1080 - mse: 2.6239"
]
},
{
@@ -2135,7 +2137,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.8951 - mae: 1.6732 - mse: 5.8951 - val_loss: 15.5230 - val_mae: 2.5715 - val_mse: 15.5230\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.8256 - mae: 1.7007 - mse: 5.8256 - val_loss: 13.3413 - val_mae: 2.4283 - val_mse: 13.3413\n"
]
},
{
@@ -2144,7 +2146,7 @@
"text": [
"Epoch 77/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.2202 - mae: 1.7130 - mse: 4.2202"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.6166 - mae: 2.0045 - mse: 6.6166"
]
},
{
@@ -2152,7 +2154,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.9246 - mae: 1.7435 - mse: 5.9246 - val_loss: 13.4371 - val_mae: 2.4378 - val_mse: 13.4371\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.7902 - mae: 1.6942 - mse: 5.7902 - val_loss: 12.8301 - val_mae: 2.3500 - val_mse: 12.8301\n"
]
},
{
@@ -2161,15 +2163,15 @@
"text": [
"Epoch 78/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 15.0750 - mae: 2.4584 - mse: 15.0750"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.4865 - mae: 1.4235 - mse: 3.4865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.7637 - mae: 1.6898 - mse: 5.7637 - val_loss: 12.9896 - val_mae: 2.3241 - val_mse: 12.9896\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.5314 - mae: 1.6589 - mse: 5.5314 - val_loss: 13.5920 - val_mae: 2.3699 - val_mse: 13.5920\n"
]
},
{
@@ -2178,7 +2180,7 @@
"text": [
"Epoch 79/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 5.7574 - mae: 1.9001 - mse: 5.7574"
+ " 1/36 [..............................] - ETA: 0s - loss: 0.6828 - mae: 0.6668 - mse: 0.6828"
]
},
{
@@ -2186,7 +2188,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6239 - mae: 1.6565 - mse: 5.6239 - val_loss: 12.9841 - val_mae: 2.4193 - val_mse: 12.9841\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.5757 - mae: 1.7302 - mse: 5.5757 - val_loss: 11.6502 - val_mae: 2.2429 - val_mse: 11.6502\n"
]
},
{
@@ -2195,7 +2197,7 @@
"text": [
"Epoch 80/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.9726 - mae: 1.7022 - mse: 3.9726"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.8948 - mae: 1.2464 - mse: 2.8948"
]
},
{
@@ -2203,7 +2205,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6628 - mae: 1.7008 - mse: 5.6628 - val_loss: 14.2899 - val_mae: 2.5081 - val_mse: 14.2899\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.5959 - mae: 1.6710 - mse: 5.5959 - val_loss: 12.8662 - val_mae: 2.3524 - val_mse: 12.8662\n"
]
},
{
@@ -2212,7 +2214,7 @@
"text": [
"Epoch 81/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.9900 - mae: 1.9765 - mse: 4.9900"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.4004 - mae: 1.8574 - mse: 4.4004"
]
},
{
@@ -2220,7 +2222,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6927 - mae: 1.6930 - mse: 5.6927 - val_loss: 12.6935 - val_mae: 2.3240 - val_mse: 12.6935\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.4484 - mae: 1.6461 - mse: 5.4484 - val_loss: 14.2820 - val_mae: 2.5297 - val_mse: 14.2820\n"
]
},
{
@@ -2229,7 +2231,7 @@
"text": [
"Epoch 82/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.9577 - mae: 2.0217 - mse: 6.9577"
+ " 1/36 [..............................] - ETA: 0s - loss: 7.1577 - mae: 1.7312 - mse: 7.1577"
]
},
{
@@ -2237,7 +2239,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.4944 - mae: 1.7029 - mse: 5.4944 - val_loss: 13.6903 - val_mae: 2.3776 - val_mse: 13.6903\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.3292 - mae: 1.6561 - mse: 5.3292 - val_loss: 12.7035 - val_mae: 2.5154 - val_mse: 12.7035\n"
]
},
{
@@ -2246,7 +2248,7 @@
"text": [
"Epoch 83/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.2078 - mae: 1.5954 - mse: 3.2078"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.3531 - mae: 1.8256 - mse: 5.3531"
]
},
{
@@ -2254,7 +2256,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.6522 - mae: 1.7010 - mse: 5.6522 - val_loss: 12.7517 - val_mae: 2.3456 - val_mse: 12.7517\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.3376 - mae: 1.6476 - mse: 5.3376 - val_loss: 12.6874 - val_mae: 2.4660 - val_mse: 12.6874\n"
]
},
{
@@ -2263,7 +2265,7 @@
"text": [
"Epoch 84/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.7529 - mae: 1.9461 - mse: 4.7529"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.2913 - mae: 1.3012 - mse: 2.2913"
]
},
{
@@ -2271,7 +2273,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.5479 - mae: 1.6726 - mse: 5.5479 - val_loss: 12.3647 - val_mae: 2.3047 - val_mse: 12.3647\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.2812 - mae: 1.6430 - mse: 5.2812 - val_loss: 12.7600 - val_mae: 2.3858 - val_mse: 12.7600\n"
]
},
{
@@ -2280,7 +2282,7 @@
"text": [
"Epoch 85/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.5596 - mae: 0.8798 - mse: 1.5596"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.2834 - mae: 1.2217 - mse: 2.2834"
]
},
{
@@ -2288,7 +2290,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.4444 - mae: 1.6182 - mse: 5.4444 - val_loss: 12.5509 - val_mae: 2.3111 - val_mse: 12.5509\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.4888 - mae: 1.6856 - mse: 5.4888 - val_loss: 12.6539 - val_mae: 2.3476 - val_mse: 12.6539\n"
]
},
{
@@ -2297,7 +2299,7 @@
"text": [
"Epoch 86/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.4941 - mae: 2.1528 - mse: 7.4941"
+ " 1/36 [..............................] - ETA: 0s - loss: 5.8355 - mae: 2.0482 - mse: 5.8355"
]
},
{
@@ -2305,7 +2307,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.4652 - mae: 1.6338 - mse: 5.4652 - val_loss: 12.5566 - val_mae: 2.3542 - val_mse: 12.5566\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.2497 - mae: 1.6176 - mse: 5.2497 - val_loss: 11.6699 - val_mae: 2.2357 - val_mse: 11.6699\n"
]
},
{
@@ -2314,7 +2316,7 @@
"text": [
"Epoch 87/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.4916 - mae: 1.5555 - mse: 3.4916"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.1751 - mae: 2.0722 - mse: 6.1751"
]
},
{
@@ -2322,7 +2324,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.5666 - mae: 1.6390 - mse: 5.5666 - val_loss: 12.4106 - val_mae: 2.3009 - val_mse: 12.4106\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.1398 - mae: 1.6054 - mse: 5.1398 - val_loss: 12.0369 - val_mae: 2.3929 - val_mse: 12.0369\n"
]
},
{
@@ -2331,15 +2333,15 @@
"text": [
"Epoch 88/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 17.3554 - mae: 2.8161 - mse: 17.3554"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.0589 - mae: 1.5536 - mse: 4.0589"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.2077 - mae: 1.6400 - mse: 5.2077 - val_loss: 13.3929 - val_mae: 2.3591 - val_mse: 13.3929\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.1168 - mae: 1.5843 - mse: 5.1168 - val_loss: 11.5852 - val_mae: 2.2270 - val_mse: 11.5852\n"
]
},
{
@@ -2348,7 +2350,7 @@
"text": [
"Epoch 89/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 1.2050 - mae: 0.8373 - mse: 1.2050"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.2984 - mae: 1.7413 - mse: 4.2984"
]
},
{
@@ -2356,7 +2358,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.3255 - mae: 1.6316 - mse: 5.3255 - val_loss: 13.3948 - val_mae: 2.3415 - val_mse: 13.3948\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.9015 - mae: 1.6137 - mse: 4.9015 - val_loss: 12.1187 - val_mae: 2.4366 - val_mse: 12.1187\n"
]
},
{
@@ -2365,15 +2367,15 @@
"text": [
"Epoch 90/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0811 - mae: 1.6029 - mse: 4.0811"
+ " 1/36 [..............................] - ETA: 0s - loss: 12.7976 - mae: 1.9028 - mse: 12.7976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.2528 - mae: 1.5911 - mse: 5.2528 - val_loss: 14.7952 - val_mae: 2.4915 - val_mse: 14.7952\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.8665 - mae: 1.5606 - mse: 4.8665 - val_loss: 15.2519 - val_mae: 2.6009 - val_mse: 15.2519\n"
]
},
{
@@ -2382,7 +2384,7 @@
"text": [
"Epoch 91/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 8.1721 - mae: 2.1004 - mse: 8.1721"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.6535 - mae: 2.0568 - mse: 6.6535"
]
},
{
@@ -2390,7 +2392,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.2857 - mae: 1.6431 - mse: 5.2857 - val_loss: 13.3228 - val_mae: 2.4061 - val_mse: 13.3228\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.1705 - mae: 1.6286 - mse: 5.1705 - val_loss: 13.2850 - val_mae: 2.3707 - val_mse: 13.2850\n"
]
},
{
@@ -2399,7 +2401,7 @@
"text": [
"Epoch 92/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 6.6123 - mae: 2.0193 - mse: 6.6123"
+ " 1/36 [..............................] - ETA: 0s - loss: 1.5029 - mae: 1.0787 - mse: 1.5029"
]
},
{
@@ -2407,7 +2409,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.3257 - mae: 1.6181 - mse: 5.3257 - val_loss: 12.9694 - val_mae: 2.3735 - val_mse: 12.9694\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 5.1187 - mae: 1.5887 - mse: 5.1187 - val_loss: 11.8848 - val_mae: 2.2974 - val_mse: 11.8848\n"
]
},
{
@@ -2416,7 +2418,7 @@
"text": [
"Epoch 93/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.4923 - mae: 1.5790 - mse: 4.4923"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.4396 - mae: 1.8832 - mse: 6.4396"
]
},
{
@@ -2424,7 +2426,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.0725 - mae: 1.5739 - mse: 5.0725 - val_loss: 12.1460 - val_mae: 2.3334 - val_mse: 12.1460\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.7854 - mae: 1.5438 - mse: 4.7854 - val_loss: 12.8263 - val_mae: 2.3866 - val_mse: 12.8263\n"
]
},
{
@@ -2433,7 +2435,7 @@
"text": [
"Epoch 94/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.5603 - mae: 1.7095 - mse: 3.5603"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.8374 - mae: 1.2201 - mse: 2.8374"
]
},
{
@@ -2441,7 +2443,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.0013 - mae: 1.5412 - mse: 5.0013 - val_loss: 12.2631 - val_mae: 2.2999 - val_mse: 12.2631\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.6870 - mae: 1.5416 - mse: 4.6870 - val_loss: 13.2347 - val_mae: 2.5382 - val_mse: 13.2347\n"
]
},
{
@@ -2450,7 +2452,7 @@
"text": [
"Epoch 95/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.5386 - mae: 1.6417 - mse: 3.5386"
+ " 1/36 [..............................] - ETA: 0s - loss: 9.4396 - mae: 2.5367 - mse: 9.4396"
]
},
{
@@ -2458,7 +2460,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.9984 - mae: 1.5613 - mse: 4.9984 - val_loss: 13.6850 - val_mae: 2.4206 - val_mse: 13.6850\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.9903 - mae: 1.5629 - mse: 4.9903 - val_loss: 11.7711 - val_mae: 2.2457 - val_mse: 11.7711\n"
]
},
{
@@ -2467,7 +2469,7 @@
"text": [
"Epoch 96/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 4.0995 - mae: 1.7741 - mse: 4.0995"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.1902 - mae: 1.0458 - mse: 2.1902"
]
},
{
@@ -2475,7 +2477,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.9245 - mae: 1.5599 - mse: 4.9245 - val_loss: 12.8912 - val_mae: 2.4394 - val_mse: 12.8912\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.6655 - mae: 1.5398 - mse: 4.6655 - val_loss: 12.3467 - val_mae: 2.3698 - val_mse: 12.3467\n"
]
},
{
@@ -2484,7 +2486,7 @@
"text": [
"Epoch 97/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.5955 - mae: 1.6045 - mse: 3.5955"
+ " 1/36 [..............................] - ETA: 0s - loss: 6.0663 - mae: 1.8891 - mse: 6.0663"
]
},
{
@@ -2492,7 +2494,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 5.0209 - mae: 1.6005 - mse: 5.0209 - val_loss: 13.2827 - val_mae: 2.4309 - val_mse: 13.2827\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.6368 - mae: 1.5071 - mse: 4.6368 - val_loss: 11.6750 - val_mae: 2.2501 - val_mse: 11.6750\n"
]
},
{
@@ -2501,7 +2503,7 @@
"text": [
"Epoch 98/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 7.3068 - mae: 1.9157 - mse: 7.3068"
+ " 1/36 [..............................] - ETA: 0s - loss: 3.7548 - mae: 1.4248 - mse: 3.7548"
]
},
{
@@ -2509,7 +2511,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.8442 - mae: 1.5370 - mse: 4.8442 - val_loss: 14.1536 - val_mae: 2.5455 - val_mse: 14.1536\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.6304 - mae: 1.5311 - mse: 4.6304 - val_loss: 11.7970 - val_mae: 2.3192 - val_mse: 11.7970\n"
]
},
{
@@ -2518,15 +2520,15 @@
"text": [
"Epoch 99/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 11.6336 - mae: 2.6111 - mse: 11.6336"
+ " 1/36 [..............................] - ETA: 0s - loss: 2.5398 - mae: 1.3573 - mse: 2.5398"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.9964 - mae: 1.6024 - mse: 4.9964 - val_loss: 12.6009 - val_mae: 2.3386 - val_mse: 12.6009\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.5894 - mae: 1.5283 - mse: 4.5894 - val_loss: 11.2752 - val_mae: 2.2551 - val_mse: 11.2752\n"
]
},
{
@@ -2535,7 +2537,7 @@
"text": [
"Epoch 100/100\n",
"\r",
- " 1/36 [..............................] - ETA: 0s - loss: 3.9114 - mae: 1.4947 - mse: 3.9114"
+ " 1/36 [..............................] - ETA: 0s - loss: 4.4567 - mae: 1.9337 - mse: 4.4567"
]
},
{
@@ -2543,7 +2545,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "36/36 [==============================] - 0s 2ms/step - loss: 4.8556 - mae: 1.5872 - mse: 4.8556 - val_loss: 12.0747 - val_mae: 2.3187 - val_mse: 12.0747\n"
+ "36/36 [==============================] - 0s 2ms/step - loss: 4.5993 - mae: 1.5317 - mse: 4.5993 - val_loss: 11.7914 - val_mae: 2.2495 - val_mse: 11.7914\n"
]
}
],
@@ -2572,10 +2574,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:38.818456Z",
- "iopub.status.busy": "2021-01-14T07:11:38.817974Z",
- "iopub.status.idle": "2021-01-14T07:11:38.841109Z",
- "shell.execute_reply": "2021-01-14T07:11:38.841445Z"
+ "iopub.execute_input": "2021-01-26T10:05:56.594618Z",
+ "iopub.status.busy": "2021-01-26T10:05:56.594257Z",
+ "iopub.status.idle": "2021-01-26T10:05:56.618379Z",
+ "shell.execute_reply": "2021-01-26T10:05:56.618630Z"
}
},
"outputs": [
@@ -2583,9 +2585,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "x_test / loss : 12.0747\n",
- "x_test / mae : 2.3187\n",
- "x_test / mse : 12.0747\n"
+ "x_test / loss : 11.7914\n",
+ "x_test / mae : 2.2495\n",
+ "x_test / mse : 11.7914\n"
]
}
],
@@ -2610,10 +2612,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:38.844554Z",
- "iopub.status.busy": "2021-01-14T07:11:38.844170Z",
- "iopub.status.idle": "2021-01-14T07:11:38.846325Z",
- "shell.execute_reply": "2021-01-14T07:11:38.846653Z"
+ "iopub.execute_input": "2021-01-26T10:05:56.621555Z",
+ "iopub.status.busy": "2021-01-26T10:05:56.621133Z",
+ "iopub.status.idle": "2021-01-26T10:05:56.623569Z",
+ "shell.execute_reply": "2021-01-26T10:05:56.623837Z"
}
},
"outputs": [
@@ -2621,7 +2623,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "min( val_mae ) : 2.2887\n"
+ "min( val_mae ) : 2.2270\n"
]
}
],
@@ -2634,10 +2636,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:38.854473Z",
- "iopub.status.busy": "2021-01-14T07:11:38.854147Z",
- "iopub.status.idle": "2021-01-14T07:11:39.841336Z",
- "shell.execute_reply": "2021-01-14T07:11:39.841667Z"
+ "iopub.execute_input": "2021-01-26T10:05:56.635433Z",
+ "iopub.status.busy": "2021-01-26T10:05:56.632775Z",
+ "iopub.status.idle": "2021-01-26T10:05:57.639103Z",
+ "shell.execute_reply": "2021-01-26T10:05:57.638824Z"
}
},
"outputs": [
@@ -2655,7 +2657,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -2679,7 +2681,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -2703,7 +2705,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -2739,10 +2741,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:39.848392Z",
- "iopub.status.busy": "2021-01-14T07:11:39.844232Z",
- "iopub.status.idle": "2021-01-14T07:11:39.877884Z",
- "shell.execute_reply": "2021-01-14T07:11:39.877545Z"
+ "iopub.execute_input": "2021-01-26T10:05:57.645194Z",
+ "iopub.status.busy": "2021-01-26T10:05:57.644876Z",
+ "iopub.status.idle": "2021-01-26T10:05:57.677424Z",
+ "shell.execute_reply": "2021-01-26T10:05:57.677746Z"
}
},
"outputs": [
@@ -2786,10 +2788,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:39.881670Z",
- "iopub.status.busy": "2021-01-14T07:11:39.881093Z",
- "iopub.status.idle": "2021-01-14T07:11:39.990990Z",
- "shell.execute_reply": "2021-01-14T07:11:39.991253Z"
+ "iopub.execute_input": "2021-01-26T10:05:57.681523Z",
+ "iopub.status.busy": "2021-01-26T10:05:57.680777Z",
+ "iopub.status.idle": "2021-01-26T10:05:57.796729Z",
+ "shell.execute_reply": "2021-01-26T10:05:57.796363Z"
}
},
"outputs": [
@@ -2797,9 +2799,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "x_test / loss : 12.0747\n",
- "x_test / mae : 2.3187\n",
- "x_test / mse : 12.0747\n"
+ "x_test / loss : 11.2752\n",
+ "x_test / mae : 2.2551\n",
+ "x_test / mse : 11.2752\n"
]
}
],
@@ -2823,10 +2825,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:39.994475Z",
- "iopub.status.busy": "2021-01-14T07:11:39.994150Z",
- "iopub.status.idle": "2021-01-14T07:11:39.996556Z",
- "shell.execute_reply": "2021-01-14T07:11:39.996222Z"
+ "iopub.execute_input": "2021-01-26T10:05:57.800848Z",
+ "iopub.status.busy": "2021-01-26T10:05:57.800397Z",
+ "iopub.status.idle": "2021-01-26T10:05:57.803014Z",
+ "shell.execute_reply": "2021-01-26T10:05:57.802635Z"
}
},
"outputs": [],
@@ -2844,10 +2846,10 @@
"execution_count": 16,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:39.999500Z",
- "iopub.status.busy": "2021-01-14T07:11:39.999172Z",
- "iopub.status.idle": "2021-01-14T07:11:40.078554Z",
- "shell.execute_reply": "2021-01-14T07:11:40.078906Z"
+ "iopub.execute_input": "2021-01-26T10:05:57.806375Z",
+ "iopub.status.busy": "2021-01-26T10:05:57.806034Z",
+ "iopub.status.idle": "2021-01-26T10:05:57.884911Z",
+ "shell.execute_reply": "2021-01-26T10:05:57.885235Z"
}
},
"outputs": [
@@ -2855,7 +2857,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Prediction : 11.47 K$ Reality : 10.40 K$\n"
+ "Prediction : 11.86 K$ Reality : 10.40 K$\n"
]
}
],
@@ -2869,10 +2871,10 @@
"execution_count": 17,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:40.081882Z",
- "iopub.status.busy": "2021-01-14T07:11:40.081518Z",
- "iopub.status.idle": "2021-01-14T07:11:40.083755Z",
- "shell.execute_reply": "2021-01-14T07:11:40.083482Z"
+ "iopub.execute_input": "2021-01-26T10:05:57.887920Z",
+ "iopub.status.busy": "2021-01-26T10:05:57.887530Z",
+ "iopub.status.idle": "2021-01-26T10:05:57.891218Z",
+ "shell.execute_reply": "2021-01-26T10:05:57.890807Z"
}
},
"outputs": [
@@ -2880,8 +2882,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:11:40\n",
- "Duration is : 00:00:09 336ms\n",
+ "End time is : Tuesday 26 January 2021, 11:05:57\n",
+ "Duration is : 00:00:10 715ms\n",
"This notebook ends here\n"
]
}
@@ -2915,7 +2917,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/IRIS/01-Simple-Perceptron==done==.ipynb b/IRIS/01-Simple-Perceptron==done==.ipynb
index 9457019e6a66dd8c081918493dc502a23bfdcd3c..2ef233b6e176af594decb2fcd9d1188036d32cb0 100644
--- a/IRIS/01-Simple-Perceptron==done==.ipynb
+++ b/IRIS/01-Simple-Perceptron==done==.ipynb
@@ -29,10 +29,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:15.073410Z",
- "iopub.status.busy": "2021-01-14T07:11:15.073061Z",
- "iopub.status.idle": "2021-01-14T07:11:16.472037Z",
- "shell.execute_reply": "2021-01-14T07:11:16.471694Z"
+ "iopub.execute_input": "2021-01-26T10:05:34.899916Z",
+ "iopub.status.busy": "2021-01-26T10:05:34.899594Z",
+ "iopub.status.idle": "2021-01-26T10:05:36.334882Z",
+ "shell.execute_reply": "2021-01-26T10:05:36.334490Z"
}
},
"outputs": [
@@ -111,12 +111,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : PER57\n",
- "Run time : Thursday 14 January 2021, 08:11:16\n",
+ "Run time : Tuesday 26 January 2021, 11:05:36\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -166,10 +166,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:16.475780Z",
- "iopub.status.busy": "2021-01-14T07:11:16.475428Z",
- "iopub.status.idle": "2021-01-14T07:11:16.495257Z",
- "shell.execute_reply": "2021-01-14T07:11:16.494915Z"
+ "iopub.execute_input": "2021-01-26T10:05:36.339161Z",
+ "iopub.status.busy": "2021-01-26T10:05:36.338334Z",
+ "iopub.status.idle": "2021-01-26T10:05:36.353929Z",
+ "shell.execute_reply": "2021-01-26T10:05:36.354276Z"
}
},
"outputs": [
@@ -328,10 +328,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:16.499313Z",
- "iopub.status.busy": "2021-01-14T07:11:16.498843Z",
- "iopub.status.idle": "2021-01-14T07:11:16.501600Z",
- "shell.execute_reply": "2021-01-14T07:11:16.501270Z"
+ "iopub.execute_input": "2021-01-26T10:05:36.358748Z",
+ "iopub.status.busy": "2021-01-26T10:05:36.358253Z",
+ "iopub.status.idle": "2021-01-26T10:05:36.361914Z",
+ "shell.execute_reply": "2021-01-26T10:05:36.361525Z"
}
},
"outputs": [
@@ -373,10 +373,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:16.505354Z",
- "iopub.status.busy": "2021-01-14T07:11:16.504910Z",
- "iopub.status.idle": "2021-01-14T07:11:16.513160Z",
- "shell.execute_reply": "2021-01-14T07:11:16.512822Z"
+ "iopub.execute_input": "2021-01-26T10:05:36.366364Z",
+ "iopub.status.busy": "2021-01-26T10:05:36.366000Z",
+ "iopub.status.idle": "2021-01-26T10:05:36.373813Z",
+ "shell.execute_reply": "2021-01-26T10:05:36.373452Z"
}
},
"outputs": [
@@ -385,25 +385,25 @@
"output_type": "stream",
"text": [
"-- Epoch 1\n",
- "Norm: 2.60, NNZs: 2, Bias: 5.000000, T: 120, Avg. loss: 0.305583\n",
+ "Norm: 1.94, NNZs: 2, Bias: 3.000000, T: 120, Avg. loss: 0.159083\n",
"Total training time: 0.00 seconds.\n",
"-- Epoch 2\n",
- "Norm: 2.60, NNZs: 2, Bias: 5.000000, T: 240, Avg. loss: 0.000000\n",
+ "Norm: 1.94, NNZs: 2, Bias: 3.000000, T: 240, Avg. loss: 0.000000\n",
"Total training time: 0.00 seconds.\n",
"-- Epoch 3\n",
- "Norm: 2.60, NNZs: 2, Bias: 5.000000, T: 360, Avg. loss: 0.000000\n",
+ "Norm: 1.94, NNZs: 2, Bias: 3.000000, T: 360, Avg. loss: 0.000000\n",
"Total training time: 0.00 seconds.\n",
"-- Epoch 4\n",
- "Norm: 2.60, NNZs: 2, Bias: 5.000000, T: 480, Avg. loss: 0.000000\n",
+ "Norm: 1.94, NNZs: 2, Bias: 3.000000, T: 480, Avg. loss: 0.000000\n",
"Total training time: 0.00 seconds.\n",
"-- Epoch 5\n",
- "Norm: 2.60, NNZs: 2, Bias: 5.000000, T: 600, Avg. loss: 0.000000\n",
+ "Norm: 1.94, NNZs: 2, Bias: 3.000000, T: 600, Avg. loss: 0.000000\n",
"Total training time: 0.00 seconds.\n",
"-- Epoch 6\n",
- "Norm: 2.60, NNZs: 2, Bias: 5.000000, T: 720, Avg. loss: 0.000000\n",
+ "Norm: 1.94, NNZs: 2, Bias: 3.000000, T: 720, Avg. loss: 0.000000\n",
"Total training time: 0.00 seconds.\n",
"-- Epoch 7\n",
- "Norm: 2.60, NNZs: 2, Bias: 5.000000, T: 840, Avg. loss: 0.000000\n",
+ "Norm: 1.94, NNZs: 2, Bias: 3.000000, T: 840, Avg. loss: 0.000000\n",
"Total training time: 0.00 seconds.\n",
"Convergence after 7 epochs took 0.00 seconds\n"
]
@@ -436,10 +436,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:16.521767Z",
- "iopub.status.busy": "2021-01-14T07:11:16.517602Z",
- "iopub.status.idle": "2021-01-14T07:11:16.525501Z",
- "shell.execute_reply": "2021-01-14T07:11:16.525207Z"
+ "iopub.execute_input": "2021-01-26T10:05:36.382839Z",
+ "iopub.status.busy": "2021-01-26T10:05:36.382393Z",
+ "iopub.status.idle": "2021-01-26T10:05:36.385769Z",
+ "shell.execute_reply": "2021-01-26T10:05:36.385431Z"
}
},
"outputs": [
@@ -473,106 +473,106 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
- " <td>4.0</td>\n",
- " <td>1.3</td>\n",
+ " <td>5.5</td>\n",
+ " <td>1.8</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4.4</td>\n",
- " <td>1.3</td>\n",
+ " <td>1.4</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
- " <td>5.7</td>\n",
- " <td>2.1</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
+ " <td>1.5</td>\n",
+ " <td>0.4</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
- " <td>4.4</td>\n",
- " <td>1.2</td>\n",
+ " <td>4.5</td>\n",
+ " <td>1.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
- " <td>5.6</td>\n",
- " <td>2.4</td>\n",
+ " <td>4.4</td>\n",
+ " <td>1.2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
+ " <td>1.5</td>\n",
+ " <td>0.4</td>\n",
+ " <td>1</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
" <td>5.6</td>\n",
- " <td>2.2</td>\n",
+ " <td>1.4</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>6</th>\n",
- " <td>1.3</td>\n",
- " <td>0.2</td>\n",
+ " <th>7</th>\n",
+ " <td>1.7</td>\n",
+ " <td>0.3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7</th>\n",
- " <td>4.7</td>\n",
- " <td>1.6</td>\n",
+ " <th>8</th>\n",
+ " <td>4.9</td>\n",
+ " <td>1.8</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8</th>\n",
- " <td>1.0</td>\n",
- " <td>0.2</td>\n",
- " <td>1</td>\n",
- " <td>1</td>\n",
+ " <th>9</th>\n",
+ " <td>4.5</td>\n",
+ " <td>1.7</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9</th>\n",
- " <td>1.3</td>\n",
+ " <th>10</th>\n",
+ " <td>1.4</td>\n",
" <td>0.2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10</th>\n",
- " <td>5.7</td>\n",
- " <td>2.3</td>\n",
+ " <th>11</th>\n",
+ " <td>3.7</td>\n",
+ " <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11</th>\n",
- " <td>1.6</td>\n",
+ " <th>12</th>\n",
+ " <td>1.5</td>\n",
" <td>0.2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12</th>\n",
- " <td>3.9</td>\n",
- " <td>1.2</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " </tr>\n",
- " <tr>\n",
" <th>13</th>\n",
- " <td>4.9</td>\n",
- " <td>1.8</td>\n",
+ " <td>4.0</td>\n",
+ " <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
- " <td>3.7</td>\n",
- " <td>1.0</td>\n",
+ " <td>4.5</td>\n",
+ " <td>1.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
@@ -582,21 +582,21 @@
],
"text/plain": [
" Length (x1) Width (x2) y_test y_pred\n",
- "0 4.0 1.3 0 0\n",
- "1 4.4 1.3 0 0\n",
- "2 5.7 2.1 0 0\n",
- "3 4.4 1.2 0 0\n",
- "4 5.6 2.4 0 0\n",
- "5 5.6 2.2 0 0\n",
- "6 1.3 0.2 1 1\n",
- "7 4.7 1.6 0 0\n",
- "8 1.0 0.2 1 1\n",
- "9 1.3 0.2 1 1\n",
- "10 5.7 2.3 0 0\n",
- "11 1.6 0.2 1 1\n",
- "12 3.9 1.2 0 0\n",
- "13 4.9 1.8 0 0\n",
- "14 3.7 1.0 0 0"
+ "0 5.5 1.8 0 0\n",
+ "1 4.4 1.4 0 0\n",
+ "2 1.5 0.4 1 1\n",
+ "3 4.5 1.5 0 0\n",
+ "4 4.4 1.2 0 0\n",
+ "5 1.5 0.4 1 1\n",
+ "6 5.6 1.4 0 0\n",
+ "7 1.7 0.3 1 1\n",
+ "8 4.9 1.8 0 0\n",
+ "9 4.5 1.7 0 0\n",
+ "10 1.4 0.2 1 1\n",
+ "11 3.7 1.0 0 0\n",
+ "12 1.5 0.2 1 1\n",
+ "13 4.0 1.0 0 0\n",
+ "14 4.5 1.5 0 0"
]
},
"metadata": {},
@@ -622,10 +622,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:16.538867Z",
- "iopub.status.busy": "2021-01-14T07:11:16.532894Z",
- "iopub.status.idle": "2021-01-14T07:11:16.937457Z",
- "shell.execute_reply": "2021-01-14T07:11:16.937171Z"
+ "iopub.execute_input": "2021-01-26T10:05:36.401730Z",
+ "iopub.status.busy": "2021-01-26T10:05:36.397278Z",
+ "iopub.status.idle": "2021-01-26T10:05:36.815320Z",
+ "shell.execute_reply": "2021-01-26T10:05:36.815646Z"
}
},
"outputs": [
@@ -643,7 +643,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
@@ -689,10 +689,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:16.940357Z",
- "iopub.status.busy": "2021-01-14T07:11:16.939956Z",
- "iopub.status.idle": "2021-01-14T07:11:16.943590Z",
- "shell.execute_reply": "2021-01-14T07:11:16.943262Z"
+ "iopub.execute_input": "2021-01-26T10:05:36.818652Z",
+ "iopub.status.busy": "2021-01-26T10:05:36.818254Z",
+ "iopub.status.idle": "2021-01-26T10:05:36.821342Z",
+ "shell.execute_reply": "2021-01-26T10:05:36.820985Z"
}
},
"outputs": [
@@ -700,8 +700,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:11:16\n",
- "Duration is : 00:00:00 474ms\n",
+ "End time is : Tuesday 26 January 2021, 11:05:36\n",
+ "Duration is : 00:00:00 490ms\n",
"This notebook ends here\n"
]
}
@@ -735,7 +735,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/LinearReg/01-Linear-Regression==done==.ipynb b/LinearReg/01-Linear-Regression==done==.ipynb
index 104c22562a108af1c7c63ec55c15b4d58263c08f..3235389659abe8d3dc510aed67b6b437ce7d91f0 100644
--- a/LinearReg/01-Linear-Regression==done==.ipynb
+++ b/LinearReg/01-Linear-Regression==done==.ipynb
@@ -32,10 +32,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:10:57.300424Z",
- "iopub.status.busy": "2021-01-14T07:10:57.300035Z",
- "iopub.status.idle": "2021-01-14T07:11:00.143853Z",
- "shell.execute_reply": "2021-01-14T07:11:00.143457Z"
+ "iopub.execute_input": "2021-01-26T10:05:17.216638Z",
+ "iopub.status.busy": "2021-01-26T10:05:17.216142Z",
+ "iopub.status.idle": "2021-01-26T10:05:19.313345Z",
+ "shell.execute_reply": "2021-01-26T10:05:19.312911Z"
}
},
"outputs": [
@@ -114,12 +114,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : LINR1\n",
- "Run time : Thursday 14 January 2021, 08:11:00\n",
+ "Run time : Tuesday 26 January 2021, 11:05:19\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -152,10 +152,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:00.148557Z",
- "iopub.status.busy": "2021-01-14T07:11:00.148123Z",
- "iopub.status.idle": "2021-01-14T07:11:00.150555Z",
- "shell.execute_reply": "2021-01-14T07:11:00.150183Z"
+ "iopub.execute_input": "2021-01-26T10:05:19.317961Z",
+ "iopub.status.busy": "2021-01-26T10:05:19.317505Z",
+ "iopub.status.idle": "2021-01-26T10:05:19.321328Z",
+ "shell.execute_reply": "2021-01-26T10:05:19.321586Z"
}
},
"outputs": [],
@@ -199,10 +199,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:00.163740Z",
- "iopub.status.busy": "2021-01-14T07:11:00.160976Z",
- "iopub.status.idle": "2021-01-14T07:11:00.462084Z",
- "shell.execute_reply": "2021-01-14T07:11:00.461704Z"
+ "iopub.execute_input": "2021-01-26T10:05:19.335533Z",
+ "iopub.status.busy": "2021-01-26T10:05:19.325707Z",
+ "iopub.status.idle": "2021-01-26T10:05:19.712690Z",
+ "shell.execute_reply": "2021-01-26T10:05:19.712387Z"
}
},
"outputs": [
@@ -220,7 +220,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -267,10 +267,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:00.469467Z",
- "iopub.status.busy": "2021-01-14T07:11:00.469091Z",
- "iopub.status.idle": "2021-01-14T07:11:00.472673Z",
- "shell.execute_reply": "2021-01-14T07:11:00.472310Z"
+ "iopub.execute_input": "2021-01-26T10:05:19.717262Z",
+ "iopub.status.busy": "2021-01-26T10:05:19.716797Z",
+ "iopub.status.idle": "2021-01-26T10:05:19.719702Z",
+ "shell.execute_reply": "2021-01-26T10:05:19.719321Z"
}
},
"outputs": [
@@ -283,8 +283,8 @@
" [2]] \n",
"\n",
"theta hat :\n",
- " [[4.25724998]\n",
- " [1.77417902]]\n"
+ " [[5.88192112]\n",
+ " [1.77269376]]\n"
]
}
],
@@ -306,10 +306,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:00.489250Z",
- "iopub.status.busy": "2021-01-14T07:11:00.488870Z",
- "iopub.status.idle": "2021-01-14T07:11:00.797293Z",
- "shell.execute_reply": "2021-01-14T07:11:00.796952Z"
+ "iopub.execute_input": "2021-01-26T10:05:19.732079Z",
+ "iopub.status.busy": "2021-01-26T10:05:19.728209Z",
+ "iopub.status.idle": "2021-01-26T10:05:20.037931Z",
+ "shell.execute_reply": "2021-01-26T10:05:20.037434Z"
}
},
"outputs": [
@@ -327,7 +327,7 @@
},
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -356,10 +356,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:00.800170Z",
- "iopub.status.busy": "2021-01-14T07:11:00.799750Z",
- "iopub.status.idle": "2021-01-14T07:11:00.803762Z",
- "shell.execute_reply": "2021-01-14T07:11:00.803393Z"
+ "iopub.execute_input": "2021-01-26T10:05:20.041132Z",
+ "iopub.status.busy": "2021-01-26T10:05:20.040611Z",
+ "iopub.status.idle": "2021-01-26T10:05:20.044031Z",
+ "shell.execute_reply": "2021-01-26T10:05:20.043694Z"
}
},
"outputs": [
@@ -367,8 +367,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:11:00\n",
- "Duration is : 00:00:01 662ms\n",
+ "End time is : Tuesday 26 January 2021, 11:05:20\n",
+ "Duration is : 00:00:01 734ms\n",
"This notebook ends here\n"
]
}
@@ -402,7 +402,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/LinearReg/02-Gradient-descent==done==.ipynb b/LinearReg/02-Gradient-descent==done==.ipynb
index 2ddbe8d3bb765c51da4f2064634f70f7bffc955d..68507d6f11e23b06d8f3b827ba295def43f6589d 100644
--- a/LinearReg/02-Gradient-descent==done==.ipynb
+++ b/LinearReg/02-Gradient-descent==done==.ipynb
@@ -46,10 +46,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:01.842624Z",
- "iopub.status.busy": "2021-01-14T07:11:01.842302Z",
- "iopub.status.idle": "2021-01-14T07:11:03.232629Z",
- "shell.execute_reply": "2021-01-14T07:11:03.232241Z"
+ "iopub.execute_input": "2021-01-26T10:05:20.967077Z",
+ "iopub.status.busy": "2021-01-26T10:05:20.966762Z",
+ "iopub.status.idle": "2021-01-26T10:05:22.377782Z",
+ "shell.execute_reply": "2021-01-26T10:05:22.377376Z"
}
},
"outputs": [
@@ -128,12 +128,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : GRAD1\n",
- "Run time : Thursday 14 January 2021, 08:11:03\n",
+ "Run time : Tuesday 26 January 2021, 11:05:22\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -157,7 +157,7 @@
"output_type": "stream",
"text": [
"Version : 0.1\n",
- "Run time : Thursday 14 January 2021, 08:11:03\n"
+ "Run time : Tuesday 26 January 2021, 11:05:22\n"
]
}
],
@@ -191,10 +191,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:03.235242Z",
- "iopub.status.busy": "2021-01-14T07:11:03.234924Z",
- "iopub.status.idle": "2021-01-14T07:11:03.646303Z",
- "shell.execute_reply": "2021-01-14T07:11:03.645964Z"
+ "iopub.execute_input": "2021-01-26T10:05:22.380468Z",
+ "iopub.status.busy": "2021-01-26T10:05:22.380160Z",
+ "iopub.status.idle": "2021-01-26T10:05:22.786452Z",
+ "shell.execute_reply": "2021-01-26T10:05:22.786779Z"
}
},
"outputs": [
@@ -231,7 +231,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -245,8 +245,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "X : mean= 5.000 std= 2.887 min= 0.000 max= 10.000\n",
- "Y : mean= 94.953 std= 58.567 min=-100.958 max= 286.268\n"
+ "X : mean= 5.001 std= 2.885 min= 0.000 max= 10.000\n",
+ "Y : mean= 127.079 std= 73.298 min= -92.804 max= 333.932\n"
]
}
],
@@ -268,10 +268,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:03.650294Z",
- "iopub.status.busy": "2021-01-14T07:11:03.649859Z",
- "iopub.status.idle": "2021-01-14T07:11:03.669216Z",
- "shell.execute_reply": "2021-01-14T07:11:03.668834Z"
+ "iopub.execute_input": "2021-01-26T10:05:22.790068Z",
+ "iopub.status.busy": "2021-01-26T10:05:22.789684Z",
+ "iopub.status.idle": "2021-01-26T10:05:22.810761Z",
+ "shell.execute_reply": "2021-01-26T10:05:22.811173Z"
}
},
"outputs": [
@@ -279,8 +279,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "X origine : mean= 5.000 std= 2.887 min= 0.000 max= 10.000\n",
- "X normalized : mean= 0.000 std= 1.000 min= -1.732 max= 1.732\n"
+ "X origine : mean= 5.001 std= 2.885 min= 0.000 max= 10.000\n",
+ "X normalized : mean= -0.000 std= 1.000 min= -1.733 max= 1.733\n"
]
}
],
@@ -304,10 +304,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:03.672533Z",
- "iopub.status.busy": "2021-01-14T07:11:03.672189Z",
- "iopub.status.idle": "2021-01-14T07:11:06.363778Z",
- "shell.execute_reply": "2021-01-14T07:11:06.363491Z"
+ "iopub.execute_input": "2021-01-26T10:05:22.814391Z",
+ "iopub.status.busy": "2021-01-26T10:05:22.814027Z",
+ "iopub.status.idle": "2021-01-26T10:05:25.830301Z",
+ "shell.execute_reply": "2021-01-26T10:05:25.829939Z"
}
},
"outputs": [
@@ -361,66 +361,77 @@
"output_type": "stream",
"text": [
" #i Loss Gradient Theta\n",
- " 0 +12.189 -6.690 -1.775 -3.278 +0.018\n"
+ " 0 +9.999 -6.000 -1.890 -2.940 +0.019\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 20 +5.551 -4.466 -1.185 -2.189 +0.307\n"
+ " 20 +4.516 -4.005 -1.262 -1.963 +0.327\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 40 +2.592 -2.982 -0.791 -1.461 +0.500\n",
- " 60 +1.273 -1.991 -0.528 -0.975 +0.629"
+ " 40 +2.072 -2.674 -0.842 -1.310 +0.532\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\n"
+ " 60 +0.983 -1.785 -0.562 -0.875 +0.669\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 80 +0.685 -1.329 -0.353 -0.651 +0.715\n"
+ " 80 +0.498 -1.192 -0.375 -0.584 +0.761\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 100 +0.423 -0.887 -0.235 -0.435 +0.772\n",
- " 120 +0.306 -0.592 -0.157 -0.290 +0.810\n"
+ " 100 +0.281 -0.796 -0.251 -0.390 +0.822\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 140 +0.254 -0.395 -0.105 -0.194 +0.836\n"
+ " 120 +0.185 -0.531 -0.167 -0.260 +0.863\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 160 +0.231 -0.264 -0.070 -0.129 +0.853\n",
- " 180 +0.221 -0.176 -0.047 -0.086 +0.865\n"
+ " 140 +0.142 -0.355 -0.112 -0.174 +0.890\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 200 +0.216 -0.118 -0.031 -0.058 +0.872\n"
+ " 160 +0.123 -0.237 -0.075 -0.116 +0.908\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 180 +0.114 -0.158 -0.050 -0.077 +0.920\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 200 +0.110 -0.106 -0.033 -0.052 +0.929\n"
]
},
{
@@ -449,7 +460,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -483,7 +494,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 576x288 with 1 Axes>"
]
@@ -508,10 +519,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:06.366958Z",
- "iopub.status.busy": "2021-01-14T07:11:06.366581Z",
- "iopub.status.idle": "2021-01-14T07:11:06.894218Z",
- "shell.execute_reply": "2021-01-14T07:11:06.893876Z"
+ "iopub.execute_input": "2021-01-26T10:05:25.833461Z",
+ "iopub.status.busy": "2021-01-26T10:05:25.833081Z",
+ "iopub.status.idle": "2021-01-26T10:05:26.381861Z",
+ "shell.execute_reply": "2021-01-26T10:05:26.381448Z"
}
},
"outputs": [
@@ -567,16 +578,16 @@
"output_type": "stream",
"text": [
" #i Loss Gradient Theta\n",
- " 0 +0.314 -7.285 -4.722 -0.016 +0.877\n",
- " 1 +0.127 -0.315 +1.544 +0.024 +0.852\n",
- " 2 +0.276 -1.804 +2.065 +0.025 +0.851\n",
- " 3 +0.196 +2.278 -0.588 -0.005 +0.855\n",
- " 4 +0.125 -0.103 +0.501 -0.012 +0.861\n",
- " 5 +0.261 -2.193 -1.318 -0.019 +0.862\n",
- " 6 +0.189 -1.075 -5.843 -0.015 +0.870\n",
- " 7 +0.135 -0.662 -5.560 -0.023 +0.873\n",
- " 8 +0.243 +5.518 -4.847 -0.012 +0.872\n",
- " 9 +0.170 +3.961 -1.732 -0.005 +0.888\n"
+ " 0 +0.202 +1.415 +5.935 +0.000 +0.924\n",
+ " 1 +0.067 -1.230 -1.037 +0.011 +0.935\n",
+ " 2 +0.116 +1.524 -0.550 +0.016 +0.972\n",
+ " 3 +0.087 -0.167 +0.018 +0.015 +0.975\n",
+ " 4 +0.091 -1.266 -1.868 +0.001 +0.964\n",
+ " 5 +0.038 -0.224 +1.789 +0.020 +0.959\n",
+ " 6 +0.170 -0.049 -0.280 +0.027 +0.945\n",
+ " 7 +0.073 -0.213 -1.968 +0.009 +0.948\n",
+ " 8 +0.077 -1.302 -1.537 +0.008 +0.954\n",
+ " 9 +0.099 +0.767 -0.024 +0.004 +0.950\n"
]
},
{
@@ -605,7 +616,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -639,7 +650,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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lvDv9SWCnp79M6APD84Me4zrb6UopT0n/mfTbh+18If0Z1Gcl+UGS35hxWdNGPDHJM0op/5b+uuvvpb+JyZlJdiZ59SbWDTdb9ozhpvHk9DfzOCP9iVovycTh4uHQ68OHZU5N8pwk56S/49Rrk/zxBrf3oiTPTX9J0O+kP/HpqvSXDX19njHOUmu9IsnJSd6a/qzw56e/5Olt6a8jvmKD4572tiSvT39nryek/748IP01zA+qtX5kk+uHmyW3wwSAxuwZA0BjYgwAjYkxADQmxgDQmBgDQGNiDACNiTEANCbGANCYGANAY/8PW/ZceN2JnbgAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 576x288 with 1 Axes>"
]
@@ -657,10 +668,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:06.896957Z",
- "iopub.status.busy": "2021-01-14T07:11:06.896553Z",
- "iopub.status.idle": "2021-01-14T07:11:06.900745Z",
- "shell.execute_reply": "2021-01-14T07:11:06.900449Z"
+ "iopub.execute_input": "2021-01-26T10:05:26.384871Z",
+ "iopub.status.busy": "2021-01-26T10:05:26.384502Z",
+ "iopub.status.idle": "2021-01-26T10:05:26.388120Z",
+ "shell.execute_reply": "2021-01-26T10:05:26.387789Z"
}
},
"outputs": [
@@ -668,8 +679,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:11:06\n",
- "Duration is : 00:00:04 672ms\n",
+ "End time is : Tuesday 26 January 2021, 11:05:26\n",
+ "Duration is : 00:00:04 015ms\n",
"This notebook ends here\n"
]
}
@@ -703,7 +714,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/LinearReg/03-Polynomial-Regression==done==.ipynb b/LinearReg/03-Polynomial-Regression==done==.ipynb
index 73716b9c617ca07ab73a01ae1ed38540bf96aaf5..eead9bc0fa3cca13252acc5f3eb057ac18a8ebd0 100644
--- a/LinearReg/03-Polynomial-Regression==done==.ipynb
+++ b/LinearReg/03-Polynomial-Regression==done==.ipynb
@@ -27,10 +27,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:07.865209Z",
- "iopub.status.busy": "2021-01-14T07:11:07.864885Z",
- "iopub.status.idle": "2021-01-14T07:11:09.185133Z",
- "shell.execute_reply": "2021-01-14T07:11:09.184748Z"
+ "iopub.execute_input": "2021-01-26T10:05:27.355095Z",
+ "iopub.status.busy": "2021-01-26T10:05:27.354782Z",
+ "iopub.status.idle": "2021-01-26T10:05:28.757497Z",
+ "shell.execute_reply": "2021-01-26T10:05:28.757178Z"
}
},
"outputs": [
@@ -109,12 +109,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : POLR1\n",
- "Run time : Thursday 14 January 2021, 08:11:09\n",
+ "Run time : Tuesday 26 January 2021, 11:05:28\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -148,10 +148,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:09.193342Z",
- "iopub.status.busy": "2021-01-14T07:11:09.192895Z",
- "iopub.status.idle": "2021-01-14T07:11:09.480766Z",
- "shell.execute_reply": "2021-01-14T07:11:09.480483Z"
+ "iopub.execute_input": "2021-01-26T10:05:28.764638Z",
+ "iopub.status.busy": "2021-01-26T10:05:28.764204Z",
+ "iopub.status.idle": "2021-01-26T10:05:29.063702Z",
+ "shell.execute_reply": "2021-01-26T10:05:29.063371Z"
}
},
"outputs": [
@@ -207,7 +207,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -231,8 +231,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "X : mean= +0.0861 std= +2.8096 min= -4.6939 max= +4.9015\n",
- "Y : mean= -2806.4826 std= +4822.4781 min= -23157.5333 max= +4297.1028\n"
+ "X : mean= +0.2036 std= +2.8703 min= -4.9925 max= +4.9840\n",
+ "Y : mean= -747.1936 std= +3234.4475 min= -14069.6782 max= +4809.4644\n"
]
},
{
@@ -251,8 +251,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "X_norm : mean= -0.0000 std= +1.0000 min= -1.7013 max= +1.7139\n",
- "Y_norm : mean= -0.0000 std= +1.0000 min= -4.2200 max= +1.4730\n"
+ "X_norm : mean= +0.0000 std= +1.0000 min= -1.8103 max= +1.6655\n",
+ "Y_norm : mean= -0.0000 std= +1.0000 min= -4.1189 max= +1.7180\n"
]
}
],
@@ -335,10 +335,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:09.484770Z",
- "iopub.status.busy": "2021-01-14T07:11:09.484449Z",
- "iopub.status.idle": "2021-01-14T07:11:09.486798Z",
- "shell.execute_reply": "2021-01-14T07:11:09.486466Z"
+ "iopub.execute_input": "2021-01-26T10:05:29.067643Z",
+ "iopub.status.busy": "2021-01-26T10:05:29.067330Z",
+ "iopub.status.idle": "2021-01-26T10:05:29.069603Z",
+ "shell.execute_reply": "2021-01-26T10:05:29.069276Z"
}
},
"outputs": [],
@@ -362,10 +362,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:09.510076Z",
- "iopub.status.busy": "2021-01-14T07:11:09.500879Z",
- "iopub.status.idle": "2021-01-14T07:11:09.782362Z",
- "shell.execute_reply": "2021-01-14T07:11:09.781988Z"
+ "iopub.execute_input": "2021-01-26T10:05:29.084919Z",
+ "iopub.status.busy": "2021-01-26T10:05:29.084320Z",
+ "iopub.status.idle": "2021-01-26T10:05:29.413394Z",
+ "shell.execute_reply": "2021-01-26T10:05:29.413037Z"
}
},
"outputs": [
@@ -390,7 +390,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -421,10 +421,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:09.789919Z",
- "iopub.status.busy": "2021-01-14T07:11:09.789590Z",
- "iopub.status.idle": "2021-01-14T07:11:10.087761Z",
- "shell.execute_reply": "2021-01-14T07:11:10.087473Z"
+ "iopub.execute_input": "2021-01-26T10:05:29.427093Z",
+ "iopub.status.busy": "2021-01-26T10:05:29.418672Z",
+ "iopub.status.idle": "2021-01-26T10:05:29.766104Z",
+ "shell.execute_reply": "2021-01-26T10:05:29.765735Z"
}
},
"outputs": [
@@ -449,7 +449,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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81sF1hctYuVsycGs6Ou2XyURvqulM4fbY7a6y68Ltrq7DtnPpLpav3ca2fcN051NsyHSxu28KV7zwFNJdXaOf57DnzhT2dZXdTkMqw6NP72Bw/Rr6R/LkUilywyl2PrGTXzw4jfNOmxv9HwrBvzTHadmFiT7Q8oUDi7Lb5A8ddGRyOW668hR+8fhWntq6h5NnT+ack2aSeXp96SAlmy383Ao/u0M/x5GyOVMPluZOPTR/amGlr4MHC7cL+4aKU0iVTR/VrF7YSnR1l81+UD5ArDhgbProxQym9kX3jXEJXbWfRp+NGdtBMTSSY9OO/Syc19ecM2WpFMw+Prqc/eLS/lwWtmyCpx+PZqh4an102bHt8OfIjsCT66LLj/8z2tc9CU5eGIXiUxdFpRzHzWup+naDsNTqctloap0d26IBDsXrXTtgzy4ye3exbPdOllU4t+jiwuUwMWebdHGC+3o+J/DSsTt3ABtqe95zgL8b7wufre15K5EBzitcOsaknsI0XdOi5WqnTJt4udpiT27xMqmnpT5U1ZkafTamZev/0xmYd1J0efFFpf17dkXBeMM62LAmumzddPjjhw8eXnc8bQb85b81dFGQahiEpbjl81HQ3bopqt3aWhj5u61w2bk9OhXdAoZJk02lyZMilU7T09NN6lDPJ0T/FEokDlVKFHs5iyUUOfK5PPlCqUW6Tj3NarJJPYWFEwoLJRxaSKE3CrPFxRXKrydPjb42eQr0ToUphfu1YV2hkqXRU4q1Xf3/9Blw5gujS9H+vbBhbRSKn1gDj6+KZrYYq/h+0CIMwlKz5PPRtDbPFAcnbCgNUqjXKPZMJjr1W+xFm1zoWZs6rTSXZU8vuUm9rNtxkI37ssw9fhbPO3UumUmTohWfuidFS5x2TYKuqDRg+brt/MVtDzM4UgqtxZWdjqW34rDigFyuVINcXotcPL2fy44u0xgZGX36f9R1qSTg8U07uPuhDeSzI2TyObrzOXrSeS5cdDzz+3oOf/zY71PejrK25bM5Nj+7h+HhEdK5HOkU9GRSzJ7SzcHhEbIjWbrS0J1OkSqUN4yMZBk8OFLYLr0QPV0ZujKp6MCheDBxqMY6VSqxSKei3plUqlB6MUEZSTod3e7qHl0u0hVdcplu7l+7nS37RjiQT5HPdDNr5jRevex00pN6Cit+9US/A5N6ylYFK7tdthKYU+EpKRo5hVvL1P/XYso0OOPc6FK0a0dUR/z4r0uXU58XVwvHZRCWGiGbhc1PwZNro3qpDWujuqoD+47t+abNgFlzoonQZx0XXfpmRaPUp80ojVavcG7RNHB64VKJdVv2MjQyuue2rqft0oVQV+e3pJNzedYePHxQ2+tvWBoFy2OUAuaOWcL1hQuO58Nf/tmEA+i+et8abvnRavJjnufQ3KBN8rPVA3xq40MMdpUtV5vOcNxJ1R/UxD0DidQMzTjY69hFLGbMghcsjS5QWmmvhRiEpXrYsxPWPhbVQa19JAq+VQwo2p+axLNT5zB/0QJSx59QWC++PxpUMGdu7KeO2+60XUEjP1zG9g4tXz1wxNk4mvUaHu1Du561iJ0yFZ40kWYe7LXCoiENV1xpr4UYhKVj8exWePQhWP3LKPwObKzscVOnw/xTGJhyHLc/nWN9eiYbumezPTOV3kldfOSKYys1aLR2Pm3XrA+XowXMZryGlXxo1zOQt+wAn3FYwqFj0e4He/7eH51BWKrEgX2w6hfw2EPw6M9h89NHf8ys46LJxk9eGF2euzDal0px931r+OaO0afJWzVAQAeftqujowXMZryGlXxo1zOQt8uZAks4dKza6WBvLH/vK2MQliYysBEe/ml0WffYkWdu6OqOgu7CM+G0wmXGrAnv3i4BolwiTtvVoJKA2ejXsJIP7XoG8nY5U9DuvXqKTzu+Vxf5e18Zg7BUlMtFU748/FN4+IFodoeJdHXD6WdHo2NPPztaRaeKOt52CRCqXCv0mlf6oV1rIC8/3Xrt+adwbR6e2LqnZc8UtHOvnqpXz3KAdn6v9ve+MgZhJVs+H83msOIe+NmPxl8tp+jkhXDmedFl4VnRVFLHqBVCk+ov7l7zVqlDbjXt3Kun6tT797Od36v9va+MQVjJtH0AVvwQlv8wWkt9PN2T4KwXwrkXwPPPj6Yoq6O4Q5M6T6vUIbeadu7Vq1bSB0c14vezXd+rk/R7XwuDsJJj+CA8+ONoDfTVvxz/PtP64PlL4byXRCvm9PQ2t41SjRr9ob1m065RPUzQ+qdb27lXrxrt2Ftfb5YDlCTl975WBuEESWxPwcAzcN+dcP9/wd7dh399Ug+cdwEsuxzOOC9agUvSYbK5PPev2nzY/kld6ZY/3dquvXrVaMfe+nqzHGC0JPze18pP/IRIXE9BNgu/WAH3/gc88vPDv55KR2UPSy+LQnDv5Oa3UXWT2IO8Jlu5dgubduw/bP+Js6d6urUF2BtqOYCqZxBOiMT0FBwcgvvvgru+BVs3Hf71OXPhklfDS18BM2Y3v32qu8Qd5MVovKAFcOEZJ/hatwB7Qy0HUPUMwgnRbj0FVffw7dsDP7wDfvAd2LNr9NdSKThnCVz6Gjj7xZDONLbxaqrEHOS1gPGCVm93hoXzkhO0Wpm9oRHLAVQNg3BCtFNPQVU9fDu2wV3fhPu+B0ODo782dXrU+3vxq+C4ec37D6ip2u0gr50ZtFqbvaFS9QzCCdFOH2AV9fDt2QXf+1rUCzx8cPQTzD4eXvGbcOErrf1NgHY6yGuGRtZLG7Ran72hUnUMwgnRTh9gR+zhe840+K/bohrgwTGDduafAle+HpZc6swPCdJOB3mN1ox6aYOWpE5iWkiQdvkAG6+Hb3omzwVPPgDfvPPwKdBOOR2ueQucc35UD6xEaaeDvEazXlpSK2rlmX0Mwmo5o3r4Do5w2cHHefeOnzBr/ZhBcCeeDK99ezT9mQG4Jq38JlWJdjnIq8ax/Eysl27/32Wp07T6zD4GYbWcYg/fr5Y/RP/3bmbe5tWj73BcP1zzVlh2mTNA1EGrv0kl0bH+TFq1XrpZ4dTfZan1tPqZKoOwWs/+fWRu/yIvuOc7kMuV9k+bAdfcEM0C0dUdX/s6TKu/SSXRsf5MWrFeupnh1N9lqTFqOZht9TNVBmG1jnweHrgbvvF52LOztD+dhkuvgmvfGk2Jprpq9TepJDrWn0kr1ks3M5z6uyzVX60Hs616pqrIIKymG/fIcsdW+MKnD18OedE5cH0AJ50aS1uToNXfpJKolp9Jq9VLNzOc+rss1V+tB7OteKaqnEFYTTX2yLK3K83b0mv5jSfvITV0oHTHWcfBG94FSy52IFyDtfqbVBJ10s+kmeG0k143qVXUejDbimeqyhmE1VTlR5bzhnfxB5vv4dyhp0t3SKXgitfCtW9zMYwmafU3qSTqpJ9JM8NpJ71urcpZOZKnHgezrXamqpxBWE21bvNuDh4c4Zo9v+C3dz5Ab36k9MV5J8E7/hAWnhlfAxOqld+kkqpTfibNDqed8rq1ImflSKZOP9NiEFZTPa8PPrHtP3jx/icO7cuSYuD8V3HiO94Dk3ria5ykhjCcdgZn5UimTj/TYhBW8zz2MC+65a9J7X/20K4Nk+Zw+1mvI3jn66BD/qgkqRM5K0dydfLBrEG4DbVdjVY2C3d8Ee78Cql8/tDuR896GXte+WaCxfNbu/2SJGflUEcyCLeZtqvR2r4FPvdXsOaR0r7pM+C3/y9nnv3i+NolqSna7sBdE+r0WlElk0G4zbRVjdavHoTP/iXs31vat/hceOf/hZlzYmuWpOZouwN3HVGn14oqmQzCbaYtarTyefj+N+Cb/wb5whLJ6TRc81Z49RshnYm3fZKaoq0O3FWRTq4VVTIZhNtMy9doHRyCL/wdLL+ntG/WcfDuD8PpZ8fXLklN1xYH7pISzSDcZlq6RmvHNvjMx+GJNaV9C8+E9/0xzJgVX7skAc2v1235A3dJiWcQbjMtW6O17lEIPwG7dpT2XXQlXB9A96T42iUl0HiBF2h6vW5LH7hLEgbhttRyNVrL74Gb/18YGY6202l403vhsqujJZPLOIJcqsyx/q1MNEDt2vNPaXq9bsseuEtSgUFYtfn+N+DrnyttT+uD934UFr/gsLs6glyqTC1/KxMNUJv16KZY6nVb7sBdksqk426A2lQuB1/97OgQfOJz4aN/P24IhtEf0HlG90g1UjaXZ/nqAW69bw3LVw+QzeWP/iApRrX8rUw0QC1FVJ9bznpdSUlnj7CqNzIM//a3sOKHpX2LzoH3/ylMmTbhw+IYQV5tz5qlG2oFtfytTDRA7aIzTuDZvUPW62pcvvcpqQzCqs7gfvinP4dHfl7a98KXwrs+dNRBcXGMIK9mHlNLN9QqavlbmWiA2tJF/Sxd1G+9rg7je198PACJn0FYldu9E/7uj2FD2fRol7wGbggqWiQjjhHk1fSsOfm/WkUtfytHG6Bmva7G8r0vHh6AtAaDcIeq+1Hmzu3wqQ/B5qdL+659K1x1/WEzQ0wkjhHk1fSsOfm/WkWtfysOUFM1fO+LhwcgrcEg3IHqfpS5czt88oMwsDHaTqXhrb8LF7+q6qdq9gd0NT1rTv6vVmKYVb0crWPE9754eADSGgzCHaiuR5k7tkU9wcUQnMnAuz8CL7qwzq1ujGp61pz8X1KnqaRjxPe+eLT6AUhS6pcNwh2obkeZz26NQvCWZ6LtTAbec2M0OK6NVNqz1ujSjaS8qdSDr1WJr4VqUUnHiAufxKOVD0CSVL9ccxAOguA44CJgP3B3GIbZozxEDVaXo8xnt0blEFs3RduZTLRQxnkX1Lm1raVRp6OT9KZSK1+rEl8L1arSjhFLcZqvlQ9AklS/XPGCGkEQvC8IghVBEMwu2/ci4DHgG8B3gQeCIJha/2aqGsWjzN7uDCmgt9qjzMNCcBe89486PgQ3UlyLibQjX6sSXwvVqtgxUq6VTr8nXfEA5PqLTmfZov6WCMFw5AOoTlNNj/B1QD4Mw2fL9n0SmAX8G9APvAZ4L/A3dWuhqlbTUeauZw8Pwe/7KJz7ksY2usM5KKJyvlYlvhaqVSufflfravX65XqqJgifDtxZ3CiURFwCfC4Mw/cU9q0ArscgHLtjOs21fx98+o/HhOA/gnOXNaaRCZKkN5Va+VqV+FqoVq18+l2tK0kHUNUE4TlA+fm44oip28r2/Rh4R41tUhyGD8I/fgyeWhdtp9NRTbAhuC6S9KZSK1+rEl8L1YP1v6pWkg6gqgnCzwLHlW1fAuSAB8r25YHeOrRLzZTNwmf/Elb/srTv7b8P51kOUS9JelOpla9Via+FpLgk5QCqmiD8GHB1EAQfBbJENcMrwzAsr5w+Bdhcv+ap4fJ5uOXv4aGy45nX/za89BXxtalDJeVNpR58rUp8LSSpcSqeNQL4O+AE4GngKWAeEBa/GARBBrgQ+J96NlANdtvN8JPvl7Zf+Ztw5Rtia44kSVKzVByEwzC8nWhGiEeAXwP/JwzDL5bd5Qqisojvj/NwtaK7vgXf/Wpp+4Ir4PXvjK89kiRJTZTK5/NN/6ZBEOQBwjA82l3VKP/9E/inPy9tP38p/M6fRAtnSJIkdZZxB1dUUxqhTvHkWvj8J0vbC8+E93zEECxJkhJlwsFyQRCcXLi5MQzDbNn2UYVh+GTNLVNj7NwO//AxODgUbc89Ed7/Mehxsg9JkpQsR5o14gmi6dDOAFaXbR9N/ijPq7gcHILP/Bns2BZtT54Kv/txmObk/JIkKXmOFFi/QBRqd43ZVjvK5+Hmv4XHfx1tp9Pw3hvhhOfE2y5JkqSYOFguKe64Fb5zS2n7+gAuvya+9kiSJDWPg+US68H7RofgS6+Cy66Orz2SJEktoOIgHATBRRXe7/eOvTmqRTaXZ/nqAW69bw3LVw+QzeXhyXXwr39TutMZ58Kb3gspl2jVxMb9XZIkqcNUM6jtniAIPh6G4Z+P98UgCGYBNwNXEa1CpybK5vLceOsKVm3cydBwlp7uDOf29/Kx1f9OqjhDRP98eO9HocuxjJrYeL9Li+fP5KYblpJJewAlSeoc1ZRGrAU+HgTB3UEQzCv/QhAEFwAPA1cD365b61SxlWu3sGrjTgaHs+SBwYMjXPnw10lt3RTdoWdyNE3a1OlxNlNt4LDfpeEsqzbuZOXaLXE3TZKkuqomCL8I+CJwOfBQEAQvBwiC4CPAvcBc4P1hGP5mvRupo1u3eTdDw9lD26/b8zAv2beudId3/IEzRKgiY3+XAIaGs6wf2B1TiyRJaoyKz5GHYbgfeHsQBD8APgN8LwiCR4GziOYZvi4Mw180ppk6mtPm9dHTnWFwOMuZg8/w2zseKH3x8mtgycXxNU5tpfx3qainO8OCfuebliR1lqpnjQjD8AvAhwuPPRvYBlxsCI7XkoVzWTx/Jv2pIW7c9p90kQMgf+rz4I3vquv3ciBVZyv+LvV2Z0gBvYUa4SUL58bdNEmS6qqqeYSDIEgDnwA+BOwHfgFcADwGvCkMw19W+DzOI9wA2ZER9vzFh5i54REA8lOnk/qTz8Cc+gUYB1IlQzaXZ+XaLawf2M2C/j6WLJzrz1eS1M5qm0c4CILnAPcBHwF+Cbw4DMMLgY8CpwMrgiAI6tBQHaPMnV8+FIIBUu/8YF1DMDiQKiky6RTLFvVz/UWns2xRvyFYktSRqimNeJio9/efgGVhGK4GCMPwL4BLga3APwRB8K06t1GVePTn8B9fKm1f9WY4Z0ndv40DqSRJUqeoJgingdeHYfg7YRgOlX8hDMMHgBcAtwPX1rF9qsTe3dGiGcUyl8XnwjVvaci3Kg6kKudAKkmS1I6qCcLnhWE4YW9vGIY7wzD8DcCV5Zopn4db/h52bo+2p8+Ad30I0pkjP+4YOZBKkiR1iqoGy9WLg+Xq6IG74V8/Vdp+/8fg3GUN/ZYOpJIkSW1m3KDiWrvtbOtm+FLZwcTFr2p4CIbSQKpli/ob/r0kSZIapaogHARBCng98EpgPtAzzt3yYRi+rA5t05HksvCvn4TB/dF2/3y47j3xtkmSJKmNVByEgyDoAb5LNENECsgzups5X7ZfjfafX4c1hanS0mn47Q9CT2+8bZIkSWoj1QyW+xBwGfDnwPFEofdjwInA9cBTwFeASfVtog6zYQ1855bS9tU3wILnxdceSZKkNlRNEH4D8PMwDP80DMPtxZ1hGG4Ow/ArwOXAVcDv17eJGmVoEP7lryFbmMt3wWJ49ZvibZMkSVIbqiYInwbcX7adB7qLG2EYrgfuBN5Rl5ZpfLf9O2x+Krrd0wvv/CBkGjNVmiRJUierJggPA4Nl23uISiTKbQAW1NooTWDdY/CDb5e2r3sPzD0xtuZIkiS1s2qC8NNEM0UUrQZeMuY+5wHP1toojWNkGP7906XV4856EVx0ZaxNkiRJamfVTJ92P3BF2fa3gT8PguDzwLeIZpO4AvhSvRqnMt/9KjyzIbrd0wtv+wCkXMRCkiTpWFXTI/wl4NdBEJxS2P40sBL4LeB24H8D64AP17F9Atj4BNz5ldL2b7wD5riYhSRJUi0q7hEOw/Be4N6y7f1BELwUuBZYCDwB3BGG4f76NjHhctmoJCI7Em0vWAyXXx1rkyRJkjpBTUssh2E4AnyzTm3ReO65A9avim5nuuDtvw9pZ4mQJEmqVTWlEWq27QNw282l7de8CeafEldrJEmSOopBuFXl8/CFv48W0AA48bnw6uvibZMkSVIHMQi3quU/gEf+O7qdSkUlEV3dR3yIJEmSKmcQbkX79sDX/qW0/bJr4bQz4muPJElSBzIIt6Lv3AJ7dkW3Zx8Pr317vO2RJEnqQAbhVvPUevjhf5S2r3sP9E6Orz2SJEkdquIgHATB3EY2REQD5L4UQj4XbZ9xHrzwpfG2SZIkqUNV0yP8VBAEXw2C4PKGtSbpfnYvrPlVdDuTgTe/z2WUJUmSGqSaBTVWA28AXh8EwTrgn4GbwzDc3pCWJc3g/tED5K54LZx4cmzNkSRJ6nQV9wiHYXgOcCFwCzAf+CTwdBAEtwZBcHGD2pccd3wJdj0b3Z4xG666Pt72SJIkdbhUPp+v+kFBEMwA3ga8GzgLyBP1GP9/wBfCMNxxlMfnAcIwrPp7d6RNT8HH3gvZbLT9zg/CMitQJEmS6mTcWtNjCsLlgiC4AHgX8EagFxgCvgb8YxiGD07wGINwUT4Pf3sjPPZQtH36WfDBT1kbLEmSVD/jBqt6TJ+2HdgBDBa+ySSi3uIVQRB8OwiC2XX4Hp3r5/eXQnAqDdf/jiFYkiSpCaoZLHdIEATdwG8C7wEuJgrAq4FPADcD5wIfBK4BPgO8ufamdqDhg/C1z5a2L7sKnrMgvvZIkiQlSFVBOAiChUR1we8A5gBZ4NtAGIbhD8ruei9wbxAE3wCurEdDO9I9t8P2LdHtaTPg2rfG2x5JkqQEqTgIB0FwN3AZUe/vM0S9v58Nw/CZIzzsv4HfqKmFnWrvHrjzK6Xta26AqdPja48kSVLCVNMjfDnwQyAEvh2GYbaCx9xBFJo11p1fhv17o9v98+HiV8fbHkmSpISpJgifEYbhr6t58jAMfwX8qromJcDWzfDDO0rbr/st6Dqmcu3DZHN5Vq7dwrrNuzltXh9LFs4lk3bwnSRJ0lgVp69qQ7CO4LabYWQ4un3aGfDCl9blabO5PDfeuoJVG3cyNJylpzvD4vkzuemGpYZhSZKkMeoxfZqq8cRq+Nm9pe03vKtu06WtXLuFVRt3MjicJQ8MDmdZtXEnK9duqcvzS5IkdRKDcDPl8/D1z5W2X/hSWHjmYXfL5vIsXz3ArfetYfnqAbK5yhY9Wbd5N0PDo0u3h4azrB/YXVOzJUmSOlF9ClNVmV/+DH79i+h2Oh3VBo9RS3nDafP66OnOMFgWhnu6Myzo76vrf0OSJKkT2CPcLNksfOPzpe1LXg3zTjrsbrWUNyxZOJfF82fS250hBfQWQvSShXPr9/+QJEnqEPYIN8v9d8EzT0a3eybD1W8Z925HKm9Ytqj/iN8ik05x0w1LWbl2C+sHdrOgf/xZI5xZQpIkySDcHEOD8J1bStuvegP0zRz3rrWWN2TSKZYt6p8wNDuzhCRJUsTSiGb40Z2w69no9ozZ8PLXTXjXRpc3OLOEJElSxB7hRhsahO99rbR91fXQ0zvh3SstbzhWtZReSJIkdRKDcKPdcwfs2RXdnj0XLnzFUR9ytPKGWjizhCRJUsTSiEYa3A/f/3pp+6o3Q/ek+NqDM0tIkiQV2SPcSD+4HfYWFrM4bh5c8PJ420PjSy8kSZLahUG4Ufbvg+9/o7R91fXQ1RovdyNLLyRJktqFpRGN8oNvw/690e3jT4CXvCzW5kiSJGk0g3Aj7N8Ld32rtH31DZDJxNceSZIkHcYg3Aj/dRsc2Bfd7p8PSy+Ltz2SJEk6jEG43vbuiYJw0TVvsTdYkiSpBRmE6+2ub0bTpgGccDIsuTje9kiSJGlcBuF62rMrGiRXdM1bIG1vsCRJUisyCNfTPbdHSyoDzD8FXnRhrM2RJEnSxAzC9TK4H37wndL2a94MaV9eSZKkVmVSq5f7vjd63mB7gyVJklqaQbgehg+Onjf4yjc4U4QkSVKLMwjXw/J7YOf26PaMWXDBFfG2R5IkSUdlEK5VLgv/+fXS9hWvg+5J8bVHkiRJFTEI1+rnD8DAxuj25Klw6avjbY8kSZIqYhCuRT4P3/taafuyq6MwLEmSpJZnEK7FYw/BhjXR7e5JcMVrY22OJEmSKmcQrsV3y3qDL3wl9M2MrSmSJEmqTlfcDWhV2VyelWu3sG7zbk6b18eShXPJpFOlO6z/Nax6OLqdTsMrfjOWdkqSJOnYGITHkc3lufHWFazauJOh4Sw93RkWz5/JTTcsLYXh73219IAll8Dx8+JprCRJko6JpRHjWLl2C6s27mRwOEseGBzOsmrjTlau3RLdYdNT8PBPSw941RtjaackSZKOnUF4HOs272ZoODtq39BwlvUDu6ONu2+LZowAeP5SOOnUJrdQkiRJtTIIj+O0eX30dI9eIrmnO8OC/j7Yuxt++oPSF15pbbAkSVI7MgiPY8nCuSyeP5Pe7gwpoLdQI7xk4Vy473twcCi643NOg0XnxNpWSZIkHRsHy40jk05x0w1LWbl2C+sHdrOgvzBrRC4LP7yjdMcrXgup1ITPI0mSpNZlEJ5AJp1i2aJ+li3qL+188H7YsS26PX0mnH9JLG2TJElS7SyNqMbdt5VuX/qaaDU5SZIktSWDcKXWr4ouAF3dURCWJElS2zIIV+rub5dun38JzJgdW1MkSZJUO4NwJZ7dCv/949L2Fa+NrSmSJEmqD4NwJe79D8gWFthYdA6cvDDe9kiSJKlmBuGjGRqM5g4usjdYkiSpIxiEj2bFD6PV5ACO64dzl8XbHkmSJNWFQfhI8vnRU6Zdfg2kMxPfX5IkSW3DIHwkjz4EzzwZ3e6ZDBdeGW97JEmSVDcG4SMpX075pS+HKVPja4skSZLqyiA8kWe3wv+sKG1ffnV8bZEkSVLdGYQn8pPvQz4X3V78Apj3nHjbI0mSpLoyCI8nm4Uf/2dp+xKXU5YkSeo0XXE3oFVkc3lWrt3Cus27efGetTxvx7boC9NnwnkvibVtkiRJqj+DMFEIvvHWFazauJOh4SyLt95e+uJFr4Su7vgaJ0mSpIawNAJYuXYLqzbuZHA4S//wLs7bvwGAPCm46FUxt06SJEmNYBAG1m3ezdBwFoBX7X3k0Iuyaf4ZcPy8+BomSZKkhjEIA6fN66OnO0NXPsuVex89tH/P+S+PsVWSJElqJIMwsGThXBbPn8mlQ48zM3cAgJ09fSx8hUFYkiSpUxmEgUw6xU03LOXdkx4/tK/vFdeQ6XYsoSRJUqcyCBdkBp5mxlOroo10mvTFV8bbIEmSJDWUQZho+rRN3/76oe3885fCrONibJEkSZIaLfFBOJvL8ydf+AnTH/rRoX3/mj2NbC4fY6skSZLUaIkKwtlcnuWrB7j1vjUsXz1waDW541evZFpuCIBNXX3csX8OK9duibm1kiRJaqTEjAYbu3pcT3eGxfNncvbJs3n5rl8eut93p53N4EiO9QO7WbaoP8YWS5IkqZES0yNcvnpcHhgczrJq406m7RrgrKFNAGRJcde0M+jpzrCgvy/eBkuSJKmhEhOEy1ePKxoaznL6+p8d2v7Z5FMY7J3O4vkzWbJwbrObKEmSpCZKTGlEcfW4wbIwPLkrxelPPHhoe3jZy/jIkvNYsnAumXQqjmZKkiSpSRIThIurx5XXCF81eRs9e3dEd5g+g4uvey10JeYlkSRJSrTEpL7i6nEr125h/cBuFvT3cf49ny/dYenlhmBJkqQESVTyy6RTLFvUH80GsW8PPPzT0hdf+vL4GiZJkqSmS8xgucP87EcwMhzdPnkhPGdBvO2RJElSUyU3CN9/V+n2ha+Irx2SJEmKRTKD8MYn4InV0e2ubjj/slibI0mSpOZLZhB+4L9Kt89dBtOmx9cWSZIkxSJ5QXhkBH56T2n7AgfJSZIkJVHygvCvHoTdhbmDZ8yGs14Ub3skSZIUi+QF4fJBci+5AjKZ+NoiSZKk2CQrCO/ZCb9YUdq+0LIISZKkpEpWEF5xL2Sz0e3TzoB5z4m1OZIkSYpPsoJweVmEg+QkSZISLTlBeMsz8PQT0e1JPbDkklibI0mSpHh1xd2Appl7Ivz1F+CnP4DBAzBlatwtkiRJUoySE4QBZh0Hr74u7lZIkiSpBSSnNEKSJEkqYxCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSIhmEJUmSlEgGYUmSJCWSQViSJEmJZBCWJElSInXF3YBmyubyrFy7hXWbd3PavD6WLJxLJp2Ku1mSJEmKQWKCcDaX58ZbV7Bq406GhrP0dGdYPH8mN92w1DAsSZKUQIkpjVi5dgurNu5kcDhLHhgczrJq405Wrt0Sd9MkSZIUg8QE4XWbdzM0nB21b2g4y/qB3TG1SJIkSXFKTBA+bV4fPd2ZUft6ujMs6O+LqUWSJEmKU2KC8JKFc1k8fya93RlSQG+hRnjJwrlxN02SJEkxSMxguUw6xU03LGXl2i2sH9jNgn5njZAkSUqyxARhiMLwskX9LFvUH3dTJEmSFLPElEZIkiRJ5QzCkiRJSiSDsCRJkhLJICxJkqREMghLkiQpkQzCkiRJSiSDsCRJkhLJICxJkqREMghLkiQpkWJdWS4Igji/vSRJkpIhH4ZhauxOe4QlSZKUSKl8Ph93GyRJkqSms0dYkiRJiWQQliRJUiLFOlhOktQ8QRDcDLwdODUMwyfibY0kxc8eYUmSJCWSQViSkuMjwBnAxrgbIkmtwFkjJEmSlEjWCEtSDYIg+DZwLfCBMAz/YczXPgH8EfD5MAzfWcFzXQa8GbgQOAnoBtYBXwf+KgzDwbL7ngo8BOSA88Iw3FD2tanAg8Ai4PIwDH9U2H8z49QIB0FwDfB7wJnAbGA7sAb4ahiGYeWvhiS1F0sjJKk2/wt4EvhkEATnFXcGQfAy4EbgUeADFT7Xh4BXAA8D/wx8DjgIfAz4XhAEmeIdwzB8HHgnMAv4chAE5R0bIbAY+LNiCJ5IEATvBr5DFILvAP4G+C4wGfitCtstSW3JHmFJqkEYhs8GQfBm4EfAV4MgeCEwBfgiMAS8MQzD/RU+XQA8HobhqJq1sp7l1wNfLfve3wiC4J+A9wGfAD4SBMHbgLcB9xb2Hc17iML2C8Iw3DLm+x5XYbslqS3ZIyxJNQrD8AHgj4HTiXpyvwjMIyqXeKSK51k/NgQXfLpw/cpxvvaHwP8AHwqC4P1EvcFbgRvCMMxV+K1HgOFx2rOtwsdLUluyR1iS6uOvgEuB6wvbXw7D8HPVPEGhtvf3gN8gqu+dDqTK7jJ/7GPCMBwMguA6oprgfwDywOvDMHymwm97K1E5xCNBEHyVqGf7/jAMt1bTdklqR/YIS1IdFHpybyvb9elqHh8EQTdwD/D/AL1EJRB/AXy8cAHomeDhq4FfFG4/CtxV6fcNw/BviQbQPUlUy3wbMBAEwQ+DIHhxNf8HSWo3BmFJqoMgCE4HPgXsIJrJ4XNBEPRW8RTXAucD/x6G4TlhGL47DMOPhmH4MaJyiyP5MHABsA04i2i+4IqFYfiFMAyXAXOA1wCfBy4Gvh8EwdxqnkuS2olBWJJqFARBD1EP7lTgTUQ9uedQXa/wwsL1N8f52iVH+N4XAH8G/Bo4u3D98SAILqziewMQhuHOMAy/G4bhu4CbiaZSu6ja55GkdmEQlqTafQo4D/jrMAzvAv4UuB94TxAEb6zwOZ4oXF9avjMIggVE9ceHCYJgFvBlIAu8KQzDAeA6osFvXw6CYM7RvmkQBFeOmXqtqNgTXOmMF5LUdhwsJ0k1CILgtcD7gRVEU5wRhmG2MKXaw8C/BEHwYBiG64/yVHcAa4E/DILgHKLFMk4GrgLuLNwe618L+z8QhuHDhe/9P0EQ/G/gH4F/A645yvf9CjAYBMFPiMJ4iqgXeAnw38DdR3m8JLUte4Ql6RgFQXAyURjdBbw5DMOR4tfCMHyKaLGNPuArQRBMOtJzhWG4D7gc+BJRne8HgOcTzQX8lnG+9+8CrwVuH7uiXRiGnyEa9HZ1EAR/cJT/xoeBnwIvJJrH+LeIVrT7EHBZGIaHTasmSZ0ilc+PN2WlJEmS1NnsEZYkSVIiGYQlSZKUSAZhSZIkJZJBWJIkSYlkEJYkSVIiGYQlSZKUSAZhSZIkJZJBWJIkSYlkEJYkSVIiGYQlSZKUSP8//lwY7Ktb2QIAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -480,10 +480,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:10.091237Z",
- "iopub.status.busy": "2021-01-14T07:11:10.090859Z",
- "iopub.status.idle": "2021-01-14T07:11:10.408090Z",
- "shell.execute_reply": "2021-01-14T07:11:10.407799Z"
+ "iopub.execute_input": "2021-01-26T10:05:29.769494Z",
+ "iopub.status.busy": "2021-01-26T10:05:29.769119Z",
+ "iopub.status.idle": "2021-01-26T10:05:30.130202Z",
+ "shell.execute_reply": "2021-01-26T10:05:30.129864Z"
}
},
"outputs": [
@@ -508,7 +508,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
@@ -532,10 +532,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:10.411214Z",
- "iopub.status.busy": "2021-01-14T07:11:10.410713Z",
- "iopub.status.idle": "2021-01-14T07:11:10.414418Z",
- "shell.execute_reply": "2021-01-14T07:11:10.414686Z"
+ "iopub.execute_input": "2021-01-26T10:05:30.133242Z",
+ "iopub.status.busy": "2021-01-26T10:05:30.132751Z",
+ "iopub.status.idle": "2021-01-26T10:05:30.136155Z",
+ "shell.execute_reply": "2021-01-26T10:05:30.135833Z"
}
},
"outputs": [
@@ -543,8 +543,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:11:10\n",
- "Duration is : 00:00:01 231ms\n",
+ "End time is : Tuesday 26 January 2021, 11:05:30\n",
+ "Duration is : 00:00:01 380ms\n",
"This notebook ends here\n"
]
}
@@ -578,7 +578,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/LinearReg/04-Logistic-Regression==done==.ipynb b/LinearReg/04-Logistic-Regression==done==.ipynb
index 8f2122f0ede7746c7eb8956e0628b644d27c2f72..716b69321bca07fb1fee56085cfc215ca9fa161b 100644
--- a/LinearReg/04-Logistic-Regression==done==.ipynb
+++ b/LinearReg/04-Logistic-Regression==done==.ipynb
@@ -63,10 +63,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:11.438449Z",
- "iopub.status.busy": "2021-01-14T07:11:11.438123Z",
- "iopub.status.idle": "2021-01-14T07:11:12.802876Z",
- "shell.execute_reply": "2021-01-14T07:11:12.802490Z"
+ "iopub.execute_input": "2021-01-26T10:05:31.092132Z",
+ "iopub.status.busy": "2021-01-26T10:05:31.091737Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.511456Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.511069Z"
}
},
"outputs": [
@@ -145,12 +145,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : LOGR1\n",
- "Run time : Thursday 14 January 2021, 08:11:12\n",
+ "Run time : Tuesday 26 January 2021, 11:05:32\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -188,10 +188,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:12.810267Z",
- "iopub.status.busy": "2021-01-14T07:11:12.809885Z",
- "iopub.status.idle": "2021-01-14T07:11:12.819897Z",
- "shell.execute_reply": "2021-01-14T07:11:12.819592Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.525824Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.525417Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.530778Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.530443Z"
},
"jupyter": {
"source_hidden": true
@@ -305,10 +305,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:12.822855Z",
- "iopub.status.busy": "2021-01-14T07:11:12.822538Z",
- "iopub.status.idle": "2021-01-14T07:11:12.825080Z",
- "shell.execute_reply": "2021-01-14T07:11:12.824782Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.533468Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.533138Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.535563Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.535225Z"
}
},
"outputs": [],
@@ -334,10 +334,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:12.830573Z",
- "iopub.status.busy": "2021-01-14T07:11:12.830249Z",
- "iopub.status.idle": "2021-01-14T07:11:12.832790Z",
- "shell.execute_reply": "2021-01-14T07:11:12.832458Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.540859Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.540543Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.542768Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.542425Z"
}
},
"outputs": [],
@@ -357,16 +357,16 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:12.850073Z",
- "iopub.status.busy": "2021-01-14T07:11:12.846555Z",
- "iopub.status.idle": "2021-01-14T07:11:12.945412Z",
- "shell.execute_reply": "2021-01-14T07:11:12.945073Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.554568Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.554145Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.663500Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.663145Z"
}
},
"outputs": [
{
"data": {
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\n",
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\n",
"text/plain": [
"<Figure size 720x576 with 1 Axes>"
]
@@ -378,8 +378,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Dataset X : ndim=2 shape=(1000, 2) Mean = [4.9888 7.0105] Std = [0.9916 1.4667]\n",
- "Dataset y : ndim=1 shape=(1000,) Mean = 0.636 Std = 0.4811486256864921\n"
+ "Dataset X : ndim=2 shape=(1000, 2) Mean = [5.0079 6.9403] Std = [1.0209 1.5113]\n",
+ "Dataset y : ndim=1 shape=(1000,) Mean = 0.638 Std = 0.48057881767718397\n"
]
}
],
@@ -407,10 +407,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:12.949877Z",
- "iopub.status.busy": "2021-01-14T07:11:12.949469Z",
- "iopub.status.idle": "2021-01-14T07:11:12.954849Z",
- "shell.execute_reply": "2021-01-14T07:11:12.954552Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.669004Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.667291Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.672642Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.672312Z"
}
},
"outputs": [
@@ -418,10 +418,10 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "X_train : ndim=2 shape=(800, 2) Mean = [0. 0.] Std = [1. 1.]\n",
- "y_train : ndim=1 shape=(800,) Mean = 0.6425 Std = 0.47926375827930073\n",
- "X_test : ndim=2 shape=(200, 2) Mean = [-0.0122 -0.0446] Std = [1.0495 0.9943]\n",
- "y_test : ndim=1 shape=(200,) Mean = 0.61 Std = 0.4877499359302879\n"
+ "X_train : ndim=2 shape=(800, 2) Mean = [-0. 0.] Std = [1. 1.]\n",
+ "y_train : ndim=1 shape=(800,) Mean = 0.6375 Std = 0.4807221130757352\n",
+ "X_test : ndim=2 shape=(200, 2) Mean = [-0.0049 0.038 ] Std = [0.9706 1.0367]\n",
+ "y_test : ndim=1 shape=(200,) Mean = 0.64 Std = 0.48\n"
]
}
],
@@ -464,10 +464,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:12.958155Z",
- "iopub.status.busy": "2021-01-14T07:11:12.957780Z",
- "iopub.status.idle": "2021-01-14T07:11:13.138600Z",
- "shell.execute_reply": "2021-01-14T07:11:13.138263Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.675762Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.675386Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.862909Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.862573Z"
}
},
"outputs": [
@@ -485,7 +485,7 @@
},
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
"<Figure size 720x576 with 1 Axes>"
]
@@ -507,7 +507,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 720x576 with 1 Axes>"
]
@@ -536,10 +536,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:13.141960Z",
- "iopub.status.busy": "2021-01-14T07:11:13.141571Z",
- "iopub.status.idle": "2021-01-14T07:11:13.146942Z",
- "shell.execute_reply": "2021-01-14T07:11:13.146568Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.866773Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.866303Z",
+ "iopub.status.idle": "2021-01-26T10:05:32.872648Z",
+ "shell.execute_reply": "2021-01-26T10:05:32.872262Z"
}
},
"outputs": [
@@ -547,7 +547,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "convergence after 13 epochs took 0 seconds\n"
+ "convergence after 11 epochs took 0 seconds\n"
]
},
{
@@ -595,10 +595,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:13.150944Z",
- "iopub.status.busy": "2021-01-14T07:11:13.150106Z",
- "iopub.status.idle": "2021-01-14T07:11:13.587738Z",
- "shell.execute_reply": "2021-01-14T07:11:13.587310Z"
+ "iopub.execute_input": "2021-01-26T10:05:32.876192Z",
+ "iopub.status.busy": "2021-01-26T10:05:32.875518Z",
+ "iopub.status.idle": "2021-01-26T10:05:33.272501Z",
+ "shell.execute_reply": "2021-01-26T10:05:33.272160Z"
}
},
"outputs": [
@@ -606,12 +606,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Accuracy = 0.914 Recall = 0.959\n"
+ "Accuracy = 0.910 Recall = 0.945\n"
]
},
{
"data": {
- "image/png": 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\n",
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\n",
"text/plain": [
"<Figure size 1008x720 with 4 Axes>"
]
@@ -652,10 +652,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:13.591354Z",
- "iopub.status.busy": "2021-01-14T07:11:13.590874Z",
- "iopub.status.idle": "2021-01-14T07:11:13.594295Z",
- "shell.execute_reply": "2021-01-14T07:11:13.594652Z"
+ "iopub.execute_input": "2021-01-26T10:05:33.275889Z",
+ "iopub.status.busy": "2021-01-26T10:05:33.275414Z",
+ "iopub.status.idle": "2021-01-26T10:05:33.278960Z",
+ "shell.execute_reply": "2021-01-26T10:05:33.279326Z"
}
},
"outputs": [],
@@ -685,10 +685,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:13.598056Z",
- "iopub.status.busy": "2021-01-14T07:11:13.597585Z",
- "iopub.status.idle": "2021-01-14T07:11:13.772221Z",
- "shell.execute_reply": "2021-01-14T07:11:13.771908Z"
+ "iopub.execute_input": "2021-01-26T10:05:33.283085Z",
+ "iopub.status.busy": "2021-01-26T10:05:33.282708Z",
+ "iopub.status.idle": "2021-01-26T10:05:33.481623Z",
+ "shell.execute_reply": "2021-01-26T10:05:33.481251Z"
}
},
"outputs": [
@@ -696,7 +696,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "convergence after 1492 epochs took 0 seconds\n"
+ "convergence after 1713 epochs took 0 seconds\n"
]
},
{
@@ -735,10 +735,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:13.775582Z",
- "iopub.status.busy": "2021-01-14T07:11:13.774667Z",
- "iopub.status.idle": "2021-01-14T07:11:14.096530Z",
- "shell.execute_reply": "2021-01-14T07:11:14.096790Z"
+ "iopub.execute_input": "2021-01-26T10:05:33.485534Z",
+ "iopub.status.busy": "2021-01-26T10:05:33.484264Z",
+ "iopub.status.idle": "2021-01-26T10:05:33.815806Z",
+ "shell.execute_reply": "2021-01-26T10:05:33.816133Z"
}
},
"outputs": [
@@ -746,12 +746,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Accuracy = 0.923 Recall = 0.984\n"
+ "Accuracy = 0.955 Recall = 0.992\n"
]
},
{
"data": {
- "image/png": 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3rocrzOymm27iLW95CzAxkHnkkUdobm4GrP1UHnnkEdatW+fFMkVE6kI1vp80NzfzwAMPcNpppxV8H6mBzHnnncftt98OwLZt2xgeHmb79u28733vK3q9+VIgI54ajA+y6cgmRhgZt2M7QIIEI4yw6cgmZWYEgL0De5kXmUfjTY3Mi8xj78Dekt7/6173Ov785z8DsGfPHt7xjnfw6le/mje+8Y309PQAcODAAd7znvdw/vnnc/755xONRifcz/r16+no6OBVr3oVF1544YTbH3vsMS688EJWrFjB3Llz+djHPkYiYf39v//++znnnHPo6Ojg05/+NADxeJyrrrqKjo4OzjnnHL761a8C1m7KDz74ILfffjvPPfccS5YsYckSa5+dWbNmcfDgQT72sY+xd+9eLrnkEr761a+yZcsW5s+fz/z581mwYAEvvvhiSV9DERFf2LsX5s2Dxkbrcq9/308WL17MpZdeSnt7OytXrkyWrv3mN79h0aJFvPrVr+btb387zz//PABPPvkk5557Lq973ev41Kc+RUdHB2AFLG984xtZuHAhCxcu5Be/+AUAn/nMZ/j5z3/O/Pnz+epXv8pjjz3GxRdfzP79+7nyyivZvn078+fPZ8+ePXzmM59h7ty5nHvuufzjP/5jSV/TtEzTrPif1atXm6tXrzZFHv3ro+bth243bz10q/m53s+Zp9x+ihn4YsA85fZTzM/1fs689dCt5u2Hbjc3/3Wz10uVMnjmmWfyOn7unXPNwBcDJl2YgS8GzLl3zi16DSeccIJpmqY5MjJiXnrppeaPf/xj0zRN801vepP57LPPmqZpmk888YS5ZMkS0zRN8/LLLzd//vOfm6Zpmn/84x/N9vZ20zRN89///d/Nj3/846ZpmmZHR4e5b98+0zRNc2BgYMJj/vSnPzVDoZC5Z88ec2RkxHzLW95irl+/3vzzn/9s/s3f/I25f/9+c3h42FyyZIm5YcMG86mnnjLf8pa3JH/evs8PfehD5vr1603TNM2//du/NQ8cOJA8xvm98+uLL77YfPzxx03TNM0XX3zRHB4ezuv1yvA78+S9JNMfvceI1J9830/MuXNNMxAwTbAu5/r3/WTKlCnmn/70JzMej5sXXHCB+fOf/9w8duyY+brXvc7cv3+/aZqm+f3vf9/88Ic/bJqmac6bN8+MRqOmaZrmpz/9aXPevHmmaZrmX//6V/Oll14yTdM0n332WfPVr3518jGWLl067jHt751f9/f3m2eddZaZSCQyrjeXfN9jtCGmeKon1pPMxNy98W72D+zHNE32D+zn7o13s+bKNSRI0BPr0Y7uwu6Du0mY1t+XhJlg98HdRd/nSy+9xPz58+nr6+PVr341b33rWzly5Ai/+MUvuOyyy5LHxWIxAH7yk5/wzDPPJK8fGhqakNXo7Ozkqquu4r3vfS/vfve70z7ua17zGmbPng3A5ZdfzuOPP04wGGTx4sVMmzYNgJUrV/Kzn/2Mf/7nf2bv3r1ce+21LF26lLe97W0FP9/Ozk5uuOEGVq5cybvf/W5mzpxZ8H1JgYb64Zko7N0OwzEIhmD2fJjbae04LiLlt3s3jGbCSSSs74vk5fuJ/W+5/fjNzc3s2LGDt771rYCV2T/11FMZHBzkxRdf5PWvfz0AV1xxBQ8//DAAw8PDfOITn2D79u00NDTw7LPP5vX8p0yZwnHHHcdHP/pRli5dysUXX5zXzxdCgYx4yu6JATgwcCCZDjVNkwMDB5K3HeNYxdcm1WfO1Dn0HOwhYSYIGAHmTJ1T9H3aNc2HDx/m4osv5s477+Sqq66iubmZ7du3Tzg+kUjwy1/+kuOPPz7jfX7jG9/gV7/6FZs2bWL+/Pls376d1tbxJ6ipzZ6GYWScZNPS0sJvf/tb/uu//os777yTH/zgB3z729/O/8lilQgsXbqURx55hAsuuICf/OQntLe3F3RfUoB9u2HL/RCPw2hQznAMnn0S9myFRZfDzOL/XotIDnPmQE+PFcQEAtb3RfLq/SQUCiW/bmhoYGRkBNM0mTdvHr/85S/HHTswMJDxsb761a9yyimn8Nvf/pZEIsFxxx3n8plbGhsb+fWvf82jjz7K97//fb72ta+xefPmvO4jX+qREU8FCSa/ntYyLXlyZxgG01qmJW9roqnia5Pqs/HyjbRPbafBaKB9ajsbL99Ysvs+6aSTuP322/nKV77C8ccfT1tbG+vXrweswPq3v/0tAG9729v42te+lvy5dG9Oe/bs4bWvfS033XQTU6dO5U9/+tOEY37961/T29tLIpHggQce4A1veAOvfe1r2bJlCwcPHiQej3P//fezaNEiDh48SCKR4D3veQ//8i//wtatWyfc34knnuiq32XPnj2cc845fPrTn+a8885L1mpLBQz1W0HMyPBYEGMzE9b1W+63jhOR8tq4EdrboaHButzo3/eTdObMmcOBAweSgczw8DA7d+6kpaWFE088kSeeeAKA73//+8mfOXz4MKeeeiqBQIDvfe97xONxwP37y5EjRzh8+DAXXXQRt956a9rnU2rKyEhBBuODbI1tpSfWwzDDBAnSHmpnYWghzQ3Nru+nPdTOzthOEiRYtWwVd2+8mwMDB5jWMo1Vy1YBECBAe0ifGAvMbpnNzvDOst3/ggULeNWrXsX3v/991q1bx+rVq/nSl77E8PAw73//+3nVq17F7bffzsc//nHOPfdcRkZGuPDCC/nGN74x7n4+9alP8fvf/x7TNHnzm9/Mq171qgmP9brXvY7PfOYzPP3008nG/0AgwNq1a1myZAmmaXLRRRexfPlyfvvb3/LhD384ORBg7dq1E+7vmmuu4Z3vfCennnoqP/3pTzM+x1tvvZWf/vSnNDQ0MHfuXN75zncW+aqJa89ErUwMwP4BuHU9/KUfZrTC9ZfB9Bbr9meicMEl3q5VpNbNng07a+P9JJ2mpiYefPBBPvnJT3L48GFGRka4/vrrmTdvHt/61rdYtWoVJ5xwAosXL+akk04CIBwO8573vIf169ezZMkSTjjhBADOPfdcGhsbedWrXsVVV13FggUL0j7miy++yPLly3n55ZcxTTM5mKacjEylDOUUDodNsEaCiv/0Dfex6cgmEqP/2QKj/y2dvJRZwVmu7mswPsi6oXWMMJLxmEYaWTllZV4BkvjDrl27OPvss71eRsU99thjfOUrX0nWJftJht9Z9k0RKqxq32Puu8kqIwO48S54vh9MEwwDTm2Fm6+xbguG4IrPe7dOER+q1/eTQhw5coTJkycD8OUvf5nnn3+e2267zeNVWfJ9j1FpmeSl1OOSmxuaWTp5KY00Ekj56xggQCONLJ28VEGMiPifHcSAlYmxP0g0Tev75HHqCRSR8rH7bTo6Ovj5z3/O5z73Oa+XVDCVlkletsa2JgOYg4cPTigFm3rSVBIk2Bbb5nrK2KzgLFZOWcm22DZ6Yj0c4xhNNNEeamdBaIGCGKk5ixcvZvHixV4vQyotGBoLZma0js/IzHA07wbVEygi5fO+973Pk80ry0GBjOSlXOOSmxuaWTJpSc2MWC5VD1E9ME1zwgQvqU5elCLXlNnzrelkZsLqiUntkQEwAtZxIpI3vZ/4WyHvMQpkJC8al5xbuh6iYYbZGdvJrtiuvHqIat1xxx1Hf38/ra2tevOpcqZp0t/fn/c4TnGY22mNWB5JWI39dk+MU0ODdZyI5EXvJ/5W6HuMAhnJS5BgMpiZ1jItmZHRuGSLs4colR3YbDqyScMLRs2cOZN9+/Zx4MCB3AeL54477jhtoFmMKa3WPjGp+8iAlYlpaLBu16aYInnT+4n/FfIeo0BG8qJxydmVo4eolgWDQdra2rxehkjlzJwDy661Rizv3W419gebrHKyuZ0KYkQKpPeT+qRARvKyMLSQXbFdJEgw9aSprLlyzYRjAgRYEEo/Y7zWlauHSERqyJRWa58Y7RUjIlIUjV+WvGhccnbqIRIRERGpDAUykjd7XHJHqCPZC9NEEx2hDlZOWVnXjexBgsmvp7VMSzYcqodIREREpLRUWiYFqbVxyaWiHiIRERGRylAgI56pxb1W1EMkIjkN9Tua/WPWRplq9hcRyZtKy8QTfcN9rBtax87YzmRfib3XyrqhdfQN93m7wAKph0hEstq3GzbeYW2MORyzrhuOWd9vvMO6XUREXFEgIxXn3GvFnvBlS5BghBE2HdnEYHzQmwUWST1EIpLWUL+1h8zI8Pg9ZMD6fmTYun2o35v1iYj4jErLaoDfSrRqda8Vv/0eRKTCnolaG2EC7B+AW9fDX/phRitcfxlMb7Fufyaq0cwiIi4oI+NzfizRSrfXSsJMJPdaAZJ7rfiFH38PIlJhe7ePZWJuXQ/P90PCtC5vXW9dbyas40REJCcFMj7m1xKtWttrxa+/BxGpMLsnBqxMzOi/fZim9X3yOH/82yci4jWVlvmYX0u0ggSTwcy0lmnsH9iPaZq+3WvFr78HEamwYGgsmJnRamViTBMMw/o+eZw//u0TEfGaMjI+5tcSrfZQe3Ki16plq5jeMp2AEWB6y3Rf7rXi19+DiFTY7PlgjL7tXn8ZnNoKAcO6vP4y63ojYB0nIiI5KSPjY34t0aq1vVb8+nsQkQqb2wl7tsJIwmrsv/maicc0NFjHiYhITgpk8O+0Kb+WaNl7rWw6sonE6H+2wOh/ftprxa+/BxGpsCmtsOhya8RyPD5+BLMRsIKYRZdrU0wREZfqvrTMz9Om/FyiVUt7rfj59yAiFTZzDiy7Fs463+qZwbAuzzrfun7mHK9XKCLiG3WdkXFOm0plZwo2HdnEyikrqzI74PcSreaGZpZMWuL7Bni//x5EpMKmtFr7xFRqr5ihfmtvmr3brWEDwZDVhzO3U9kfEfG1ug5k/D5tqtZKtPxKvwcRqVr7dk8sZRuOwbNPWv06iy4vfxZIgZSIlEldBzLppk2ZppmcNrXmyjXJaVPVGMjAWInWttg2emI9HOMYTTTRHmpnQWiBTp4rRL8HEfFEtiABrCBmZHjiz5kJa+jAlvutkrZSBhSpa0pV6UBKRGpWXQcytTJtqlZKtPxOvwcRqahc2ZZT2qzbAPYPwK3rrY03Z4yOe57eYt3+TLR0ZW7p1pROOQMpEakbdR3IaNqUuOHXqXYiUsOG+nNnW/787Nh1t64f24Dz+X7r+5uvsY7du700gUy2NVUqkBKRulLXgUx7qJ2dsZ0kSLBq2aoJPTKgaVP1rm+4b0Lviz3VbldsF0snL/XVhDURqRHPRHNnW5z+MhrEgHX5l/6x24ZLVHWQbU0jcTgwWN5ASkTqTl0HMpo2Jdn4faqdiNSwvdvHSrcyZVucZrSOHWMY1ve2YImqDrKtyQ6ioHyBlIjUnboOZDRtqjxqpRTL71PtRKSGOZvos2VbbNdfNjFrA9ZGnLPnl39NYAVQ5QykRKTu1HUgA7U9barcAUW6+39F4yv408ifMDF9X4pVC1PtRKRGBUNjgUO2bIttesvELA1AQ8PYhLNyrmlaMzQ2lDeQEpG6U/eBDNTmtKly93Zkuv++kb60x/uxFKtWptqJSA2aPd+aTmYmsmdbTjsTXtg7cYqYEbCCmEWXl25iWK41pfbtQGkDKRGpOwpkalC5ezuy3b+tFkqxNNVORKrW3E5rxPJIInu25TVLra+T+7ocs0q5yrEhpZs12coRSIlI3VEgU4PK3dvh5v5roRRLU+1EpGpNabWCgHR7tqQLEi64pPyTwbKtycm5aaeCGBEpggKZGlTu3g43918LpViaaiciVW3mHGszyUpkW/y8JhGpWQpkalC5ezvc3H8tlGKVeqpdrUxzE5EqMqW1MtmWfFTjmkSkJgW8XoCUXpBg8utpLdMwDAOgZAGFm/tftWwV01umEzACTG+Z7ttSLHuqXUeoI/l6NdFER6iDlVNWuh6Y0Dfcx7qhdeyM7UwGgvbwhXVD6+gb7ivTMxARERGpTcrI1KBy93a4uf9aKsUqdqqdNtYUERERKT0FMjWo3L0dbu4/3ePV6waj2lhTREREpPRUWlYFBuODbD66mchAhNsGbiMyEGHz0c0MxgcLuj+7t6ORRgIpv+IAARppLCqgcHP/sxpnFVWKVUvSDUdImInkcAQgOXxBRERERNxRRsZjpdq4Ml0j+eym2RimQe9wL8c4RhNNtIfaWRBaUHRWxO4d2RbbRk+sp6D7r4fm98H4oDbWFBERESkDBTIeKlXvRKZg6A/H/pAs5ypHJqSY3pFSBXDVzH6OTrUwzU1ERESkGqi0zEOpvRNr713LDXfcwNp713Lw8EGAZO9EJs5gyDke2P7ZEUbYdGRTwWVq5eDHNecrU5BaK9PcRERERLymjEwZuC2Zcrtx5e9iv2NXbFfa+/BjI7kf15wvN8/RyY/T3ERERES85LtAptr7KvIpmXLbO5HtPtwGQz2xnqoJCvy45mzS/Z2ME8/5HG3FDl8QERERqUe+CmSqva8i356XIMFkMJOtdyLbfVSqkbyUAWQtNb9n+jvplCtI1f4xIiIFGOqHZ6KwdzsMxyAYgtnzYW4nTGn1enUiUgG+CWT8sKlgviVTuTaWdHMfboOhYhrJSx1AVmLNxXITuGX7O+mU6zkqiBERydO+3bDlfojHwRzttRyOwbNPwp6tsOhymDnH2zWKSNn5JpDxQ19FviVTuTaWXHvv2pz3kSsYguIayfMNIN0EAOVYcykzRm4DN7d9MOX4vYhImehT/uo31G8FMSPDE28zEzCSsG5fdq1+ZyI1zjeBjB/6KvItmbI3ltx0ZBNx4piY4+7PzX3kCoaguEbyfALItmCbqwAg3zXnClJKmTHKJ3Bz83cSKMvvRUTKQJ/y+8MzUet3BLB/AG5dD3/phxmtcP1lML3Fuv2ZKFxwibdrFZGy8s34ZT/0VQQJJr+e1jINwzAAspZMzQrOYvGkxWnvz8192MFQI40EUn6dAQJFN5K73ZV+R2wH3Ue6XY1UzmfNfcN9rBtax87YzuTfATtIWTe0jh0v7yjpKOd8RmLnM6wh23MUkSrg/JTfHP9vifUp/7B1+1C/N+uTMXu3j/2Obl0Pz/dDwrQub11vXW8mrONEpKb5JpApJEiotPZQe/LE3O1+IYPxQR47+tiEbEw+9zErOIuVU1bSEepIPv8mmugIdbByysqiBiC4PVl3BhFu9sRxs2Y3+81sfmkzceKuHzcXt4FbT6zH9d/JAIGS/15EpMRSP+W/8S64eq11uX/Aut7+lF+8NRwb+/ov/TD6voRpWt8nj6v+gTEiUhzflJaVuxekFAop88pVuuXmPtKVXs0JzWFBaEHRn/jnO1kN3Jf+NTc0s2TSkoylgG7K2pwBYClKDvPJ/J0TOsfV38mOUIcvxkiL1LV0n/Kbjk/5b75m7FN+lSt5KxgaC2ZmtI79rgzD+j55nHcfbIpIZfgmkCl3L0gpOHtenP0a9toCBCaUE7nts8h0H+UeSe0mgITxgUbCUZZRTOlfPq8NlKbkMJ+Jan74OykiLulTfv+YPd/qWzITVk9Mao8MgBGwjhORmuabQKaQIMELdsnUttg2emI9HOMYTTTRHmpPmyHJp8+iI9Qx7j4qMZLazck6jA80nIop/cu3B6UUo5zzyfz55e+kiLigT/n9Y26nNXxhJGE19t98zcRjGhqs40SkpvkmkIH8gwSv5CqZcsonA5B6f5UYSZ3tZN3JGWjYAkZgQuZmhBFuG7jN1XjkfMvaSlFymG+WxS9/J0UkB33K7x9TWq0JcqkT5sD6HTU0WLdr9LJIzTNSTz4rIRwOmwCRSKTij11tNh/dnMwAZApGMvVZRAYiyRN9554zhmEwvWV68iS8iSZWt6wuap2D8cEJJ+vDDCd7VLI9fibOrEW68rfNRzezI7YDEzPja2NgNdinG5Zga6Qxr6xUunI9N+sVqWOG1wtwKug9ZqgfNt6Rfm8SW2Ow/HuT+G0fGy/XO+6xj1nZsmp+rUSkUBnfY3yVkakmpdqAsZg+i0qOpE6XZXIGYdn6ZzLJVf72yuAreTr2NJB5LxYTk9cf93p+/fKvS1bepSyLSB2qhk/5/baPjdfrndJqDV7Q8AWRuqVApgClbLAvps/CbelVkCCbj24uya73Tm77Z2z5lr/9YfgPGBg5MzJHzCMlDzzyKQ8UkRoxc46VcfHiU36/7Vbvt/WKSE1SaVmeBuODrBtal7bB3pZvKZN9v/meiLspS7NLrwyMspRJ7Xh5B4++9KirY/Mtf6tk6ZyIFMX/pWVee+KhsR6dTLvVGwE46/zqyEC4WS9AIACJRPWXyIlINVNpWamUq8G+kAyAm4yI3TuS2kNSqqlm+xP7c2ZNbPmWv1WydE5ExFN+28fGzXrBCmKgukvkRMS3Al4vwG/y2fm93OyytEYaCaT8KgMEMEb/g9Lsep9OT6wnGSRlej1s01qmYRijGSIX45GDBAv+WRERX/HbPjZu1+tkJqxStC33W6VphRjqt7JB990E3/2sdfnEQ4Xfn4j4mgKZPFVblsBuTO8IdSRP6JtooiPUQSONOYOMYoOubK/HC4de4Prbr+f626/ni//+RS5dfCnTW6YTMAJMb5meHAhgYKQdj9weak8GaKuWrUr7s/mMVhYRqVrB0NjXM1qt/WugevexcbPe/QNw411w9Vrrcv+Adf3IMGy4Jf8gZN9ua7Lcs0+OBVJ2pmfjHdbtIlJXVFqWp3z2fSlEIdPQMpWl/S72u+TX5Qq6Mr0eqQZeHODBxx7MWP52RvCMCdcXM9HNj0o1CU9EfMhv+9i4WW+2kjPIr9xMwwVEJA0FMnnKZ+f3fJVyGhqUL+hKPeG2OV+PhHN06aj9A/tZe+/atAMJ9gzv4fTg6eOOL2aim9+U+ncvIj7jp93qh/rh2MtjPTKZ1uum5MxtEPJM1BrzDJmHC8Tj1nHV0EMkIhWh0rI8LQwtTJY72VmCW669hTVXrkk2theSJRiMD7LpyCZGGBl3wg5W+dcII2w6sonB+KDr+yykNGswPsjmo5uJDES4beA2IgMRNh/dnHzcvuE+1g2tY2ds57ggJvX1aAg0TFhPwAikLW8zMTOWt2UrnVs5ZWVNnNyX43cvIj5j72PTGLQyL05GwLq+Gnart8u7+p7OfWy6krNM5WZ2EJJJuuECCUemB8aGIYhI3VBGJk/OLEG6EcyNNBaUJSjHNLR8S7NyZQUWT1rMY0cfyzp62vaxd32Mr2/4ejIz03JiC4MvDo5NUcujvK3W93Qp1yQ8EfEZL/excSNbeVc66UrOCp3I5rdhCCJSEQpkCpQ6zjjX9bmkm4ZmmmYyc7HmyjXJxny3J7P5lGY5swKp7J999OjYfjG5Ri2fOfNMbrn2lnH3k7oXjCaPWcrxuxcRn6rm3erdlHdhWNkXM0OJXKFBSDA0FszMaB0LhlKHITQGrQECe7dbx2v/GpGaptKyPNkn/HHiaW+PEy+oDKiYaWjZysEylWadGTyT2U2zeeTII9w2cBv3DN2TDGIyjWo2R/+D3KOW09HksfSqbRKeiEhabsq7MMdK4VJL5KDwiWyz54/d3/WXwamtEDCsS3u4AAbERzTVTKSOKCOTp0LKgNxMo3LbmA9WCZjdG+K2SdxZmpXuZ5yZpExZAadsJ9wAzUYzg+bguOu8mjxW7dPAyj0JT0SkJNyWdyVG4LUr4NBzY5kRW6ET2dwMQ8AcW9O4qzXVTKRWKZDJk9syoN/Ffseu2C5e0fgK/jTyJ0zMrIHGiYETOZQ4BMCliy/lGz/6BnEzTsAIcOniS8etYdORTaycsjL5dbZyMPtY+4Q9WwmZLVeQArlPuD/U/KHk9+kCJ6jM5DE/TAMr5yQ8EfGZoX5Hj0yVlUa5Le8CePJhK2i44BLrOW28w+qtKXQimz0M4afrIJG+IiJJU81E6oYCmTy5LQOyj+0b6Ut7P6mBxlBiKHnbg489mGySjyfi3Pkfd3LKyadMyPg4gyO32SE3GaVcGSEgrxNuu7xtW2wbPbEejnGMJppoD7WzILSgoCDGTZbFTd9PaqDnhXrbL0dEMti328oaxONjJVz57LVSbun2jnn+IDQErKDmxrvSBw12EJL63MDKxDQ0uJvINmXqWFlaNoUOFBAR31GPTJ6CBJNfT2uZhjH6j2qmE35bpr4TO9Bwnmw7AySbsw/FbvxOlx1K7Vmxj7W5+ZlMvSzG6H+Q/+hpe/LY6pbVXNdyHatbVrNk0pKCAoh0I6DtLMu6oXX0DfcBE4O2bK+/l+yhDI00Jsdl2wIECp6EJyI+4pwIlroPl5mwrt9yv3WcV+Z2WkEHjGVWTp0K8cT4oMFes3MUsj2R7azzrcwOhnV51vnW9W4CtGeikBh9bTKNcQZNNROpIwpk8pRrb5ZMJ8y5Ao1MAZItXeN3IU3ibn4mU5DSQANvOv5Nnp5w57PnSiGBnlfqYb8cEcnimSiMjH6gVeheK+VmZ1ac8gka7IlsV3wePvQl69LO2LjhatgAhQ8UEBHfqbnSsnI3ducqA3KOGHb2zeQKNM4JncPTMWuDsVXLVvH1H32d/sNjbwgGE/tQTMy8m8QbaEhOXHNTQgbje1lmBWcxMzizpGVi+chn2ILfpoHV+n45IpLFH34D9tCVai6NmjkHGptgZPTfzWy9MqUOGtwOGyh0oICI+E5NZWTclhwVI1sZEGQ+Yc5WhtZEEwtDC5PfTz1pKo0N42PMQCCQLPECKzOUKzsE43tWBuOD47IYmX7G/jl7balZgVKWieUrnyyL2zJATQMTEU8N9Vtjg23VXhp1xoLco5DLETQEQ2NfZ8u62GVv315jXU5vsa7PNVBARHynZjIylWzsTte8bsuU5cjVHJ+6ptTBAaZpjttw0u5DyadJfGtsa/L6bBtaGhh8YMoHqrInI58syzmhczQNTESqn7NcbP8ABALjJ3NVW2mUm1HI5Qga0g0bSM26pJPPQAER8ZWaCWQK2d+lGM4yoM1HN+c8YXYTaLjdT6SRxmSQsXTyUtejjXtiPRM2tEy3V0wDDVUZxEB+e65oGpiI+IKzKf7W9VbzvK2xYfxJejWURpVqClm+XAVQjXD6PNjXY2Wvgk3VM75aREquZgIZt/u79MR6St6D4OaEOVW6QMPNfiIGBnNDc5P3k89oY7fZjGx7zHgtnz1X7DJAr/awERFxJVPvB1hTuuzSKKie0ih7Cllyz5sKBA1uAygvR1SLSEXVTCDjZWO3mxPmmY0zeW7kuayBhpuAqIGGCRkEt03itbCDfL5ZlnLsYSMiUlJuN5psCFZXVsGeQlbJ4QNeBFAiUrVqJpDx+iS9FCfM5c4g1MIO8oW8RpoGJiJVzU3vhxGAVy7MejdVa6jfEXjErMCtmMDDiwBKRKpSzQQyXp+kpxv7PCc0J+9P/cuZQaiVnpFayLKUe0y4iPiIV83zlbBv98RSsOGYFbjt2apSMBEpipG6g3wlhMNhEyASiZTsPgfjg6wbWpe1v6ORxpJMLUvVN9yXM0NQLRsa+mmttSrT78DWSCNnh85WUCN+YuQ+pHLK8R5TdulO+MHfvR9D/bDxDhgZznxMY9AqFVNJmIhklvE9pqCMTDgcbgY6gQHgl5FIxHTcdgLwD5FI5KZC7rtQXjV2l2Psczk/ra+FbIafZfv7YhthhB2xHeyK7VJgKXWpGt9jyq4Wez+eiVqBGVhjpVNL5qa3WLc/E/WuTKzUZW8iUlF5BzLhcHge8BNgGtaGmlvD4fB7IpHIH0cPmQx8Aaj4m0ylTtJTAw1bKcY+p/u03t7Us1QntuoZ8Y6bMeEAJiYjjJRs7yMRv6jm95iyq7Xej73bx7JLt64fG2LwfL/1/c3XWLfv3V6a55xvUKKyNxHfm7g1fW5rgV8CJwGvAPYC0XA4fGYpF1aocu863zfcx7qhdeyM7RwXxEDuneZzcX5an1pylCCRPLEdjA+W5LlI5aUbE54wE7xw6AXWfm8tN9xxA2vvXcvBwwcBkkGwSB2p6vcYyUOmsdKmaX2fPK4E00T37bbK2J59cuxx7aBk4x3W7U5D/VYQMzI8vpQPrO9Hhq3bh/oRkepVSGnZBcCSSCTyV+CvwHvD4fAtwGPhcHgJcLiUC6wmucqCih37XOlNPf3Mr83ymcaEA8RHd/KuxN5HIlWsbt9jao7bsdLBIqeJOoOSVGbCGqKw5f7xvTh+KHsTkZwKyciEgHETAiKRyA3AD4AtwNklWFdVSg001t47/hP0aS3TMAyrH6mQsc+ZPq0vJLtTy9Jlxezyu3VD6+gb7vN2gVkECSa/dv59carE3kciVaxu32Nqzuz51rACsIKDU1shYFiX9lhpsIKd+26CJx4qLAOSGpTceBdcvda63D9gXW8HJbZ0ZW8JR9kbjJW9iUjVKiSQ2Q2cl3plJBL5e6w3mu5iF1WtcgUaq5atYnrLdAJGgOkt0/Me++zlpp5+4ffyu/ZQO4HR/+2cf18aAg0YFB4El8tgfJDNRzcTGYhw28BtRAYibD66uWpfX6kJdfseU3PmdloT12BsrPS311iX01vGH5utDCyXQoKSSpa9iUjZFBLIbAAuT3dDJBK5DriXKhvFWSq5Ag17b5Zbrr2FNVeuSTZuu92bJdOn9dV0Yuu1XFkxqO6+koWhhclAZtzflw+sYfrJhQfB5eDnzJf4Wt2+x9ScKa1Ww3xjcCwzk02hvSmFBCXB0NjXM1qtcjcofdmbiJRV3j0ykUhkLVYzZqbbPw58vJhFVasgweQJ3bSWaewf2I9pmhMCDVu+Y59LtamnF/0jlXrMdFkx0zR901fiHBPu7LWqtg1KyzFWXMSNunuPqZXxv9mex7ix0o6go1S9KYX04syeb2WAzIT1uKnrACv4mj2/4JdERMovZyATDodvjkQiN1ZiMeVUihNtN4GGrZCxzwtDC9kV20WCRMEntpUY3+zlY9ZC+d2s4CwWHb+IzS9txhzfCpBkYNBAQ1n2PnJDgyekUmrlPaYgtTL+N9fzOP/i9D9XqpHMhQQlczuttY0kxsreUjU0WMeJSNVyk5H5TDgcbolEIqvLvpoyKdWJtptAo5HGjJ9S5wqmit3U04tP0Sv9mG6zYtVcfjcYH2TLS1syBjG2ZZOXcXrw9Aqtajy/Z77EV3z/HlOQQiZtVSM3z+OXG7CqAVP+zStVb0ohQYld9pYagIEV9DQ0WLdX82svIq56ZO4B/i4cDt8XDofTBj7hcLgzHA7/orRLK41SNofbgUYjjck+B1uAAI00Zgw03PYb2Jt6doQ6kifjTTTREepg5ZSVWQMuL/pHKv2YmZrlq6WvxA03r5mBwZ7hPZ6tsRYyX+Ibvn6PKVghk7aqkZvnAUwIYqB0vSnZenGMgHV9uqBk5hwrUDzr/NGeGcO6POt863o/ZMNE6lzOQCYSiVwFfBV4P9AdDoePs28Lh8NnhcPh/wB+Bry2XIssRqlPtAsJNPIJpuysza7YLo5xjCBB5oTmuCpR82J8c6UfM2OzfAHDFbzihzHbGjxR26ppGp3f32MKVivjf908D0gf5GQayVxIb0qhQcmUVquE7YrPw4e+ZF1ecIkyMSI+4arZPxKJ/EM4HO4HvgT8dzgc/ihwHfBRIAg8BUyss6oC5SiRaW5oZsmkJa6Pd9tvsOXoFvaN7Cu4BM6LT9Er/Zh2VuzhIw8TJz7hdi/7StzyQ7ajVIMnpPp40UeXi5/fYwpWK+N/3T6PTP0wpexNsYMSbWApUjdcTy2LRCI3h8Phw8AdwK7Rq3cD/xyJRH5YjsWVQjWcNLoNpvpG+tL+vNteEy/6R9w+ZoAAkYFIySaaGRmmr2a6vpr4oc+n0METXkzME/eqeRqdX99jClapXe/Lze3zyBbk2ArpTamVqW8iUhBXgUw4HDaADwD/MHqVATwPvDESiRSwDW/lVMNJo9tgylbolCgvPkV3O8mtVJ/+ZjsRAxhhhIeOPEQDDYwwUpUn0n7IdhQyeKIaP+mX8ap1Gp2f32MKVivjf908D8ge5AA0NsEJzfDXQXj0HncBSa1MfRORghn2SXUm4XD4XVjp/rOBGHArcAD4CvA08LZIJLI/nwcNh8MmQCQSyXvB+dp8dHPypDHTG3eAAB2hjrK9cduZCIC1964dF0xNb5k+4dPubMc00cTqlvTDfQbjg6wbWpfxJB+yT1UrhJvHzCbf9bj5faZynniX4kS62KyDF7+nQg3GB9kW20ZPrIdjHMs4VtxPz6meuf23KNu/MxkUnAr1+3tMwYb6rV3s0037sjUG/TG1LNfzgMx7xhgBOO1MeGFv9ulhqQFJpV8/LzM/e/fCsmWwezfMmQMbN8Ls2eV9TJHqkvE9xk1G5j+ABNZkmc9FIpE/A4TD4b8A3wGi4XD4rZFIpK/4dZZeKfZmKVY++89A4SVwxY5vLkS2x3Qq1ae/bsr0UpWyZKYUWQcvfk+FctsPVq2f9Mt41VBqm4av32MKVivjf3M9D/v7TGORAwH4yx6Ip/kQJNsY6tRpaaXYWDOTTJmf3b+ysj8XLIezzivuMbJZtgx6eiCRsC6XLYOdO8v3eCI+4mb88v8ACyORyIftNxiASCRyP7ACOA14PBwOzyvTGotSzMjkUnEzacs5Uc2eEAX5T4lqDjRzRvCMcdcFCHBm05k5xzcXKtMkN2e/Sqmmc7k5ESvXGOhSjvIuZsx2NfLDJDap2ml0vn6PKUqtjP/N9jxetyL7WOQZs60TdMhvDHWlpr4598kx03xQZ47uk/PsU8U9Tja7d4+9RomE9b2IAC4yMpFI5O1ZbnskHA6/HXgY2AJMrOupAvZJo5sSmXJwk7VwZhcM06Ah0IBpmnn1TaTLFtj2HNtDe1N72Z5ruk/ubxu4Lfl1qT79ddPz5GY6XSHlYaXOOuQ7/a6aVekn/ZKiGvuzauE9pii1Mmkr2/OY0eYoyzpmDTCwy7IevnNiQJI62cwOSJz3Xampb24yP2AFM09ugjMWlL7cbM6csYxMIGB9LyJAHlPLMolEIo+Hw+FFwH+WYD1l4/VJY7pgymncyR8mpmlyy7W3jDsmWwlcNU4jKsegBTcnYrlOpAstD8t3lHc9TfCqhqEakls1lNrmyy/vMZJFtiCn0ICkUlPf0mV+TBOeO2hljW6+ZiyYGTmW36CBXL0vztsbG2FkBNrbreNEBHBXWpZTJBL5LfCGUtxXLbODqdUtq7mu5TrXZR628447z3W2oBylVflqD7UnS+pWLVvF9JbpBIwA01umF/zpr5syvWyvZZBgweVh+WQd+ob7WDe0jp2xncmfs4OldUPr6Bvuc/2c/aAcv2spvWootS2E3mNqWDA09vWMVisQgTSTzUz47mfhvpvgiYdgZvtYuVopN9ZMlSnQAhiJj9/0E0b7eoatcrShDAP3hvqt53DhBbBrl5Xx2bULll40/ji7NyYeHwtidu5Uo7+IQ86pZeXgi4kyFZDvBK5sU5/KOI2oYOWaZJWthA4yl30FCNAcaGYwMZhzit2ZTWfSZDSNy6aMMIKJ9f+Lm+lz2dTaBC9NLfMXt9Po8lBVGzjpPcZHnnhobHxzttItJyNglViZJiQmboycVIqpZffdNBbM3HiXlYkZtxbg1Knpp7Gddf7ELJRzcMCH/4/V12MLGPDHXWOZnMbGsbI2sAZAjBQ2IVTE54qaWiZlkqnMo5D+i2rsUXD2BqU7wS300990ZXrOQCNbycyLiRddlYftPrabAIFxpWdObqbPQf1M8PLTJDbxvtRWJGlup1WKNZLIPNkslZmAeAICDdDQaPWOlGvq2+z51nQysIKUG++yMjG2hgb3fT3OwQGQviTOOaGtkr0xGvEsPqVApoTy7YnIdKLvpv8iVaE9CsX0cbj9WTuLkSrT9W6kOxHLlKlxnkh3H+lOXp9rc9JMo6SBjMFSqkJ+l37l9VANEfGhbOObbZkyNaYJf9sBTcelHyRQiob7uZ1jGSM70HKu5fk8+npSBweMxMd+dlqz9bxGhmH7o3Dhe61g4u1vhz/8wQpmjh2zAo5yBBga8Sw+pUCmRAptILdP/r479N3kdYVkVAqZRlTMnihufrY50MymI5uIkz71Hyde0gEEbk6k3QZ8kDmbkkm6473MjnkxbECf9ItI3uzxzc7JZs4PurJNM9vXA1d8vnxT36a0WvvE/HKD9X1q1ujGu9wPGkgdHHBg0PraMKCxYayMrve3MPtVMHuOdb1hWPe/Z4/VV/PgN0s/GU0jnsWnFMiUQLETw/I5wc409SnfaUTFrNntz85ump1zXHGcOBuPbOTFxIslOdnOdSKdz+akzmzKC4deYO331o4biZ0a1KTLvng1wasUG3eKiHgjJVtfzHjloX5HgBSzhgvkm7GxN7t84kfjm/3ByqKkZosg/aABtxPawMpQnX8xPPvs+OOeP5jfZDS3NOJZfEqBTAmUYn+RYvd3sBvYM2mgYVyPQjFrdvuzvz/2+2T5WKYSKxOTQ4lDyfsu98m2m4DP5symAMRHm0qd6890vJ19ufGDN1Z8r45qHMVdDeppHLaIrzgb4NOVlhU6Xjnd/Q7HCgsEzjpvbD+cPdusUcuQua+nocEKlpwyjYwGq+n/xrvGyubicStwSvfczYTVU+TspynWxo0Te2REfKAk45frXSl2NXczVjjT/g72iWu2QAagOdBckjW7/VlnD0yufhSnXGOQi5Ft/CyMH11tGAZGmkEZmdafbuxzvr/LUqjGUdxeq7dx2CK+4WyATxfEQGHjlbPdr5sRyenY++Gs/AK8+YPWVDQj5X3ECFjXpxs0MHv+xJHRTnbZnL1G07SOm9Y8ep1p9dXsH7C+j8etwMr5nJ94yJq05hxV7eY5zp5t9cSMjGjEs/iKMjIlUIqJYcVMfXKTITExx2VXilmz2591ylZi5TYjVKpP1LNtTurMHGFCIBDATIwvJci0z4+bSWaVmOCV78adtU4ZKpEqltoAb5dpTW22rjs4mHkUc7qsR677dd6XHQgU0l+Trq8n16ABe3AAWI9//WXwT18fuz1didn0lvF9MgcG009GK2X2ScRHFMiUQKl2NS906lMhJ65u1xwgkNyjxg4cGmlMnhTm+lkgZz+KmzWXuufD2Utz28BtyetTy8kSiQSGYYy7zrnJo52xyTb22VapCV7VOIrbS6Uo/RSRMhjqH5sIBuOb+u2sA4xv8LdlynrYUhvr3Y5IzoedoXH781Narf6TuGNdqWakeT65eoRSxzo7laMMTaSKKJApgWL7W5wKmfpUyImr26b3dIGDiYmBgYmZ9fmeGTyTPcN7cvaj5FqzM9BIle8n6umyOvZzgYmBmWma44KYgBEY9zwaaGDxpMU8dvSxrJm0SjbWlyqwrhXKUIlUITuD4Cz7cp6wO6XLVOQ6KXfbWJ9rWECpxR2Z4dTnBGNlc065eoTKnX0SqWIKZEog34lhpVbIiWs+Te9OqX042Z7vBcdfQHuoPW25nFOuMchOxXyinimr45QamMXjcfqH+jOuzQ5SXtH4iqrZP6WUgXUtUIZKpMpkyiCkNsDbJpy8h8aCmExTyRqbxhryCx0WUA6ZGv6N0f6fceVzBmDmnoxWieyTSJVSIFMCXu9qXsiJa7Y1O2UKHOySKgMj6/NtbmhOWy43OTCZgcRA1qxOOoV+op6tT8IpNTBL9/xtc5rmJDMt1bR/SqGBda1O9VKGSqTKZOuLmdZs9cWk65GB8Q3+2fpCrINxFQhU0uz5Y+V0mdYFcEob9O+zgr1ck9F2/2rsumrKPolUgAKZEinFruaFnkgWeuLaHGhmdtNsfn/s9+OOM0f/g+xjk4MEOTt0ds7nm+4kfzA+yLqhdYwwknHNpdxg0k2fRDqZ1tZIIxccd0HGx8ulnEFDIYF1Le87owyVSJXJlEE4MGhlJb6dpULAPnnP1RfilM+I5HKb22k1348ksqyrEV6/AoYOph9LbQSstds9QtmyPF5mn0QqQIFMCRXzqXwxJ5LFnriaKZuPuR2bPMxwwc83V0bo4OGDrP3e2rG9Ww4Vt8Gkmz4JsF6vRhozBkWlyLBVImjIJ7Cu9aleXpd+ikiKfDaGtKWevD/xUO6+EMMen29kDwQqaUqr9bhuApQpre4mo7nJ8niRfRKpAAUyVaAUJ5KlPHF1KmcpTq4xyHYQA1ZwVcwGk277JBIkWN2yGrBep1L3vVQ6aHBm15xfO9X6VC+vSz9FJIXbDILz+NSTd1d9IabVK3PGAvcjkishn9HNbiajucrylCH7tHfvxE003e4/U8zPijgokKkCzhPJTNycSLrNCOVTZlXuUpxsY5BTOTeYTJXrE/VC+iSaG5pZEFqAiZkMZnbFdmFiFlwCVqmgIZ+sTz1M9SpF6aeIlIjbDMJZ52c+gXeb1RkZzm9EcqW4Hd2caZiBM+DJJ8tTSsuWQU8PJBLW5bJl1maa5f5ZEQcFMmXmphfCeSKZSSlPJN2WWUH2qWSlLsVJDTZeOPRC8raGQENRG0wW0idRjhKwSgQN+WZ96mWqVzUNZBCpa6XIINRDX0g+m1wWskGnmyApm927rUAErMvdu90/t2J+VsRBgUwZuT0RTh0BnEmpTiTdnriCdXJfqVKc9lA7O2I7Mk4yS23Iz+cT9Xz7JMpVAlaJoCHfrI+meolIRZUig1DrfSGFbHKZzwad+QRJmcyZM5ZVCQSs790q5mdFHBTIlInbE+HFkxa7vs9SnUi6PXF1O5WsVOxgI9skM4A3H/9mOo7ryOu+8+2TKFcJWCWChnyzPprqJSIVV0gGwcmrvpBKcY6ozqTQTS4LCZLS2bhxYp+LW8X8rIiDApkycdP3EifOo0cfdXV/pTyRzJX5sB/v7NDZFS3FcQYbceITGtMNDN486c3MC80D8h9hnE+fRLlKwNwEDQBtTW15vHLj5Zv10VQvEfFEPhmEdD/rRV9IpTiHGWRS6CaXmfbxcU58Sw2SMpWh/fJnhb3Gs2erJ0ZKQoFMmbjpe0k3QSqTUp5ITg9MTz52tZ24ug02Cu1fcdsnUa4SMDdBA8CeY3voa+oraAxzvlkfTfUSkaqVrY+j2KxONXMOM8h6XAFlyK4mvjmCpFKUoYmUiQKZMnHb9+JWqU4kB+ODbHlpS87jFk9a7NmJa65goxIjjMtVAmYHDQ8feZg4mcsGRhgp+DkUUiqWKYBsa2oDEx458kjJN+4UEcnK7Ql0NU4lK5ZzmEHW4wooQ3Y78W34WOnK0ETKRIFMmThPhEuhVLuquyl5MzDYH9/PPOaV5DFLrRIjjMvZNzIrOItXBl/J7uHdZXkOhZaKpQaQldi4U0QkrXo/gXYOM8ik0GEG+Ux8K6QMTaSCAl4voFa1h9oJlPDlHYwPluR+3Ja89cR6SvJ45ZCufyVhJpL9KzA2rrpQC0MLk78/Oxi45dpbWHPlmuT0tGLK7/YO701+XernYGd9Gmmc8HcwQIBGGnNm+JxZr9S/LwkSyYxRqf5eioiMk3oCfeNdcPVa63L/gHW9fQJdi+Z2Wn0+2RQ6zGD2fCsIAisYObUVAoZ1mTrxLV0ZWsJRhgZjZWgiHlBGpkycn4pnYmC47pMp1a7qhYx6zrepvtzy6V+5beC2gtZb7r6Rco9hLnYDyEpt3Ckikla+fRy1ppzDDPKZ+Lb7V2PX5SpDE/GAMjJl4uZT8Tcd/ybX95ftk/nB+CCbj24mMhDhtoHbiAxE2Hx0c9pPy4MEXT2e3fvRN9zHuqF17IztTJ582+VF64bW0Tfc5/o5lIrzOUxrmYZhGAAT+ldsha7XDgY6Qh3J1yNIkOZAMwYG3Ue6s77WpXgOxYxhtkvFVres5rqW61jdspolk5a4Cr4qkfUSEckonz6OWmUPMzjrfKscDMO6POt86/pCG+ztIKkxOJaZsRkB63o7SAqGxm6b0WqVn0FtbTy6dy/MmweNjdbl3r25f0aqhgKZMkp3ItxEEx2hDuv6PPZCyfTJfL6BhpuSN7v3o1rLi5zPYdWyVUxvmU7ACDC9Zfq4EcZOha7XGQwsn7wcE5PBxKDroC5TkDk7ODvnc/By75ZKbNwpIpJRPZxAu2GPqL7i87Di78fKvTbcAvfdBE88ZPUT5WOo3xqkgDE+09MQhClTresfvce6/0knuS9D86tly6zNOeNx63LZMq9XJHlQaVmZ5ZrA5XYoQLpP5guZ3uWm5M3u/ajW8iI3zeylXq+b17r7SDeNNHJ26GwWhhYymBjM2CxvjP4H1TcCGyqzcaeISEbOZvfrL5vYZA7enkBnGwtdjuEDpRqBnO5+wAoQ48Nw+ADYJe/DsfHf1+LGo2BtypkYfS0SCet78Q1lZDyWT4YkVWqgsfbetdxwxw2svXctBw8fBEieuNvyaQSv1vKibM/BVur1unmtwRqbvDO2k3uH7uXhIw9nzGbZG34W05BfTm6yXl5mjESkxjmb3e0T6G+vsS6nt1jXmwk4+bTKr23fbth4hxVE2CVwdlCx8Y7RbEcJOSe4pU4xMxPW9Vvuz52ZyXo/dr9uat+u4/tcZWh+NWcOBEafWyBgfS++oYyMx/LJkKQqdPd5t43g+ZQXRQYiFR0EkO45OJW6HMrNa21L/V1myg4BnNF0BiEjVFBDfjkVOsJZRMSVXBmNKa1w/sXwyw3Z7+fJh2FGW+VOpL0YC12qEchu7ifT9RhW2dnRw7W18SjAxo1WOdnu3VYQs3Gj1yuSPCiQ8Vgx07GK6WNws8O92/Ii51oquc9I6nOwg6lc6y2kHCrba71/YD9r712bNlCB7EFm77HeZBN+NSn31DYRqWNuy6QOPQcYgFm5PUxyBVhe7KtSqglubu4n0/WYVhBzxedL85yqyezZsHPnxOsrXT4oBVFpWRXINRQgUzBQ7slXhTTVg3eDAMpZDpXttQ4YgbRlbDa/NssX+vdSRCSjfMqk9m4nWdpUiT1M3JSMebGviusJbjGycnM/9TohLlWlywelYMrIVAk3GZJU5dx9HtyVF0H1DAIoZzlUttd6/6H9yf2AnIGK/bokHG/WfmuWL+TvpYhIRvlkNCo5gtltyZjz9kqd9AdDY6/FjNaxjEnqBDf7eWTKFri5n2z3X+sT4mxelA9KwZSR8bFy7z7vpqkeqmcQQCl2tM8k22s9/eTpabNh9uvipGZ5Ealr+WQ0KjmCOTXAuvEuuHqtdbl/wLo+Hh/f8J5tTZjw3c8WPiLZyTmZ7frLYFrz6EOYMBIfW5/9PLLdT65RyuUasTzUb70O991UutelXJx/FzKxg23xnAIZHyvnibstU3mRUzWVTs0KzmLZ5GU0B5rHXd8caGbZ5GUFl0Nle60zlbE5XxeAgBEoWZApIjXETyd5xcqnTGrSSTA6pr7se5i4DbAMI3cwkPp8iy1Hco42nt4CjQ1jAdSBwbH12c8j2/3kmgSX6fpiRiz7rUzL+Xchk1KXD0rBVFrmc24nkBUjXXlRORvri9E33JdsUHcaTAyy8cjGogYQOF/rXbFdyeefqYwt14AENcuLSMn2B/GLvMqkDlKxPUzcBliJuDVyeCSReU2pii1HSj2+0JK2Ka3W36dM+8iYJsnhCsnrA9ZrXOiIZT+WaeXqNUoeV0c9Q1VMgUwNqHQfw2B8kBMDJ3IocQgg7/6cwfggW2Nb6Yn1lHRkcyEbhObL+Vo7g6Z047MzvS4Ac5rmqFlepN758SSvWG42urSN+1S8xCfYqdwGWMEQXPi+9MGArRzTzFyvL8eHhzPnWH+fktO4HKOUT58H/7tz4vXFTOnyYspbsRqbYMRFkFIvPUNVznCWvlRKOBw2ASKRSMUfW4pjn7zbGzpm00jjhKAh08m/c6RvoSf4m49uTjbkZxpAECBAR6ijZEHfYHxwXDYsSJARRrK+NuleFxGfM7xegJNv3mOeeGjspD7TSZ4RgLPOr56TvGIN9VvlROmCt2yvQbn3MMn3dzFuNO8xxgVZN941PtA4tXUscxMMFTbC2K9/V+67aSwAK8frUmr7dsPme3OXllXja13bMr7HKCMjrmXLeDgZGDTQMKF0qtwZk0I3CC1GumyYm2BNQYyIlGx/ED/JVt6U7TUo9x4mczutUr5sJWPOMrYprdbvxP69fPezY8eVY5pZvuurFpWcPFcsO0OaK4iB6nyt65Sa/cW1rbGtaUuoUp0cODntPiNuft4e2VyIYjYILSXtvyIirvjpJK+U7PKms84ff72Xr4EdYDUGx08mA+v7xmD2MrZyT1grdn1eqeTkuWK5mVwH1tqr8bWuUwpkxDVnxiObFxMvps04uPn5YkY2u90gFKysSTnZmZrVLau5ruU6VresZsmkJcrEiMgYP53klZqd0aim18AZYAVDgGFdnnW+dX22oQtuRhsXO2GtmPV5pRKvS6m4mVwH0BCsztfatncvzJsHjY3W5d69Xq+orFRaJq45Mx7ZZMp4FPvzubjZINRWbNO/iEjR3DS+V8tJXrlU22uQWjLmVqVKvwpdn1f8VBLnNkOarr+rmixbBj09kEhYl8uWwc6dXq+qbBTIiGtBgq6CkXQjlwfjg64fp9CRzQtDC9kV20WCRHIkst30f/M9N49r+rdL2LRjvYh4xk8neeVSK69B1tHGJZ6w5id+el1KNRnOa7t3W0EMWJe7q2yfnhJTaVmV2Tuwl3mReTTe1Mi8yDz2DlRPSrA91D5hM8hUmUYub41tTX598PBB1t67lhvuuIG1967l4OGDEx6nEPamlU5203/CTCSb/qG4EjYRkZLwa99DKdXSa+DH0q9K8Mvr4qcyuGzmzIHA6PMIBKzva5gyMlVm2f3L6DnYQ8JM0HOwh2X3L2NnuDpSgs6MRyaZdqt3Bg2ZJorZitntPrWR3sum/0KUa48dEalS2fb1KOV44WpWS6+B30q/ymXceOqYFbjMng8Xf7x6f5+1kh3cuNEqJ9u92wpiNm70ekVlpUCmyuw+uJvEaOo1YSbYfbB6UoJ2xqOQ0cJuJ4rZj1MMZwnctJZpyaAptem/0BK2ckk3tnmYYXbGdrIrtquoPXZEpIrp5FevQS3Zt3tiKdlwzOqF2rPVyrBVSxbGyU9lcNnMnl3TPTGpVFpWZeZMnUNgNLUZMALMmVpd/7MXOlrY7USxUgQXzhK4VctWMb1lOgEjwPSW6cmm/0wlcF5x7rGTmvFKkGCEETYd2ZRXr5GIiEhF2XuxjAxP3I/FTFjXb7nfOq4a+aUMTpKUkakyGy/fyLL7l7H74G7mTJ3DxsurLyWYbhPIXNxMFCtVcJGu6T9VphK4cstUOnYscSwZwNgDCpyvjwYUiIhI1UvdiyV1Ct30Fuv2Z6LVm31TdtBXFMhUmdkts6umJ6aUKhlcFFoCV+7+lGylY841ZuohsgcUKJAREZGqlG4vFtOxF8vN11i3792uQEFKQoGMVEQx/TWFsEvgtsW20RPr4RjHaKKJ9lA7C0ILJjzOjpd3sPmlzZiYyeuGGebp2NM8HXsaoKjAxlk6liq1lMxvAwpEREQA93uxDOu9TEpDgYxUTL7BRbHclsDtjO3k0ZcezXl/xTTeb41tzVk6ZvPTgAIRkbLJNPnKb5PM6kmt7MUivqFARiqqkP6achqMD/Lo0bEgJleQYWeTNh3ZxMopK12XpznHVucaP13uHiIRkarn18lXXqqGwG/2fOt3ZCasnpjUHhnwx14s4hsKZKSubY1tHVdOlhpkfONH36ChocFV473bHphc46erbUCBiEhFOSdfpTIT1j4fW+63pkgpM2OplsCvVvZiEd/Q+GWpa86NOmFikHHw8EH2D+wnYSaS2RMg2XhvyzU+2Snb+GkgOTra+X0jjSXtIRIRqVqpk69uvAuuXmtd7h+wrrcnX0l1jTy292JpDFqZFycjYF3vh71YxDcUyEhdc27UCRODDMBV431qD8zae9dywx03sPbetRw8fHDcY2Tb22ZO05y89+gREakp6SZfJRyTr2Bs8pVUX+CnvVikglRaJnUtSHBcMJPanzISH+HQ0KGcjfc9sR7XPTDZSscuOO6CZB+RiEhd0uSr/FTjyGPtxSIVokBG6lp7qJ0dsR3JPpnUICNd8z9MbLx3BkO5emACBMo+flpExLc0+So/CvykjimQkbpmb9SZbn8XcN9478zsZBufHCTI2aGzKzJ+WkTElzT5Kj8K/KSOKZCRuubcqDNOfNwEs3QyZU/aQ+3J6WTZxiefHTq7qsZPi4hUHU2+yk+1BH7VMP5Z6o4CGal7mTbqbGtqAxN6h3tzZk/szE6ChMYni4gUw558lTpOGKwT8oYGTb5yqobAr1rGP0vdUSAjQvEbdTozO859ZEA9MCIiebMnXyU/4T9mlUbpE/6JvA78tO+PeEiBjEiJZMrsqAdGRKQAmnzlnpeBX+r459TStuktY+Of9buUElMgI+LS3oG9LLt/GbsP7mbO1DlsvHwjs1tmjzum2MyOiIhIQbwK/Kpx/LN4b+9eWLYMdu+GOXNg40aYPTv3z+VJgYyIS8vuX0bPwR4SZoKegz0su38ZO8M7vV6WiIhIduVsxNf4Z0ln2TLo6YFEwrpctgx2lv6cSYGMiEu7D+4mMfqpU8JMsPvgbo9XJCIikkO5G/E1/lnS2b3bCmLAutxdnnOmQFnuVaQGzZk6h4Bh/S8TMALMmaoJLCIiUsWcjfjOIQAw2og/bN0+1J/+592YPd8aKgBWT8yprRAwrEvt+1O/5syBwOjfi0DA+r4MlJERcWnj5Rsn9MiIiIhUrUo04lfD+GepPhs3TuyRKQMFMiIuzW6ZrZ4YERHxj0o04ns9/lmq0+zZZemJSaVARqSODMYH2RrbSk+sh2GGCRKkPdTOwtBCjYcWEak1lWrE174/4hEFMiJ1om+4b8KGncMMszO2k12xXSydvJRZwVneLlJEREqnko342vdHPKBmf5E6MBgfZNORTYwwkgxibAkSjDDCpiObGIwPerNAEREpPTXiS41TRkakDmyNbZ0QwKRKkGBbbJs28xSR6lPOfVBqmZtGfDMBu39lvbZ6TcVnlJERqQM9sR5XgUxPrKdCKxIRcWnfbth4h7XviV0mZe+DsvEO63ZJz27EbwyOZWYy0WsqPqRARqQODDPs6rhjaOdlEakildgHpdbZjfhnnW9lsrLRayo+o9IykToQJOgqmGlCOy+LSBWpxD4o9cDZiP/EQ1bmxUzoNRXfU0ZGpA60h9oJ5PjfPUCA9lB7hVYkIuJCun1QEo59UGBsHxRxR6+p1BBlZETqwMLQQnbFdmXtkwkQYEFoQQVXJSKSQ6H7oGg4QGaV2ltGpAKUkRGpA80NzSydvJRGGidkZgIEaKSRpZOXalNMEakuzp6OGa3W/ieQfR8UDQfIrpDXVKRKKZARqROzgrNYOWUlHaGOZC9ME010hDpYOWWlNsMUkeqT7z4oGg6Qm/aWkRqi0jKROtLc0MySSUu0V4yI+IObfVAaGqzjQMMB3Mj3NRWpYsrIiIiISHXKtg+KEbCuX3T5WN+LGtlzy/c1FaliysiIiIhI9bL3QUk27x+z+jfSNe+rkd2dfF5TkSqmQEZERESqm3MflGyCobFgZkarlYkxTTWyp+P2NRWpYiotExERkdqgRnaRuqKMjIiIiNQGNbKL1BVlZERERKQ2qJFdpK4oIyMiIiK1Q43sInVDgYyIiIjUFjWyi9QFlZaJiIiIiIjvKJARERERERHfUSAjIiIiIiK+o0BGRERERER8R4GMiIiIiIj4jgIZERERERHxHY1fFhFPDcYH2RrbSk+sh2GGCRKkPdTOwtBCmhuavV6eiNS7oX7HnjQxCIa0J41IlVAgIyKe6RvuY9ORTSRG/wMYZpidsZ3siu1i6eSlzArO8naRIlK/9u2GLfdDPA6m9W8UwzF49knYsxUWXW5twCkinlBpmYh4YjA+yKYjmxhhJBnE2BIkGGGETUc2MRgf9GaBIlLfhvqtIGZkeCyIsZkJ6/ot91vHiYgnFMiIiCe2xrZOCGBSJUiwLbatQisSEXF4JmplYgD2D8CNd8HVa63L/QPW9fG4dZyIeEKBjIh4oifW4yqQ6Yn1VGhFIiIOe7ePZWJuXQ/P90PCtC5vXW9dbyas40TEEwpkRMQTwwy7Ou4Yx8q8EhGRNIZjY1//pR9M0/raNK3vk8fp3ygRryiQERFPBAm6Oq6JpjKvREQkjWBo7OsZrWAY1teGYX2fPE7/Rol4RYGMiHiiPdROIMc/QQECtIfaK7QiERGH2fPBGP036vrL4NRWCBjW5fWXWdcbAes4EfGExi+LiCcWhhayK7Yra59MgAALQgsquCoRkVFzO60RyyMJmN4CN18z8ZiGBus4EfGEMjIi4onmhmaWTl5KI40TMjMBAjTSyNLJS7Uppoh4Y0qrtU9MY3AsM2MzAtb1iy7XppgiHlJGRkQ8Mys4i5VTVrItto2eWA/HOEYTTbSH2lkQWqAgRkS8NXMOLLvWGrG8d7vV2B9sssrJ5nYqiBHxmAIZEfFUc0MzSyYtYcmkJV4vRURkoimtcMEl1h8RqSoqLRMREREREd9RICMiIiIiIr6jQEZERERERHzH0x6ZcDjs5cOLiEhpmJFIxPB6Ean0HiMiUhMyvscoIyMiIiIiIr5jmKbp9RpERERERETyooyMiIiIiIj4jgIZERERERHxHQUyIiIiIiLiOwpkRERERETEdxTIiIiIiIiI73i6j4yI34XD4f8G3gq8JxKJ/IfjegP4d+BDwL9GIpHPeLREERHxKb3HiGSnjIxIcT4FJIAvhcPhBsf1X8F6g7lbbzAiIlIgvceIZKFARqQIkUjkt8D3gLOBDwCEw+EbgRuAHwAf8251IiLiZ3qPEclOG2KKFCkcDs8Efg+8gPUp2R3AfwGXRCKRY16uTURE/E3vMSKZKZARKYFwOLwWsNP7vwDeGolEjqYccyHwj8CrgdOAD0cike9Ucp0iIuI/eo8RSU+lZSKlccDx9UdS32BGTQZ2ANcBL1VkVSIiUgv0HiOShqaWiRQpHA5fjpXu/wswA+tNZHXqcZFI5BHgkdGf+U4FlygiIj6l9xiRzJSRESlCOBy+CPgusBM4F+gBPhoOh9s9XZiIiPie3mNEslMgI1KgcDj8BuBBYB/wtkgkcgD4Z6xM55e9XJuIiPib3mNEclMgI1KAcDj8KuBh4DBW0+XzAJFI5EHgKWB5OBx+o4dLFBERn9J7jIg7CmRE8hQOh1+JNfrSBN4eiUT2pByyZvTy3yq6MBER8T29x4i4p2Z/kTxFIpE/YDVcZrr9J4BRuRWJiEit0HuMiHvaR0akQsLh8GTglaPf/gKrxvkh4FAkEvlfzxYmIiK+p/cYqUcqLROpnPOAbaN/jge+OPr1TV4uSkREaoLeY6TuKCMjIiIiIiK+o4yMiIiIiIj4jgIZERERERHxHQUyIiIiIiLiOwpkRERERETEdxTIiIiIiIiI7yiQERERERER31EgIyIiIiIivqNARkREREREfEeBjIiIiIiI+I4CGRERERER8R0FMiIiIiIi4jsKZERERERExHcUyIiIiIiIiO8okBEREREREd9RICMiIiIiIr6jQEZERERERHxHgYyIiIiIiPiOAhkREREREfEdBTIiIiIiIuI7CmRERERERMR3FMiIiIiIiIjvKJARERERERHfUSAjIiIiIiK+o0BGRERERER8R4GMiIiIiIj4jgIZERERERHxHQUyIiIiIiLiO54EMuFw2AyHw6YXjy0iIiIiIv7X6PHjK5gREfE/w+sFiIhI/VFpmYiIiIiI+I4CGRERERER8R0FMiIiIiIi4jsKZERERERExHcUyIiIiIiIiO94PbWsfIb64Zko7N0OwzEIhmD2fJjbCVNavV6diIiIiIgUoTYDmX27Ycv9EI+DmbCuG47Bs0/Cnq2w6HKYOcfbNYqIiIhIxRiGsRj4aZZD4qZp1ua5cY2qvV/WUL8VxIwMT7zNTMBIwrp92bXKzIiIiIjUn/uBR9Jcn6j0QqQ4tRfIPBO1MjEA+wfg1vXwl36Y0QrXXwbTW6zbn4nCBZd4u1YRERERqbStpmnem+8PGYZxommaL+Z7W6keQyaqvWb/vdvHysluXQ/P90PCtC5vXW9dbyas46RuDMYH2Xx0M5GBCLcN3EZkIMLmo5sZjA96vTQREZH60LXC8HoJbhiGMcswDNMwjC7DMN5nGMZvDMN4Cbhj9HbTMIzvGIbxZsMwHjcM4wiw0fHz7zIMI2oYxpHRP1HDMJaneZw+wzAeMwxjgWEY/2UYxmHgd6O3HTf6+LsNwzhqGMagYRhPG4bxbxV6GXyh9jIyw7Gxr//SD6ZpfW2a1vfJ445Vdl3imb7hPjYd2URi9D+AYYbZGdvJrtgulk5eyqzgLG8XKSIiUvvW0LViKfAd4AG6Ngx5tI5JhmFMTXP9MdM0nWt6F/BJ4OvANwDnbecB7wHuBr5rX2kYRhi4E+gBvgSYwFXAjwzD+DvTNO9KeczTgc3AeuCHwOTR6+8ErgbuAb4KNABnAm/K76nWttoLZIKhsWBmRquViTFNMAzr++RxTd6sTypqMD7IpiObGGFkwm12YLPpyCZWTllJc0Nz5RcoIiJSPz4IzAFeD9xK14p1wO10bdhR4XV8cfRPqk3AxY7v5wHnmqa5K82x84C3mqb5E/sKwzBagP8L7AFeawdFhmF8HdgG/H+GYfzANM1Bx/20AatM0/xmyv2vAH5smuaH8npmdab2ApnZ863pZGbC6olJ7ZEBMALWcVLztsa2JrMwBw8f5O6Nd3Ng4ADTWqaxatkqpp40lQQJtsW2sWTSEo9XKyIiAt3R3gbgVOA04BXAVOC40T+h0T+NgIH1ib8tBhwCDqb86V/e2fbXSq0/ra4V52MFMbZJwCpgFV0rHgVuAzbRtaESDfd3YWVAUh1I+X5ThiAG4LfOIGbUW4ETgNudmR3TNIcMw7gDK7PyFuBBx88cAv49zf0fBuYZhtFhmmalAz3fqL1AZm6nNWJ5JGE19t98zcRjGhqs46Tm9cR6koHM3RvvZv/AfkzTZP/Afu7eeDdrrlxDggQ9sR4FMiIiUhHd0d4QcA7Wp/ozsYKVVzAWuJxCifuYu6O9LwH9WIHNn4FngJ3ADmDX8s62o6V8vDQ+mOW2N4/+2UPXijuAb9K1oZyB1+/TBCHpPJvnbW2jlzvT3GYHI7NTrt9jmmY8zfHXA98DnjYMYy/W2OiNwEbTNDVdbVTtBTJTWq19YlL3kQErE9PQYN2u0ct1YZixMdwHBg5gjvZMmabJgYGxD16OoZ4pEREpve5o7/HAq4CFwKtHL+cBwQov5XisoGkmMB9Y6rgt0R3t7cU6AbeDm53AM8s729LsZ5GnrhVB4P0ujjwDuBX4LF0r/i9wJ10bXir68QuXLbhLd1shwwzSPoZpmt2GYcwCLgIWYWVyPgL83DCMt5imqRMXajGQAWuzy2XXWiOW9263GvuDTVY52dxOBTF1JEgwGcxMa5mWzMgYhsG0lmnJ45pQz5SIiBSvO9p7JvA24HyswOVsrEbtahbACiLOAJx7U/y1O9r7c+Ano39+t7yzzUzz87m8A6s8zq1pwL8B/0DXin8FvkHXhpcLeNxK2zN6OQ94NOW2uaOXe93emWmah4B7gXsNwzCALwP/BCwnfWlc3anNQAasYOWCS7RXTJ1rD7WzM7aTBAlWLVs1oUcGIECA9lC7xysVERE/6o72BrE+MV86+udMb1dUUidgBSHvGP3+QHe0dzOjgc3yzrY+l/fzgQIffwZWX8mn6FpxM3AXXRuKzxCVz/8AfwWuNQzj3+39YAzDOBG4FjgyekxWhmE0ACc6hwKYpmkahrFt9NuTS71wv6rdQEYEWBhayK7YLhIkmHrSVNZcuWbCMQECLAgt8GB1IiLiR93R3hlYJT9LsRq8T/R2RRUzDXjf6B+6o717sU7MNwCPLu9smzgitGvFScCyIh/3NOBrwLV0rbierg3/WeT9LTQM48oMt/2o0Ds1TXPQMIx/whqd/CvDML4zetNVwCuBvzNN87CLuzoReN4wjIewpp3tx+q/WQ0M4Nizpt4pkJGa1tzQzNLJSyfsIwNWABMgwNLJSzV6WUREsuqO9v4NVmbh3Vh9Lr7Y3LHMZgN/N/rnQHe0dz1wPxB1lKC9F2vaWinMAX5M14qHgevp2rAn1w9kcPnon3TOhDR7NrhkmmbEMIzngU8BXxi9+rfACtM0f+Tybo5i9Qq9Gas3ZjLwPPAQsNY0zecKXV+tMezm50oKh8MmQCQSqfhjS30ajA+yLbaNnlgPxzhGE020h9pZEFqgIEakeDqhk5rUHe09DitwuQrrpLKkk8Rq2N8t72yzNn7sWvEz4I1leIwYVtnZl8o84UyqmDIyUheaG5pZMmmJRiyLiEhO3dHes4EwcCXQ7O1qfGcEq9QMulbMAt5QpscJAZ8BPkDXio/RteHhMj2OVDEFMiIiIlL3Rpv2V2AFMIs8Xo6f/efyzjZ7f4MrKX/G9hXARrpW3Ad8kq4N/WV+PKkiSpGKiIhI3eqO9oa6o72fAHqBB1AQU6x7HF8XOq2sEFcAO+laUexgAfERZWRERESk7nRHe0PAR4E1WJ/qS/EOY0/U6lrxGuCsCj/+KcBDdK34d6xhAEMVfnypMGVkREREpG50R3ubuqO9q4E/YI30VRBTOuuXd7bZG1d+0MN1fBj4DV0rXuXhGqQClJERqbDB+CBbY1vpifUwzDBBgrSH2lkYWqgJaiIiZTLaA3M1cCNwusfLqVXfA6BrRRB4v7dL4ZXAE3StuJauDd/0eC1SJgpkRCqob7hvwp42wwyzM7aTXbFdLJ28lFnBWd4uUkSkhnRHew2s8clfAP7W29XUtD7g56NfvxNo9W4pSccBd9O14o3Aaro2HPV6QVJaKi0TqZDB+CCbjmxihJFxG3MCJEgwwgibjmxiMD7ozQJFRGpMd7S3A+vk+tsoiCm3ex2bYFayyd+NDwK/omvFHK8XIqWljIxIhWyNbU0GMAcPH+TujXdzYOAA01qmsWrZKqaeNJUECbbFtmm/GxGRInRHe48HPg/8AxD0eDn1wi4rawaqcXJYB1YwcxldG/7H68VIaSgjM9QPTzwE990E3/2sdfnEQ9b1IiXUE+tJBjJ3b7yb/QP7SZgJ9g/s5+6NdwNWZqYn1uPlMkVEfK072vsOYCfWZokKYirj18s7254d/foyrM0qq9FJwCN0rfiI1wuR0qjvjMy+3bDlfojHwRwt9RmOwbNPwp6tsOhymKkspJTGMMPJrw8MHMA0rQy8aZocGDiQvO0Yxyq+NhERv+uO9s4AbgXe5/FS6tH3HF97Oa3MjUbgm3StOAP4LF0bzFw/INWrfgOZoX4riBkZnnibmYCRhHX7smthSjX0q0k1KWTyWJBgMpiZ1jKN/QP7MU0TwzCY1jIteVwTTZV4CiIiNWG0mf9jwFqsT9ylsoaB7wPQtaIN6PR0Ne6tAdroWnEVXRtiXi9GClO/pWXPRK1MDMD+AbjxLrh6rXW5f8C6Ph63jhNx6BvuY93QOnbGdiYDE3vy2LqhdfQN96X9ufZQO4HR/+VWLVvF9JbpBIwA01ums2rZKgACBGgPtVfkeYiI+F13tHcq8AgQQUGMV/5zeWfbwdGvrwQMLxeTp/cDP6FrxRSvFyKFqd9AZu/2sXKyW9fD8/2QMK3LW9db15sJ6ziRUcVMHlsYWpgMZKaeNJU1V67hlmtvYc2Va5h60lTACmQWhBaU/XmIiPhdd7T39cA24B1er6XO3eP4utqmlbnxBuB/RocUiM/Ub2nZsCOL+Jd+GO1XwDSt75PHqV9BxhQzeay5oZmlk5dO2EcGrAAmQIClk5d6timmNuoUET8YLSX7B6xSsvo9j6kOg8BGALpWvBY408vFFOE1wKN0rXgbXRs07clH6jcjE3QM1JjRCsZoJtQwrO+Tx6lfQcYUO3lsVnAWK6espCPUkeyFaaKJjlAHK6es9GwzzELL5UREKqk72tsC/Aj4NxTEVIP1yzvb7E+G/ZiNcVoIbKZrxXSvFyLu1W8gM3s+GKNP//rL4NRWCBjW5fWXWdcbAes4kVGlmDzW3NDMkklLWN2ymutarmN1y2qWTFriaSZGG3WKSLXrjva+BtgKXOL1WiTJ3jsmiNVv4nfnAo/RteJUrxci7tTvpxlzO60RyyMJmN4CN18z8ZiGBus4kVG1OHlMG3WKSLXrjvZ+EisL459/XGtfL/D46NcXAbUy4vVsrAEAF6rMrPrVb0ZmSqu1T0xjcCwzYzMC1vWLLtfoZRmnFiePaaNOEalW3dHexu5o7zeB21AQU23uXd7ZZu/B4veyslRzgR/TtWKy1wuR7Oo3IwPWZpfLrrVGLO/dbjX2B5uscrK5nQpiZIKFoYXsiu0iQSI5eSyV3yaPaaNOEalG3dHeE4D1wDu9XoukZZeVNQMXe7qS8jgfuAa4xeuFSGb1HciAFaxccIn1RySHap88VohaLJcTEX/rjvaeAmwCXu31WiStXy3vbPv96NfvBULZDvap/0vXBgUxVU6BjEie7Mlj22Lb6In1cIxjNNFEe6idBaEFGYOYah1v3B5qZ2dsJwkSrFq2akKPDPivXE5E/Ks72nsG8D9Am9drkYy+5/i61srKTOAfFcT4gwIZkQLYk8fcNr/3DfdNyOLY4413xXaxdPJSz0Yv12K5nIj4U3e0twP4b0BTo6rXMPB9ALpWzAZqaSrSCHA1XRu+l/NIqQoKZKTmeZ0JcY43TmUHNpuObGLllJWeZGZqsVxORPxndLzyj4GTvV6LZPXj5Z1t9jSvKwHDy8WU0FHgUro2/NjrhYh7CmSG+h3N/jFro0w1+9eMasiEVPt448H4IHuH92JgjAtiggQ5O3R21nI5EZFS6I72LgIeBjQlqvrd4/i6VsrKDgFL6drwhNcLkfzU7/hlgH27YeMd8OyTVhAD1uWzT1rX79vt7fqkKNWy0WM1jzfuG+5j3dA6dsZ2jpteFiCAiUlbsE1BjIiUVXe099XARhTE+MEgVsAJXSsuAF7p5WJK5E/AGxTE+FP9BjJD/bDlfhgZBnP8SS5mwrp+y/3WceJLqZmQtfeu5YY7bmDtvWs5ePggQDITUk7VOt64WgI9Ealf3dHeOVjlZCd6vRZx5QfLO9tGP/mtiWzMLqCTrg27vF6IFKZ+A5lnohCPW1/vH4Ab74Kr11qX+wes6+Nx6zjxpWrJhAQJJr+e1jINw7DKib0eb1wtgZ6I1KfuaO8rgP8CpuU6VqqGvXdMEHift0sp2hNYmZg/eb0QKVz9BjJ7t49lYm5dD8/3Q8K0Lm9db11vJqzjJG+D8UE2H91MZCDCbQO3ERmIsPno5op+ul8tmZD2UDuB0f/VVi1bxfSW6QSMANNbpns63rhaAj0RqT/d0d6TsYKYv/V6LeLaXsD+dHcp4OdG4keAN9O14RBAd7R3tsfrkQLVb7O/3RMD8Jd+GD3JxTSt75PHaTfzfFVDgz1Uz0aP1TreuFoCPRGpL93R3klYfRbzvF6L5OXe5Z1toydLvi4r+x7WiOURgO5o78eBW7ujve9f3tn2Q2+XJvmq34xM0LEJ7YxWGC33wTCs75PHaTfzfFRT30W1ZELs8caNNCbXYwsQoJFGT8YbV2vJm4jUru5obxD4IfA6r9ciebPLylqAi71dSsH+P+BDjiDmi8DXsD7Yv7c72ltLe+LUhfrNyMyeb00nMxNw/WVWOdlf+q0g5vrLrGOMgHWcuFZNo4arKRMyKziLlVNWsi22jZ5YD8c4RhNNtIfaPRtv3B5qZ2dsJwkSrFq2asLvCrwpeROR2tQd7TWA7wDv8Hgpkr8nlne2/WH06/eC7z7hMoFP07Xh3wC6o70BIAL8neOY44CHuqO9r1/e2aaxtT5Rv4HM3E7YsxVGEjC9BW6+ZuIxDQ3WceJaur4L0zSTfRdrrlyT7LsodyBTbRs9Njc0s2TSEk/2ikmnmgI9EakLXcAVXi9CCuLc6d5vZWUjwEfp2vBdgO5obwi4D3h3mmNPBn7cHe09b3ln26EKrlEKVL+lZVNaYdHl0Bi0Mi9ORsC6ftHl2hQzT9XWd2FnQjpCHckSqSaa6Ah1sHLKyor06lSrai15E5Ha0x3tfRvwOa/XIQUZBh4AoGvFbMBPn/C+BKxwBDFTgP8kfRBjawPuGc0gSpWr34wMwMw5sOxaa8Ty3u1WY3+wySonm9upIKYA1dJg71RtmRAvDMYH2RrbSk+sh2GGCRKkPdTOwtDCqit5E5Ha0h3tnQmso54/PPW3R5Z3ttlTkPyUjRkALqZrwy8AuqO9p2AFMfNd/OxS4FPA/y3b6qQk6juQAStYueAS608pDfU7AqSYNVygDgIk9V1UHzdT5Oo90BOR8uiO9jZifZo/1eu1SMHucXx9pfOG3Qdf5H0PPpn8fu/AUW5a0s71F7wyed2/RX/PuqetrVpGEia7Dr7IgU9dRDxhsuKBXzH48jBfetPZvKv9NACWf/8Jvr70VZx24vHFrPnPwNvp2rAToDvaewbWuO8z8riP/9Md7f3F8s62x4tZiJSXYZf+VFI4HDYBIpFIxR+7pDIFKyefBk8+bG2oaTomdxkBq+9m0eVWNqhUjxsIWG1sZsLzgGkwPsi6oXWMMJLxmEYaWTllZU1+2p8t8+HF863334dUjEowJK3uaO//B9zg9TqkYAPAjOWdbcfoWvE64BeZDownTF5xy3/yq48u4m+bJ6U9ZuPu5/nqE3vY/KE3cPuv9nB8YwPv73gF71j3S6JXX8jG3c+z9fnDfGFxUR929mAFMf8L0B3tXQD8GDilgPv6M7BgeWfbgZxHiieUkSnUvt2w5f7xwcpwDHb/GiuqSMNMWMMFttxvlbQVEmike9yEI1gajlnT2PZsLT5gKkC1NdinU6pgI/V+GmkkThwAc/TvgBf75zhV0xQ5Eakv3dHeFSiI8bsfLO9ss5tas5aVPdp7gDNOPiFjEANw/44/c3nHTACCgQAvjcSJxRMEDIORRIJbf7WHjZdfUMx6fw1cRNeGfoDuaO8S4EfAlALv7xVYY5nfubyzLZHzaKk41asWYqjfCiZGhsdnXIBxQcz+AbjxLrh6rXW5f8C6Ph63MiolfVznEhLWMVvut36mwqq5wb5vuI91Q+vYGduZ7OWxg411Q+voG+4r+H5GGMEc/c+p0vvnOKWbIpcwE8kpcvb6emI9FV2XiNS20VKef/d6HVI0e++YJuB92Q78/o59ySAlnaPDI/znH17gPXOtErIrzpnJf+3Zzzvu/SVdi9qJPNnLB889nUnBgj9j/y/gTY4g5j1YmZhCgxjb24DPFnkfUibKyBTimagVjIAVnKTuQTO9xbrt1vXwfD+YpnV563przLOZsMrC8u3LyfS4U5ut6w4Ojl+DHTCVuv/HhWpssHdu1pnKzh5tOrIpZ5lVtvuB6sp8VNsUORGpfd3R3uOA9cBJXq9FirJ3eWeb/anrUqzRxGkdiyd4aPdfWPvmuRnvbOPuv9B5+smcfLz1AedJxwXZdIW1L+rAS8f41+iz/Mf7Xsuqh7Yx8PIw//C6V/K6v8n4kKnuA66ia8MwQHe092PAnZTuA/uu7mhvdHln2+YS3Z+UiDIyhdi7fSwjYgcrCUewYvvLaBAD1uVfHNmR4QJOHDM97v4B60/qGuyASYCJZVZr713LDXfcwNp713Lw8EGAZLBRzP1UU+YjSDD59bSWaRiG1crg5RQ5Eal5NwHagMr/XO8d8+Pfv8DCU0/ilMnHZTzm+zv/nDFjc9OW3Xz2jXO4/+l9vPq0Zr69fAE3bn7G7TpvBa50BDFfAL5Oac9xA8B93dFe15GVVIYCmUIMx8a+zhaszGiF0RNHDMP63hYs4MQx0+M6lSJgqlGlKrPKdT/VlPloD7Un94hZtWwV01umEzACTG+ZnnOK3GB8kM1HNxMZiHDbwG1EBiJsPrq54uVxIuIf3dHeVwF/7/U6pCTuBaBrxclYGZmM7s9RVnb45WG29B1k+ZxTJ9z2+/4jPHfkZRbNmsrR4TgBw8AAXh6Ju1njGro2/D1dG8zuaG+gO9p7J9bGq+VwChrHXHUUyBQiGBr7Oluwcv1lcGorBAzr8vrLRo8LWJPFSvW4TqUImGpUqcqsct1PNWU+FoYWJgOZqSdNZc2Va7jl2ltYc+Uapp5kTUMNEGBBaPyHp6XqJRKR+tEd7Q0Ad6Oy9Vrwy+WdbX8Y/fq9kPnN6+jwCP+zdz/vPvu05HXfeKqXbzzVm/x+Q89zvO2M6ZzQNPGvxmc3P8OXlpwNwOXnzOQ72/+XC771M/7xda+ccKxDHPgIXRu+DNAd7W0Cvg+EXT6/Ql3dHe19Y5kfQ/KgQKYQs+dbwQhkDlbA6lO5+Rr49hrr0u6daWiwxiOX6nGnt1h/ShUw1ahSlVnlup98Mx/lZE+Ra6QxGdDYAgRopHHCFDlnD5Bz6hx4O7hARKrex4HzvV6ElITrsrJJwUb6/2kpJx039t74sfPa+Nh5bcnvr5r/t3z/0vR/NX5w2Ws4s3UyANNPCPGLj1zIzvCbec/cV2R6yJeAd9O14dsA3dHeE7Ga+i/L9AMlZADf6I72BnMeKRWhT00KMbfTGm88khgLVtIxApn3kSlk9LLbx7UVGjBVuULHJ5dqs85c92NnPlKly3xUgj1FbltsGz2xHo5xjCaaaA+1syC0YMJrppHNIpKv7mjvTOD/eL0OKYljWJuYQteKM4DXe7qa8QaBZXRteBygO9o7HSuIWVjBNcwF/gn9fa8K2hCzUOn2c4GxYOX8i+HQc6ObVh6zSrxKsVFlpsd1KtXGm1Uo3S71MH6PmnTjnQfjg/zy5V/y7LFns96/m80h3Wwy6WSvbfGkxbwQf6FqNstMZzA+yPeGvpd8bdfeu5b9A/sxTRPDMJjeMj0ZpDXRxOqW1V4uV6qHNsSsc93R3g3Au7xeh5TEj5Z3tq0AoGtFF/AFT1cz5jngHXRteBqgO9rbBvw3kLUGrUxeBjqWd7bt8eCxxUEZmULNnGNtavlMNHuwUurRxxMeNwaBBqvJ30xYfTSlCJiqUKHjk53BTyb5bNaZbdNPY/R8roEGRhhJZj6mBabx2NHHxh3v9WaZqdK9TtU0uEBEqlN3tHc5CmJqyT2Or6/0bBXjPQu8na4NfZAcKvFjYOL0gMo4DogAb/fo8WWUApliTGm1ApVK79Pi1eNWQLaysUJKnnLt+WI7M3gmFxx/gevMSD7lWtkyOPnsX1NOmV6naS3TxmVkNLJZRJxG+xO+5vU6pGQOAZsA6FrxeuAMT1djeQq4iK4NBwC6o72LgG6836fobd3R3suXd7bd7/E66poCGUmr0D6UYqQrG3NmLUzMCWOPTdNMjj1ec+UaEiT4Xex3mJiug58AAUKBUN7Py+2mn9Xcc2L/nnfEdmBiTlhjy5QWWqe0cmjoUN69RCJSF74IZJ67K37zg+WdbXa6PWuTf4X8D1Zj/xGA7mjvCqzNLzNvWFNZX+2O9v54eWfboNcLqVcKZGSCXAFFOcqg3JSNOWUreQLyDn56Yj2ugohCArx0+84Us4ZScf6e7SAmdY2Hhg4xvWU6t1x7y7if9WpwgYhUj+5o7yysSWVSO6xpZV0rmrDGLnvp+8CH6NpwDKA72vtR4BtAg6erGu8UrMb/G71eSL1SICPjFNqHUiw3WQunbCVPzrU6FdvvkSvAW3T8IvYn9k8Icordv6bQ7Fi2nwMy/p5zBYnpRjaLSF36Iln2FxHf2bO8s+0Xo18vBbzcxf4O4Dq6NpgA3dHezwH/4uF6srm2O9p7y/LOtoNeL6QeKZCRcbwqg3KTtXBKHXt86eJLWXvv2oKDn1z9Hm4CvEdfehQDI5ndsIMct2sIECAyEBkXdJzScEpBQwJyBV0zG2dm/D2fPOVk+of6M67Ry14eEakO3dHeuVRPI7iUhnPvmA96tgr4HF0b/g9Ad7TXAG4HPuHhenKZDPwj8BmvF1KPtCGmjJMuoEiYiWRAASTLoErJbdbClrpL/YOPPZh2rU7FbFSZGuCtvXctN9xxA2vvXcvBw2MfwjhLtIAJWaFMa7CPtV+HYYbZEdvBT47+JO+NKd1saNk30pfx92xiZnydOkIdCmJEBOBL6Byi1twLQNeKk4GLPHj8OHCNI4hpwuqHqeYgxvaJ7mjvtNyHSakpIyPjFFsGVaggweRjZ8taNNKIiUmc+Lifzyf4SeWm38NtxihXWVymNaTjDIryyY7lW6aX+toNDA1M6Ilx+zqJSO3rjvYuAFZ4vQ4pqV849kR5H5UvGXwZuIKuDRsAuqO9k4H/AN5a4XUU6gTgU1j9MlJB+jRFxgkSTH49rWUahmHti1Lu0bvtoXYCo38ds2VOzgimnwSZba0NNCT3d3EyMFz3e7gN8DJlsWyBLP/LZcv05JMdc5NVc8r22tlrVl+MiDj8s9cLkJJzlpVVelrZYayNLu0gZhrwU/wTxNg+3h3tne71IuqNAhkZx21AUerRuwtDC5OPm1o2ZmcQAgQwDXPcmGD7xH8kPkLrlNYJazUwsm6Euej4Ra4msLkN8HJlhjpCHckgsImmcYFNtqAjn+xYvmV62crd7HKylVNWer5hp4h4rzvaew7a/LLWHAN+AEDXilcCr6vgY/8FWETXhi2QnIT3OHBeBddQKpNQRqbiVFom4ywMLWRXbBcJEkWVYuWruaGZpZOXTmhQtx8vQIClk5fyyJFH0pZ4ZRoTnNqzknrblpe2MDM4M2emoT3Uzs7YThIksg4aMAwD+yHTZbFS9525beC25NfZgo58BhW4LdOzZfo9N9Koxn4RSfVZSJPiFj/btLyz7dDo15Uc4PAH4G10beiFZJD8n8BpFVxDqa3ujvb+2/LOthe8Xki9UCAjlqF+eCZK897thIdjDDca9Mw8jq1nHM/hE6y/Js6Aohwnt7OCs1g5ZSXbYtvoifVwjGM00UR7qJ0FoQU0NzTnlW2wy8lMzKInsGUL8Nbeu3YsWDANGgINmKY5bgNJgBFG2Hx087ixyW6DjtTgKVt2LFvQ5fy50xtPZ9/IvqyBo4IYEbF1R3vPBC7zeh1Scvc4vq5UWdlW4J10bdgP0B3tfQOwEWiu0OOXyyTg08ANXi+kXiiQEdi3G7bcD/E4mAkMoGnEpOOPL3P2n15m03lTeP6UE8cFFKWQbZ+TTIGF2xN/+2TcHpdc7EaU2TJG4wIqTEzTTNssnyAxYWxye6idHbEdmJgZgw7Ib1CB26zaokmLALIGjiIiDn+HStJrzSHgEQC6VnQCsyvwmI8CK+ja8CJAd7T3EuAB4LgKPHYlfLQ72vv55Z1tR7xeSD1QIFPvhvqtIGZkeMJNAdMkEId3/eYoLPsITGot2cPm2uck0/4obrMNHaEOfhf7XfLncvWY3DZwW86NJp0ZI+d9uynfsqVuKvrK4Ct5OvY0kN9Es2xZE7dlevbPpZa7iYikGh2F+yGv1yEl98Dyzja70bIS2Zj1wJV0bTgG0B3tvRq4C2iowGNXyolYr+XXvV5IPfBfIDNaAsXe7TAcg2AIZs+HuZ0wpXQn2nXjmaiViQHYPwC3roe/9MOMVrj+MpjeYt3+TBQuuKQkD+lmc0n7RD/1JD2fHp5dsV159Yq4CaSaG5pZMmkJJqarTEqukjYTM7mJZrZRya2BVl5MvOg6a+KmTE9EJA/vBqbmPEr8xppW1rUiBLy3zI8VAa6la0MCoDva+xlgbZkf0yurUSBTEYb9KXUlhcNhEyASieT3gyklUElGABoaYNHlMHNOKZda++67yQoIAW68C57vB9MEw4BTW+Hma6zbgiG44vMlecjNRzcnsyqZTt7trEq6TEG6bA6MzzbMCs5y9TiZ5Gp0H4wPcs/QPeMmqKW7/3H9M4bB9JbpyeCriSZMzGSwlevY1S2rC3q9RSpAzd81rjvauxlQ6ra2/GF5Z9uZAHSteDfwwzI+VhddG74I0B3tNYBbgOvL+HjV4I3LO9se93oRtc4/ta7OEigzZZyumbCu33K/dZy4ZwcxYGVi7MDWNK3vk8eVbgNMN/ucpNsfxWZnG1JHGaeOCXYz0jnT3i12xiST5oZmV6OTc5W0ebUBqYiIW6NN/ou9XoeUXCX2jkkAqx1BTBC4l9oPYgA+5vUC6oF/ApnUEqgb74Kr11qX+wes6+0SKHEvGBr7ekarlYkB63KGo1QvWLoNMEtx8t7c0MyC0ALmhOYQJMgxjrErtoutsa0MxgeTxyydvJRGGjNuRFlIIGWLE8/4PF449ALX3349CUfQnW5sslcbkBZjMD7I5qObiQxEuG3gNiIDETYf3Zx83UWk5qxCWbdadC8AXStagYvKcP8x4L10bfgGQHe09wSsyWRXlOGxqtG7u6O9J3m9iFrnn0Bm7/axTMyt660SqIRpXd663rreTFjHiXuz51uleWD1xJzaCoHRsrLrR6dsGgHruBIpxcl733Af64bWsTO2MxkY2T0u64bW0TfcB6TP3jgVGkgNxgeT451Tn0c66TabbGtq82wD0kK5fd1FpDaMNvlf5fU6pOSiyzvb9o5+/T4o+adlQ1jjlX8I0B3tbQU2A28v8eNUs+OxXlspI/80+3tQAlUX5nbCnq0wkrAa++2eGKeGBuu4EnE7eSzTyXu+wwLsBn273yYyEHE1BCBIkM1HN08YDz09MJ0tL20Zt9mm/TxeOJTHHlgmLDzOmw1IC1HMkAYR8a13AZlHMYpflbOs7AWsIGYbQHe093Tgv4Dq+ESusj6MNZVNysQ/GRkPSqDqwpRWa0hCY3AsM2MzAtb1iy4v6UQ4N70r2U7et8a2JntsMvW4xIln7HFxkwUxMBhhZELmYUdsB4++9OiEk3n7eZxy8ilpHzO1dA2gd7g3a/lbgACNNFbNxpRuXvdcvUUi4jurch8iPhMDfgBA14ozgQtKeN97gU5HEDMP+AX1GcQAXNAd7a3X514R/snIzJ4Pzz5plY9df9nEMcFQuhKoahvxXO71zJwDy651PMYxKyAs03NubmjmvOPO44mXn8h4zHnHnZfx5D3dsIDUjS5NTHbGdrJk0pIJG2820pjMpmTKgti3O7Muqd+nm1S2atkqvvYfX2PwxcGJ95mhdM0vo5LdvO5uNxgVkeo3Wg70Jq/XISW3aXln22hzMVeW8H63A++ga8MLAN3R3tcDDwMtJXwMP7oc+ILXi6hV/glkKlUClW7E83DMCqL2bK38iOdKrWdKq7VPTIn2islmMD7IUy8/lfWYp15+ilMbT+UPw3+YUNrldlhAnDhbjm5hR2zHuFHNI4wk+1vsPVwyyTa2OdPJfNeHu5I/nzpSOVMPUGr5Wy6pwVmuzTxLQRPWROrORfipckPcusfxdakCmceA5XRtGALojvZejJX1Ob5E9+9nS1EgUzb++QeqEiVQ1TbiudrWUyJuSpRGGGHDkQ08HXt6QlO507SWaeOa7g3DSN4HwPbYdkYYGbffDIzPrDRmieczTTWD7CfztnI08HvVcO/HCWsiUpSLvV6AlFw/8AgAXSveAMwuwX3+B1Ymxg5irgI2oCDGtrA72jvD60XUKv9kZKD8JVAe7HJf9HpGhqH7VjjzfO9K3/LkpkQpk9SAZNWyVaz93lriCet1iifirP3eWtZ8YM24DS8zZVYMDKYEpjCYGEy7caa9NpgYrGQbFGArtIE/U8bllcFXetZwX+yQBhHxj+5obyP1NWGqXjywvLPNTq+Xosn//wFhujYkALqjvf8E/GsJ7reWGFjZzW97vZBa5K9ABspbApVuxLPpGPF88zVjI54rEci4WQ9AIuFd6VsB3JYoQfbSLrACBfvnbfFEfEJAlK2n41DiUMbjAkaABIm0wUq2k/nTG09n38i+cSVt9m0BAlkb+PuG+9h0ZNO4n7UzLjtiO3K+NnbDfan7VBaG/DNhTUSK9kZAe2DUHmtaWdeKEPDeIu/rJro2fAGgO9prAP8G/EOR91mrLkaBTFn4L5App2ob8ex2PTBaapawSs2WXesuM1PgEIFi+zOCBDOOP26Z0sLae9cmT85H4iMcGjqUNWMzrWXahLHHqQGRmzKwdMclzATTT54+IViB7NmWRZMWAeTdwJ9rxLFTpRvu7QlrqUEWuAvQRMRXVFZWe36/vLPNnrJzMdBc4P0kgE/SteFOSGbvvk3pxzjXkrd2R3ublne2qYm0xBTIOAVDY8HDjNaxDIhXI56zrWdqM9x4V+GlbwUOEciWLdgV28XSyUuZFZyV9aGzlSjF4/FxJ+fObEumAOTSxZdy53/cmfzeYGKZl5sysHTHTW+ZnrHULXVQQLqT+Xwa+GFi/1C2bJQXDfd+mbAmIkVb6vUCpORKsXfMMeADdG34AUB3tHcS8CDwziLXVusmAxcCP/F6IbXGP83+leDBLvcFrweswCbhKDUDKyjZ/St44qHMQwAKHCLgzBakZgcSJBhhhE1HNjEYH8z6tLLtI2NnX4DkZaamctuDjz047vtAIDAucwLZ94txc1zyvkf3dnnLpLdwTuicZGN7E010hDpYOWVlzkAum3T9Q+kGDYB3Dff2hLXVLau5ruU6VresZsmkJQpiRGpEd7T3lUB11yhLvkzgXgC6VrRi9Wzk60XgIkcQczLwKApi3NKHA2WgjIyTB7vcF7yeq9dmLzXLllkpcKiBm2yBm/6MbCVKqRmR1imtNDQ0pC3tsqVmaUzTHJe5gMxlYDCWWcmVAQkS5OzQ2cnMwzzmlbx8K5/+ITXci0iZqKys9kSXd7b1jn79fnCMoXRnP1YQ8xuA7mjvTOC/gLmlW2LNWwr8vdeLqDXKyDh5sMt9Rnb/Skoje9KMVqvEDCaWvkH28czphgiky+zs3T7ux9xkC+z+jFzsEqWOUMe4He1TMyIfe9fHxmVsUgMUyJ6ZsDMogZS/6vb1DTQky8OyZUAaaSTcEi575sHtiGOYmM2yXxs13ItIkTStrPYUU1bWB7zBEcScDfwCBTH5OrM72num14uoNQpkUtkjns863+pRwbAuzzrfur4SE8H27YaNd1hZlfjEpm9gYqnZB95u9cxcvda63D+6aa+dWXEqcKhBqTdEtEuUPjDlA8m9XDKdnNvsAGRW46xkcJKtbMwu9+oIdaQtA3M21Wd7Tuma78uhPdTu6nkZGBmDMzXci0iRXuP1AqSkYlibU0LXirOA1+bxs78DXk/Xht8DdEd7LwAeB/6mxGusF6/3egG1RqVl6VRwl/sJnP0r2aSWmt14l/tx0QUONcg2bayY/ozmhmYWHb+IzS9tHtc8n8rZVA6wbmhd1lHADTQky8AyNd2X6zkVys2I4wYaWDZ5GXuG91Sk4b7YKXUi4h/d0d424GSv1yEl9fDyzrbB0a+vzOPnfgZcQteGwwDd0d53YjX2Tyrt8urKq4Hver2IWqJAptq46V9JJ59x0bPnW9keM2HdZ+pj2OLD8N3PJscyL5h9Ok8Fe0u+IWLfcB9bXtqS9jYDgzdPejPzQvMm3Gb32aTLlrjNTFTbJo9uRxyfHjyd04Onl7xHJ1WmKXVPx57m6djTzGqcxaJJixTQiNSO87xegJTcPQB0rTBwH8j8CLicrg0vA3RHe68E/h2dNxZrodcLqDX6C1lt3G6CaQTGTxzLZ1y0m6EGYG20CcmxzBf8IcDB86aw95TGkm2ImG3fFAATk8eOPsYrGl+R9mQ5UwYnW2bHqRo3eayWEce5fjcAfSN97Bva52rstoj4wqu9XoCU1EHgx6NfvwFoc/Ez3wL+jq4NcYDuaO8NwFcgZcynFGJ+d7Q3sLyzLZH7UHFDgUy1cdu/YibgFXPgud9nz6ykGxdtDzV47L7MPTipzARGPMHSp4ZYt/hkBk8IFL0h4mB8kI1HNiZPlPOZhGafZMeJp73vOHE2HdnEyikrs66nWjd5zFYOVylu97Sxx27neq1FxBcUyNSWB5Z3ttm16m6a/G+ma8Nn7W+6o73/F/hUWVZWn07AGm2+y+uF1AoFMpkUuOt90dz2rwD8ZQ8EAhAvw7joDGVtgUSCy/50Gr981dSisgV2yZLz0/58dqov1ShoqJ4MiK1aelLSTakzTZMXDr3Al777JU45+ZS8X2sRqXoKZGqLNa2sa0UIuCzLcSZwPV0bbgfojvY2AncDV5V5ffVoIQpkSkZTy9JxTg2zgwp71/uNd1i3l0u6TTANoCFgBTXOiWSJBMw4I/9x0fZAgWzZmCxjmY/r3VXUhoiZSpbymYRWylHQUD2bPPYN97FuaB07YzuTQwiGGWZnbCfrhtbRN9xXsbVkmlJnK/S1FpHq1B3tnQ1kaMQUH3p2eWfbr0a/XgY0ZzhuGFjpCGKOBzagIKZc9GFBCSkjk2qoP3PJlZmw+kq23G+NYi5HZiZd/0q2iWT7+6y1JLNHx6yemGzZIzcDBfIZHpCnTNkUwzCwW1tyTQ0r9SjoapCtJ8Uue6tkCVemiW62cr/W1ZKZEqkjOsGqLW72jjkCvIeuDf8N0B3tbQEeRmOCy0kN/yWkQCbVrzeNBTF57HpfMnb/yqP3jF2XK6jId1y0m4EC+QwPyFOmkiXDNGgINGCaZs6pYYWOTa7mk+NSlsuVQrqJbi8ceiF5ezlHVGealrYztpNdsV0aLiBSHppYVjtM4F4AulZMBd6Z5piDwEV0bXgSoDva+wrgv4CJY0KllBZ0R3uN5Z1t7qYSSVYqLXMa6oc/O8rG8tj1vqRmzoFGx0nhjFYrmIDSBBVuBgqkbriZbXhAvg+fKZuCiWmarnaqd7NxZGoAVK6yrcH4IJuPbiYyEOG2gduIDETYfHQzg/HBvO6n1OVyxVoYGvvQyJ7o9rkPfY5TTj4l52tdDGdmyjl8Aaznbw8XyPf1FZGczvV6AVIyjy/vbOsb/fr9QDDl9j8Cb3AEMXOAX6AgphKmAGd4vYhaoYyM0zPRsa/3D8BzB8e+L3F5VU5nLMi910uhQYWbgQJ5DA/IN8vhNpsC1n4wiyctnnD/s4OzMUYnQboZm1yusq1SZg6qsVzOSJm2WYkR1dWWmRKpI7O8XoCUTLaysh3A2+na8BxAd7T3NcAmYGqF1ibwt8AfvF5ELVBGxsmZZbGzL04lLK/KaW6nFTTAWFDx7TXWpb0pZqETydINFEjNvKTKMDygkCyHm2wKQGuglUXHL+Kxo49NuP/fD/8eGBuR7BQgMGFDzNST47X3ruWGO25g7b1rOXjYCljtk2O3Sp05CDo+MJvWMs3qGaK8JVzZbI1tTe7Hk+k1AyvYKeWI6mrLTInUkb/1egFSEjHAOonpWnEW8BrHbVHgQkcQ83ZgMwpiKu0VXi+gVigj45RacpXKeZJfZHlVTnavzJb7rZ4c5+aXRsAKYtJNJHPDzYaYRgAaGmFkOOPwgEKzHG42oWykkQsnXThun5nU+wdooIHJxmQOm4eTtzUHmlk0aRGnB09PXpepLyfXmOdsSp05SNeT4rw/KG0JVy5uXjOwflel7FepxsxUranmXjHxRne09xTgeK/XISWxcXln2+Do185szEbgfXRteAmgO9p7BfAdJpadSfkpkCkRBTJO2UquTm0dy4RAYZmQfM2ck/9EMjfcBkkz52S9m0JP5N1uQvmH4T/kvP848XFBDMBgwtpo01nWVY6T41IHR24CPAOjZCVcubh9zZzHlUI+gxx0Qp4/DVKQDGZ5vQApGWtaUNcKA7hy9Lp/B66ha8MIQHe09zrgq5BSPyyVokCmRFRa5uS25OoVc8q7KaaTPZHsis/Dh75kXV5wydjjD/XDEw/BfTfBdz9rXT7xkHV9NnaQdNb5VgCHYV2edb51fY4gBoorAbI3oewIdSRLpZpooiPUwcopK5kVnOXq/tNJV9ZVjrKtfIIjNwMA7AAvtVTOKU6c7w59t+CBAvnwqtTN7SCH0xpPq5o9d/xCgxQki5leL0BK4iDwn6NfvwErQP1XujZc7Qhi1gK3oiDGS6d5vYBaoYyMk5uSq4ZGeM3Syq8tnX27J2ZV7I0792zNnVXJd2xzimKzHPYmlJmyFW7v3002qBxlW/kMLXD7iXdzoJkAgQknmelem0I+Qc8ng+FVqZvbzNS+kX1Vs+eOX2iQgmRxqtcLkJL4/vLONvvN80rgBro2fBWgO9rbAPw/4CNeLU6SlJEpEWVknOySq8bgWGbGZje7L76ictmYbIb6rSBmZHh8aRiMbtw5bN2eKzNThHJ/Yu/2/t1kgxaGFk6YcuZmzHM2bocW2Nx84u1mKEE+9+eU72CGhaGFyedXqtfMDTsz1UhjxkEOf9P4NyUf3lAPNEhBsjjF6wVISVjTyrpWNAAbHUHMccAPURBTLRTIlEhBGZlwONwMdAIDwC8jkYjpuO0E4B8ikchNJVlhpZWrL6XUnolamRjwZuNOyv+JvZv7B3fZoMHEYNbHsvty8vn0PlfmoJBPvLP13XzjR9+goaGhoE/QCxnM4LaXqRwZD7v0cFtsGz2xHo5xjCaaaA+1syC0gPuG7iv58IZ6oEEKksUMrxcgRXt2eWfbrwHo2hAHHgbojvY2Aw8Bb/RsZZJqRne0N7C8sy17+YXklHcgEw6H5wE/AaZhZXS2hsPh90QikT+OHjIZ+ALgz0AGii65qoi928cyMfbGnaZj486brxnbuDOf5zHU7wjiYlbfTIYg7rxjbUz73S85a99LNI2YfO7kj9JzbohtZ0zi8AnWX61iPrHPFijYn8IfGDhgZWpGQ+lMDeGbjmwiTjzjYwUI0Bxozmt92U70obAT7GwnmgcPH8QwjLT3tyO2g12xXRnLxdyWFD3x8hM0GU3jSs/OCJ4BBvQe650QUJSzbCtb6aFOyAuTzyAFqTsKZPzve6lXdEd7T8PqmTmn8suRLBqwsqDPe70QvyuktGwt8EvgJKzU2F4gGg6HzyzlwiSH1FHRoydyRW3cuW83bLzD6rGx79/uudl4h3W749gpm75Lxx9fIjRiYgChEZOOP77MyscO0fbC8IS9XPKVrcTIWRaTSCRoCDRk3G2+HHvI2NINLbAVcoKdrZzOvp9095cgkbVczG1J0e5ju9Pu2bPn2B7eOfmdXNdyHatbVrNk0hJPe0+qbc8dv3A7SKFSI76lqrTkPkSqmElKINMd7T0La98YBTHVSQ3/JVBIIHMB8M+RSOSvkUjk+Ugk8l7gB8Bj4XD4rNIuTzIKhsa+ntFqjYgG67KQjTvz6blxHGuY5rhDG0wIxmHpU4f5gHFR0WNcnYGC07ggARPTNCf0b9ijisvdF2BnDla3rC76BDvbiWbrSa0Z7y+V3T/z0JGHiAxEXGcw7J9Nd1/VNM1KJ+SF8arvSXxBUb+//Xx5Z5tdGUN3tPc84HE0VruaTfJ6AbWgkB6ZEMlCHkskErkhHA4bwBbg8lIsTHKYPd/KlJgJqycmtUfGFh+2xjHn6u/Jp+cGch7bkIApPU/DBW1FP1U7ULBLp2B8WQxAwkyw9t61yTIpgL9p/BuaG5orWoZUbN9QrnK6TH1CmcrFTMwJ+7zkmrDmh2lWbiab6YR8Ii/7nqTqaYqpvyWzMd3R3rcAG7BK/aV6Hef1AmpBIf9w7QbOA55xXhmJRP4+HA4HgO5SLExycDMqGiCRcDeOOZ+eGyhLf06u0cDpgoQXDr2Q/PnUHeefG3kOKN8Gi+mOnR2cnby9kE0ts51oZro/yNyPk062wQnZ7quamud1Ql64XIMU9JrVLQUy/vUysB6gO9r7fuC7KMPmB6Hch0guhfzDtQEr63JP6g2RSOS6cDjcCKwudmGSgz0qOnUfmXTMhBXwbLnfmsiWLjOTV8+Nmcex7rjZbTzdp/A33HEDidHnninD4jZLYm+w6GbH80zrfXb4WczxCcsJ7E0tMwVJ6U40c8mUacqUXck0OCE101XKrFU+QaIbOiEvXK49nKQuBXMfIlVq4/LOtsPd0d5rgdvQRpd+oUCmBPIOZCKRyFqshv9Mt38c+Hgxi/JEHtO6qoZzVLRdZgaFjWMOhsaCmRmtY1mWTD03+RybQz6jgZdOXkr3kbGkn5vJSwtDC3kmZiUQs2U1/jTyp7STzVLXAGRcrzOIyRRE2LJtapl6ojkYH5xwwu7cnT3T6+DMrrxw6AW+9N0vccrJp4xbS2oGJmBYG3KWcpqVm0C1kH4qL07ISx2QiVQJZWT8657uaO+/AJ/zeiGSFwUyJZCz2T8cDt9ciYV4Kp9pXV4Z6rd6Xe67Cb77WevyiYes2y64xNqs02aXeyUc5V4wvjQs1ez5Y5uAXn8ZnNoKAcO6tHtujIB1XD7HupDPVLFZwVmc1TQ2U8Jto3euLInzBDvXGtxuWplpsEDq47pppHcOFLAnh80LzcvY8H7p4ktZe+9aXjj0QjK7YktdS2o2J5FIlLR53hmo+mGQQDb5bioq4iMKZPzpEPAeFMT4kTJnJeDmH67PhMPhlkgkUpvlYs5pXanclGRVwr7dE0vI7EDr2SchEIC4IztQSLmXm56bhgbrOMjv2ByybQKZrj/jdce9jr3H9jLCiKtG762xrcnrs2VJ7GAn1xpMzJzrhfTlXln3cHnpCZoCTa4/6c/W8L723rXsH9if9vVOLRdLzeZMb5le0uZ5t3vYVMsggUwK2VRUxEcUyPhTC3CV14sQ8Yqb8cv3AH8XDofvG+1/mSAcDneGw+FflHZpFZI6revGu+Dqtdbl/gHreue0rkrLNRbZTIwPYqCwccx2z01jcCzbYjMC1vWLLreOy+dYF/KdKpZtf5kAgQn717gZv+yUaw1u15tu/HLWPVyGJ+7hku2T/myvg3Nd6TjLxTJltbK9pvko9/jrSinnfkQiVUA9Mv6kT/X9K3upiLiSM5CJRCJXAV8F3g90h8Ph5Li4cDh8Vjgc/g/gZ8Bry7XIsko3rSufkqxycxNopSq03MvuuTnr/NF9agzr8qzzreudE8/yOTaHQvZeSbcRZRNNdIQ6WDll5bh+i3z2UMm1hnyOTRcglHoPl+ZAM2cEz8i6rnScwUqm/UTA+t2ke03zUcnx1+VUKwGZSAbKyIiI77j6hysSifxDOBzuB74E/Hc4HP4ocB3wUaxPcZ4C0ndQV7u8pnV5INdY5HR7yBRT7jWl1eq5cTM2OZ9jsyh07xW3jd5uxy/bco0ndntsurK3Uu7hkq6BPt26DMMgkUhgMlY65gxWDIxxPUTO8cXFbmgK5Rt/XWm1EpCJZJBl9KWIlIH+nysB15/ARCKRm8Ph8GHgDmDX6NW7gX+ORCI/LMfiKiLfaV2VlivQyrSPi5MRsIKYbOVeHk5tK3RzQ7cnvW4CJWM0O29ipl1DpgAj2xS01AABSreHS7Z+DRgfRGXbSPMVja+gtaE16/jiYoOLcoy/9kI+AZmIDx0CMqefRaTUDnu9gFpgZKujt4XDYQP4ANAFzBq9+nng3Egk0p/hx7LdnwkQiUTy/dHSe+KhsdHFmcYWGwGrZKrIzENB7rtpLJi58a7xgdaprdZaE47fYcCAbztOrN0EJOmGCcD4ACiPUrFCZMouZMoO5HP8YHyQdUPrMp702z8HE0u7bHbzvJuG+AABFh2/iAOJAzn3gTl4+CBf/9HX6T+c/n+jgBHglmtvSX5/Xct1AGw+ujkZHOQa85xJAw1cOeXKrMFIvr+XdNy8/o00YmKmHX/tPMbLRno3r3mAAB2hjqoeWlAmqtP3ue5obxR4vdfrEKkjr1ne2fak14vwOzfjl98FPA38OzAD+DLwD6NfPxoOh6eXc4FlN7fTOlmHsZKsb6+xLqe3WNfnMYGr5HKNOs7W2N/YZP383u2w4Zaxkc1DjpPmXMMERoat24fyjlfzkk/PS77jfHMNB2igAQMjYxAD7nprnOvtOK5j3Ljk5ZOXp338uzfenTGIyfZJf74DDFKfcyONXDz54qxBQanGJjtf/3QaaWRm48xk9qpaG+kXhhYmf3+Z+ooKnewmUgXK+4+8iKQ6mPsQycVNadl/YNXx3QN8LhKJ/BkgHA7/BfgOEA2Hw2+NRCJ95VpkWdkTuHJlJLwavZxrLHK6HhkADGuamXOjTHtk856tY1mW1GEC+W6kmU2e5WrOnhe7nGlXbBe/i/1uXDmTc3rUlL6DXHL53bT84QADr5zGQ/f//+3de3zcdZX/8ddc0gjUkJC2IKD2W1oaW9S2C96+7mLXVVhLO4trdStUF1zQjiLI6q7gz+sqxRUVrI4K/hSkpWoVTWtRViyX3Wj50W2VS5v0lgIBIU1IGkvtZG6/P77znflmMtdkMt+5vJ999JHMJZkzQ4A5OZ9zzhWMzB7fU5JvC3w4HmZfZB+Q+whZoaNEa9ryTyd3Pv6j4UdT12dLiMCqxOTrESplgMH8pvnsi+xLvWYJEsyZNodWb2vemMs9NjnXLp8ECfqifSWN4HaDnZAVqlC53csjMkFKZEQqS4lMGRQzfvk3wJJQKHSZncQAhEKhjcDFwOnA/wSDwYVTFOPUK+MErrLLN+oYcleRSKTHMztlVlmmampbXw9s/gb0PDx2yWjPw9b1eZaMFlo6aB/vAawkZl8/3lictn39rFiVe3pUtqWSS09cysHIwYLVjWIXb+ZjP37mlLZMp55yasHf9Bc76c2PnwORA2O+f4IE+0f3F1zgWK4pXXZlJ9exsRixMcfOqrmRvpTKoUiNUSIjUjmjAdP4s9tB1IOCFZlQKHRBntvuCQaDFwC/BB4ECh/Mr1ZlmsA1JexEK1XdGAWfH+LR5BRyx2+6Pd705USicJVlKqa2jQzC/RsgnqPfIRaF3/4QjNfCoreOqc4Us3TQqW3/YbzJHiFvPEHb/tLf9BZT3ShlCEEhHc0dPBZ+DLASJGePzIyTZ4wbAJBth0uxAwxixLJWQopZ4FiuKV3FVHacqr2RvthpeSI1RomMSOXo37cymfTc+FAo9D/BYPB84NdliEdyyZZojTm6NWpNVpuzCA7sgmjyzWWuqWZ2lWUqprb94bfpJCZXIgXQ+0d4eveYYQLFHBtzGpo706rIxBPEvR6G5pb+prfU8cwwuaNES5qXsDu8mxgxZpw8g0+//9M57+vBQ5Qo9xy9Z8yksGImvTlN5GhYuaZ0ZavsZB4bcyplBLeIlI3eWIlUjo6VlUkxR8sKCoVCfwTeXI7vJSWwk5v3fgbe/0Xr4xtWpJMYKFBlCcOJJ+cfJgCFF2lmevKx9Oc3/QieHbCOqz07YF12yhgmYL/pPfnFKKsu/i6n7LWOjZ2yt59VF3+Xk1+0KjUthwa49I1radvXT9zvtZKYebPYvLH0N71n+M9IfZ5vy73d6D3Zo0StvlYumn7RuMb/TM7xzc6jdYcihwoOMLCvt79+IkfDOpo7Ut873+tyuv/0vM+j1IWkuRrp48TZE97DtmPbCg4YEJGSKZERqRwlMmVStk2+oVDoQOF7SUUUW2UBOHKY1FG0ySzSdIo7jn/1D429rX8ILl+bc5hAhAivfD7Msh1H8D89gCf5pteTSND89ACXPPACW889mb+2e2PiCYjGGZo3i/W/T/9mv9gjX8OxYfqifanLuaobxYwqLsXsptmsblnN9uPb2TeabsS3kw/7j1PmcbB8AwwWNy/mjpE7Ul87kaNhduUIcr8uAH3RPoZjwzlfm2IrO/ZUs2xHCG3VtFdGpM684HYAIg1EiUyZlC2RkSoyZ1F6WlnOqWa2jP6aSkxti+c45vaGFbS/6GHZjiM0xRiXhHlOa6cpBst2HMGXpzcGKPrIV7FH2V7uf3nZp1G1+lq58KQLufCkC1PX2btKEiSKOg6Wr19jskfDWn2tvNz/cg5FDwETn1xW7ELMBc0LWNy8mF3hXewJ7xlTyXEqpr9HREr2rNsBiDSQ7CNLpWRKZOpRvpHN/UPWYs1xPSseaJkBx46M7bfJt0gzF2dCNKttfFUGcg4TeMshP147l1p9AXz1RxCNgc9rXQa8cRg9s51pTw9k7Y0BCo4Wtjn7N1Y4qjz2BDS7yvNs9NlJb7gvNZ58Y4gfDT/KnvCevI9fbAKR7wjeM9HUoMIJj0Uupp/HrqDZiVmCRMHlk6WMfhaRgg4Ao1AFEzVE6l/u0a1SkrL0yEiVyTeyOdeIZRJWEpPZbzORSszsV6c///g/wekzrL4bvy/38s7kMIEznjqMzy4S3XkvxJJZTSxuXQZ8CfB+dCVHXnkKCcATT+CNxGg5lK7UOhcnDseG2XZsG6GhELcM3UJoKJTqs3D+1r/QBLR8I6HzjTEuRSn9JIUev5gFjnHihOPhMT0nzterHJPLiunnyayglWv0s4gUJ2AaUWCv23GINIgn3A6gXiiRqVfO3ThO5RqxnM+it4LXZ32eueemwDABT6S4QQVN7a00eazEyAO09g7y/uXf4S2PjnDyi9HUG9xCO2mc2+aH5s4k7rUSrWxVnsluuC9Gsfthinn8fAmEU0+khztG7uCbQ9+k88+d416vYuIpNLms1P0r5Rr9LCIl2e12ACINQolMmehoWb07mnGsq9QRy2NGPIetQQKFjpy1tMPSS+CBu6ydMbZihgkUOajAA5x06PCYYQCePw1yzpPHWfD0cbaeG2O4pfBOGk/yT4IEmzdeMa5HJtNUH3MqdBys1Me3E4jtx7fTM5q/kh0jluqHyWayY5FL2b9SrtHPIlISvbkSmXqDAdN4zu0g6oXH/k1nJQWDwQRAKBSq+GM3jL6e8YkE5N7r4vFa1Rvnnpq+Hms0ciyWewhAcv9LVnYStP9/x8eR6/ts35weVGDH+qdBq0cmFoOXzUjHfP2tYxOdl7WnEqWIz8Nj5iL8T3Uzv+84fX95geX9m9gbGeTU1llcHrASAKueQ9alkdmsXb92zJvqWW2zxvR8TLZvZjg2zIaRDVmTr0KPP41prGlbk/Xr7CEC+XpOnIq5j82Pv+xN98XE68XLOc3nqEemOnjcDkAmr7Or913ApoJ3FJHJeChgGue7HUS90NGyejQymExAHG+G7Sb/T37Hunzjh6w3/fZyyswRy/b3iEbGJjFgXc7Y/5KVvefm0s/DxdfC/NdbFRc81sezz7OOvzmTIWcMs9qspMXntRr+E4zt67lmJcxsTcaUsO6THCzgiyVY9N+7WPjkX2iOJljRv4meyCAxEjw33M8dP7/V+jIS+PDl7d9wmmzfSiGFjoNN9JhVzp6TF/pZe+darl13LWvXr2XgyMD4+zj6Upxy9beUQzH9PcWO2BaRoulomcjUe9ztAOqJEpl6tLvLql5AOoH5t2+nF1OOafJPyhyxnO17XL7W+mhPIbP3vxQj1/LOzONpLe3gdfxY3rzJSlBszl6ZWW1jBwgcHk49Ly/gTZAaHNATGSSerLrESfDsyOHUcs0o0bz9G+XsWylGtn6SYh4/3zGrnD0nJIjFY+MSlkIJ22SXghYykQEBIjJp+yDH3HMRKRcd4SwjJTL1ZmQwfTQL0keznDKb/GH8EbGDfxj/PTKTIHv/S7k5K0mZccLYvp58wwsglYQd/3yCx78FxgvgxcPZTe0sPnAMsN6U2/0ba9rWcHXb1axpW5Pa01Jow/3AkQHWrh9f1bD7VibCGc+rm1+d9/GhcJ9KrmTMyR6rvHb9WuKOKly2hMn5+kyVUgcEiMjkBEwjgpXMiMjUUSJTRmr2ryd2T4vzKJjzjb5tXJN/8/imfqdKTDpzymz4f9axANfvG7vUM9/wAkglYf4EdAzAlo3w7mva2TJrJWf0hXnoNYUb1QvtQXH2rZSyX6VYS5qXsDtsnfgotIcll1xDBDweD7G4VfHyeDx4PV76h/rHfG0pCVO5lTIgQETK4glggdtBiNQxHS0rI1Vk6oWzp8XptPb00Stb5ujjWbNhyzqrkpOZxGR+j2ImnU3WnEWkeoevWZneQ3P6jLF9Pfbt2UY62xxJmC8BCwc9PHHGlcxpamNaNFFUn8VU9a0Uazg+nPd2L96Cx6xy9pysvo5TTzk1VeGJx+M4B4B4PV71pYg0lp1uByBSx54NmEae5mIplSoy9SKzp8WeTDaj1WqIHxgeO6XM5vXCcweyTxWzXbNy/KQzGLP/pawWmHBgp5WU5RrZbCt0e56KzajfU3SfhX3MaVd4F3vCe8b0nBQaDzwcG2ZneCfd4W4iREqabDYcs0ZIx4jlvI8XL63e/N/HTsbs72VPacus8GRORcvsAVJfikjde8jtAETq2ANuB1BvVJGpF7l6Wg4PW8ex7IWUziTG54fT5kA8+XW5mvozl1rmmnRWLi3t1vABfxNZp7p6PNDxRut2T8aPsMdr3e5xVHSyVGziHg+JOa8tqc+i1deK0WSMG9Wcr2/ldP/peRdyFppstjO8MzVtbLK9OHYy9urmV4+bxlbouQDMnzZffSki9e8R4JjbQYjUqfvcDqDeaI9MvbjjU+nPL19rJTE2r8dKQpzOmA+vWwa//Fb6OFmevSxjFLtHZrLG9O2MWsfYnMs4c93+ioVw/53jj9k5+Zus0c+5lnpmUWjHSyYfPjx48t6/0A6W0FAolQDl2yHjxcvqltUlVUuGY8NZK0wTiVManvbI1JHOrt77gLe6HYdIHXplwDSecjuIeqKjZfUis0E+VwO81weBq9Nv4J09MYUmgOEZn0xMJXtks3NJZ06OxG16q5VkFVrmWWL8zupIy6EBVqy6jbb9hxmaO5PNG69gZHZ6YaQfP2f6z+TJ6JN5729XU3I1s+ccm5zRixMnzoaRDSybvqzoqomzkf5Q5BBbj24lnvxj8yb/6EiZSEN5CCUyIuW2T0lM+eloWb2Ysyh9zCpXA7zHC/POHfsGvqk5/Xnepv7m/PtfKq2vZ/yAgkjYurxlnXV5+VXW0s1CSzhHBmH7ZrjrC1Zl664vWJczln06l0quWHUbbfv68cbitO3rZ8Wq9MJIL14uabmEvmhf6hharvvbk81yKWWHTbl312jUsUjD+q3bAYjUIR0rmwKqyNSLVIN8PHcDfLaeljmL0ntnKt3UP1G5JrSB9Tyicev25VcVrujYI6udlRs7ITqwc8zxOWd1pG3/YbzJ43veeIK2/WOrI8CYI2X57p9vslmuscmntJxCNBbl2nXXMrNtJlcsv4IZJxeu8OSjUccikvQwcAQ42e1AROqIfkEwBVSRqRfOBvlsDfD+puzHqRaYVoIDlW/qnyjHhLaDkSEWPnMr/kNrWfjMrRyMJAcUxGLW/fJxJkTO42eQTIgi1u3JyoyzOjI0dyZxr1UdiXs9DM0dO6lsZzg9wXTgyAD7ZnqIJYtd2e6fS66xyT6fjxdGXiCeiKd210DhCo+ISCEB04gC29yOQ6SOxNG/U1NCiUw9OXN+8cepbBNNgNzkmNC2vH8T3ZFBYiTojgyyvH+TdZ9E3LpfPpkjq7NNbHMkRB3NHamkYvPGKxiaN4u4z8vQvFls3jh2YaQzmbhty2284z0xumdA1AP7ZnlT97e/by7OHTZOU727Jp/h2DDbjm0jNBTilqFbCA2F2HZs24SOtIlI1brX7QBE6sjOgGkMuR1EPdLRsnqTr0F+zJSvsJXk2I37y6/KPyGsmjgGFPREBokn+1DiJOiJOPpaIgXe0GcbWZ1IWB9v3mRVpeyEaIHJmx4f5M29z9MUTTDq99D93Q+z5awTOXJS+l8je2Hko+FHU9cdHjrM821wzoeT9/Ek+JpjMEChBZN2/8oPR36Y6rkptLtmqmQbCmCPk94T3lPSsAERqWpKZETKR8fKpogSmUZRTC9I0RPCXOaY0Da/qZ3uZDLjxcP8JueAggJv6Iud2BYJw5Z1vCQWS92nOZrgnCePs+Dp42w992SePvWEMdO9mmhK9dTkSzr8+IuaBtbqa+Wc5nOy9svYPTKQrgiVQ+YiTz/+Mcs0nezEZuvRrRrTLFIHAqZxqLOr93+Bv3I7FpE6cI/bAdQrJTKNoJTm+GqrvmTjGFCwZdZKlvdvoicyyPymdrbMKmFAQbEjqyHra+dLgC8Gy3aMsOPtC3lVu5l6A5+rSd+ZdHjwsKB5QdFPe0nzEvaE9xAnnuqXyeTFy0h8hG8MfSOVcHjxMq9pHm844Q1FJxjZKi/O4QUDRwbGPafJDhsQkaqzHiUyIpPVB/y320HUKyUyjSCzFyRzMtmstnQvSC1UZBwT2uY0tfHEGUVOaMtUzMQ2pxyvXVPcwxsPxmBWa+quxSQdPnwFj5U52f0yufa9ePAQI8ahyKExXxcnTk+kh55IDz58LGhewJLmJTmTmuHYMFuPbs27yPO2Lbelqkz2sIHrLr0uNWxAiYxIXdgI3AT43A5EpIb9OGAald8+3yDU7N8IsvWCxB29IFBcc3y1KNeAgmImtjmV8No5m/S9Gf+aefHixz+hJZO59r3Ma5pHIvknnxgxHg8/zoaRDamEJ7N5/86RO1NJzMCRAdauX8u1665l7fq1DBwZANwdNiAilREwjeeB37gdh0iN+5HbAdQzVWQaQdG9IDX0BtSe0DaZAQV2QpTZOwRWQuTzjT1SVuJrZycdu8K76A53M8oo05hGR3MHi5sXT7iPJNu+l23HtqUqNC2HBnjHe75D+4EBetrhsjXtXHDZGmacbA0YSJBILc88/4TzefAvD46p8DgrPbkqL24NGxCRilsPXOh2ECI1an/ANHa4HUQ9UyLTCIrtBSnUHF9t7AltC8x0QtPzsPWxmIRmZNAagoAnY4+MBzyM74uZwGtXqSWTznHPK1bdRuv+AXwJ6BiAH3x7kNf615JIJMb0s8SIse0v2/JWcXJVXioxbEBEqsLPgaPAdLcDEalBd7odQL1TItMIiukFKaY5vhoVM40t2/6cbF+XkrCOj2Wq4tfOnpAG0Lb/MN5k+L4EzB+AWNzqkXJWVZwJTK7m/VyVl3zDBkrp+xGR6hYwjWOdXb0/B1a7HYtIjYkDt7sdRL1TItMIHM3xqV6QbF6xcOpiyLfDZqKT0iY6jS3f1+WT67UrZrDAFHOOex6aO5PWvc/jS0DMAz3plTXj+llsuY6Q5aq8ZPIm/0yk70dEqt56lMiIlOq3AdN4yu0g6p0SmUYwphckmu7zcEok4P47c1cwJmOiVZNCJjqNrdDXQfbvlcnuoylmsMAU62ju4LHwYwBs3njFmB6Zf7jEC8m+l8x+FluuI2S5Ki8ePPjxEyFSlr4fEalqvwX+BLzM7UBEasj33Q6gESiRqTf5Kh9LV8N9P8jxhQmrQjHRfTK5HvcVC6duh022aWwJx0SxG65MTxRzJjKFvg6yf68UT+mDBabYkuYl7A7vJkaMkdkz+NHD/yd12z9lOTaWKV/zvpOz8jK7afZUPR0RqSIB04h1dvXeAXzS7VhEasQLwC/cDqIRKJGpJ4UqH6caWF3sifLuk8n3uHsfSVeAyr3DZqLT2Ir5ulzfCw+8/4ulxVkBrb5WLpp+EVuObhkzdQysqsqNF3+CxQeO0dEXZtqDcUb9h+k58yXsOutEhk/y5T1C5sVLnLgqLyKN7RbgY0Cz24GI1IBvBUzjuNtBNAIlMvWimH6RZ/amryulgjGZx3Uq12Pa/NMgmkxS8k0U8zeN/bpiprjV4GS32U2zWd2ymu3Ht7NvdF8qoXnl82GW7TiCN241/wM0RxOc8+RxXvX0cbae2wKnZj9C5sfPJS2XKHERaXAB03ius6v3h0D2RjkRsR0DvuF2EI1CiUy9KKZfxKlc+2RKedxy77A5qRWO9Fufr74AvvojiMbA57UuO+/nVMwUtyqdTlZIq6+VC0+6kAtPstY+jAz3ctKO7+OLjb+vN5HAG4NlO0a46y3tDJ+UXtyp5n0RyeIrwAfQMm2RfL4XMI0Bt4NoFEpknKZislalFNMv4lSufTKlPG6+xyQB2zeX9lq/OJz+/M57IZaMIxa3LtuP7bwfFDfFbbLTyarkZ6ml+zG7z5+DkSGW92+iJzLI/KZ2tsxayZymNvxxD2899BK2LKRsSztFpP4ETGNfZ1fv3cC73I5FpEpFgK+6HUQj0W9VbH09sGWd9Zt6+9iR3eexZV1ycWIVK7ZfxHbNSnhZO3g91seJVh1Kedxcj2kr9bWOOqo4+R4789ibPcXN32Q930I8Xuu+xU4nq6afJUeiubx/E92RQWIk6I4MsrzfGmzgScQ586nDrGlbw9VtV7OmbQ1LT1yqJEZEsvmy2wGIVLG7NHK5slSRgYnvI6kmxfR9OJVrJ0opj5tvhw2U/loX+9jZKkxnzrceI1U1GbXud2ZyK31fd/q6Uiop1faz5Eg0eyKDxJNLMOMk6IlM8mifiDScgGns6Ozq3Qb8rduxiFSZBEr0K06JDEx8H0k1ydX3MaPV6hu5fO3U7EQppt/E47EfZOwAgMm+1kU9dp4KU0u79Rjl/GdabT9LjmRvflM73clkxouH+U21McRARKrOjSiREcnUGTCNPW4H0Wh0tAyy93nEM/aK2JO1qtUC00pEIF35+P514PfB4eHxzyfFY73ZPfs8q0pQ6mLKXI97w5XphMnnh7+7zHoMp8m+1kU9dokVpsmqtp+lWbNTn26ZtZKOpnZ8eOhI9sgArg0xGI4Ns+3YNkJDIW4ZuoXQUIhtx7YxHBuueCwiUryAafwG2Ol2HCJV5ka3A2hEqsjAxPeRVBO77yPzWFPevpUy7ERxPq5zjwyMrfKcfpb1t+fh4mIr5rUu9rEreRywmn6WRgbhuQOpi3Oa2njijCxH+7zeyiZ7wKHIIbYe3Uo8+QcgQoQnwk+wJ7xHCzdFqt8XgbvdDmIitvzkB/xmy49JJBK8bcV7WPHuy7n9W2t5pOu3+JuaOO30V3LV9f/J9Je2jPm60XCYT33kPURGR4nFYrxp6YWs+sDHALgjdCM7H34QY+4Crvm01et9/69/ztGRYZa/+7KKP0epuG0B03i48N2k3FSRAasiYTutPX0UqoZ2iADpvg+v4x9rJZ6P/bhnn5d8LfNUecr9Wpfy2JVQTT9Lu7sgnkzu+ofg+lutI4bX32pdTsV5VkWTveHYMFuPbiVKdNzyzjhxokTZenSrKjMiVSxgGj8H7nc7jlI9ebCH32z5MV+57efcfPtWdnRt49mne3nteW/mGz/8Nbfc8StOf/lsfnZnaNzXNk2bxhdu2cDNd9zD12//JTu3P0TP47t48egI3Y/v5JY7fkU8HuPQgW7C4eNs+9VP+ft3XurCs5QKiwMfdzuIRqVEBqxjNfb0qnJN83JLSzvMO6/yz8fuN3nvZ6wqz3s/Y13OfIM8Fa91sY9dCdX0s1TMMTeA/kNTH4vDzvDOVALTcmiAS9+4lqtmXsulb1xLyyFr9H6cOLvCuyoal4iU7Gogy5aq6tV36ABnL1xE80tOwOf3s3Dx69n+0H+x+HV/jc9vHVKZv3Axg4efG/e1Ho+HE048CYBYNEosFsXj8eD1eolGIiQSCUbDx/H7m/jFXbdy0bv+GX/mQmapR98LmIb+h+USHS2D4vaKVLrXYjKq+flUc2zlUE3Pr5qOuTl0h7tTicyKVbfRtq8fbzxB275+Vqy6jfW/v444cbrD3Sw9cWlFYxOR4gVM47HOrt7vAB92O5ZivWLO2Wy49SZGjgzR3PwSdv7+Ac7qePWY+9y3dRNvfutFWb8+Fovxrx9YwXPPPMnfX3wpZy9cBMAb33IhH7vsIl7zV2/ixJNeyr49j/Keyz461U9H3DcEfMrtIBqZKjKQf69IqTtEqkE1P59qjq0cqun5VdMxN4cI6R6utv2H8catBMsbT9C2/3DqtlGquCdNRGyfAV5wO4hivXz2XC6+9IN87mPv4/P/+s/MntuBzx4aA2y641v4fH7Of3sg69f7fD5uvn0r37v7d+zb8yhPHrT2gr3zkg9y8+1bufyqT3HX977Ge//lY/xmy4/5z09/hJ/c/s2KPDdxxWcDpjHgdhCNTImMrdp6LSarmp9PNcc2GSODsH0zPPTj9MAFb/J/kG48v2o65ubQRPqoxdDcmcS9VoIV93oYmjszdds0qrwnTUQImMYLwKfdjqMUb7voPXzt+1u44Vs/ZnpLKy87czYA2371M3b8bhvXfvbreFJrA7Kb/tIWzln8enZtf2jM9Qf3PgHA6S83uP/Xd/Nv//FNnurdy7NP907JcxFXPQ6Mb6aSitLRMqep2Cvipmp+PtUc20T09YyfnpaIA8kqzN+8p/IJWjUdc3PoaO7gifATxImzeeMV1vGy/YcZmjuTzRuvAMCLl47mjorGJSIT9l3gg8Br3A6kGMNDA7S2zeDwc8+w/cF7+fJ3fsbO7Q9y94bv8qV1G2l+yQlZv+7I0CA+fxPTX9pCOHycP+7o4p2XfHDMfe763tcI/tsNRKNR4slhKx6Ph/Dx41P+vKTirgqYRk31iNUjJTIikzUyOH7stS0RtxKJBzda1ZhKHpmrxvHUwJLmJewJ7yFOnJHZM1j/++vG3ceLl8XNiysal4hMTMA0Yp1dvVdTI1PMvvypIH8eGcbv83PltZ9nesvJ3Pr1zxGJjPLZj70PgPkLF7HmE1/ihYHn+eaNn+QzN/2AocF+bvnSJ4jHYyTiCcy/fQfnmW9Nfd/tD/0XcztewykzTk1+j8V89H0XMvusDox5r3LlucqU2RQwjQfcDkLAk7AbgCsoGAwmAEIhVeSkDmzfDHsfsRKF/iFrIthzg1YfyjUrrWqIx2sdLXOjAjUyaI1iPvgHq7G/aZp1nGyB6VovUrY9MmAlMF682iNTe/Kfw5GG0NnVuwl4l9txiEyxY8CrAqbxlNuBiCoyIpOXbcxxwjHm+IYrrdsP/sGdRKYKj/HNbprNJS2XsCu8i+5wN6OMMo1pdDR3sLh5Ma2+VrdDFJHSXQO8FWhzOQ6RqfQFJTHVQ4mMyGRV6Zjjatfqa2XpiUs1YlmkTgRM45nOrt6PABvcjkVkijwAfMXtICRNiUwjGXPEKGxN0nL5iFFdaGpOJzOntacrMi6PORYRqbSAadzV2dUbAN7tdiwiZTYErA6YRrzgPaViNH65UfT1wJZ1Vi+H/aY7ErYub1ln3S4TU6VjjkVEXBIE/uR2ECJldmXANPrcDkLGUkWmEVTrVK1KqEQVqkrHHIuIuCFgGoOdXb2XAb9CgyCkPnw/YBo/dTsIGU8VmUawu8savwvWVK3rb4XL11of+4es62Mx6371pFJVKHvMsb8pXZmxeZJ7ZFwYcywi4paAadwLfNXtOETKYB/wUbeDkOyUyDSCbFO14o6pWpCeqlUvnFWoRMZx1kTcuv7Bjdb9yuHM+VZF6+zzrKoPHuvj2edZ11d6GaaIiPuuB/6f20GITEIEeG/ANF50OxDJTkfLGkEjTtXKrEJl2+1iV6HKNZa4Cscci4i4JWAakc6u3lXALqDF7XhEJuAzAdPY4XYQkpsqMo2gqTn9+Wnt1jQtqO+pWo1YhRIRqTIB0zgIvB/QpCepNfcB/+l2EJKfEplG0IhTtRqxCiUiUoUCpvEL4N/djkOkBPuAd2vUcvXT0bJG0IhTtbTbRUSkagRM46bOrt55QJb/AYlUlWHgooBpDLkdiBSmRKYR2FO1Htxo9YU4m989XiuJqbepWnMWWdPJEnGr6pTZIwPlq0Jp0aiISDE+DMwG3u5yHCK5RIGVAdPY63YgUhxPwj5yU0HBYDABEAqFKv7YDW3MG+5RqxpRr2+4RwatEcvZdufY/E2T353T11M4QdTEMtcNx4bZGd5Jd7ibCBGaaKKjuYMlzUto9bW6HV490K4QKUpnV28L0AWc43YsIll8KGAa33U7CCmeEhmpX1OdZFQqWZJJORQ5xNajW4kn/9i8yT/Lpi9jdtNs9wKsD0pkpGidXb2vBB4GTnU7FhGHLwVM4/+4HYSURs3+Ur+merdLoy4arSHDsWG2Ht1KlOiYJAYgTpwoUbYe3cpwbNidAEUaUMA0ngSWA39xOxaRpNuVxNQm9chIfZvK3S7ZRjwnHCOeb7gyPeJZu2VcsTO8M5XAtBwaYMWq22jbf5ihuTPZvPEKRmbPIE6cXeFdLD1xqcvRijSOgGk80tnVeymwCf1SVdz1a+AKt4OQidF/PKTxjAzC9s1w1xfgjk9ZH7dvtq4vhUY8V73ucHcqkVmx6jba9vXjjcVp29fPilW3AVZlpjvc7WaYIg0pYBp3A+8DYm7HIg3rAeBdAdOIuh2ITIwSGWksfT1WX8veR9KJSCRsXd6yzrq9WI24aLTGREj3L7XtP4w3biWb3niCtv2HU7eNomRTxA0B09gAvBdrWpRIJd0LvCNgGi+6HYhMnBIZaRwjg1bzfzQytvkfrMvRiHV7sZWZRlw0WmOaaEp9PjR3JnGvlWzGvR6G5s5M3TYNJZsibgmYxk+AlaDfKEjFbAYCAdNQn1aNUyIjjaPczfkLTGv6GaQXjX7/OuvjrDbr+npbNFpjOpo78Cb/M7d54xUMzZtF3OdlaN4sNm+0jkR78dLR3OFmmCINL2AavwDeCYQL3FVksn6KdZxMP2t1QImMNI5szflxR3M+pJvzi2EvGvU3pSszNo/Xur7eFo3WmCXNS1KJzMjsGaz//XWsO/w11v/+OkZmzwCsRGZx82I3wxQRIGAaW9E0M5laG4B/CphGnr0JUkuUyEjjmIrm/Kke8SyT0uprZdn0ZfjxpxIamxcvfvwsm75MSzFFqkTANH4DLAPUtyDl9n+B9wVMQ8Ml6ojGL0vjaGpOJzOntafHJU+2OX8qRzzLpM1ums0lLZewK7yL7nA3o4wyjWl0NHewuHmxkhiRKhMwjfs7u3ovBLYCLW7HI3UhBHwkYBqV3wIvU8qTSFT+n2kwGEwAhEKhij+2YDWz7+6yjlBFwtYb/DmLrF6Oej4GtX2zNZ0sEbd6Ym7eZFViTks259t9LR6vVVGp99dDpHw8bgcg9aezq3cB8AtgnsuhSO2KA58OmMYNbgciU0OJTKPp67Emc8ViYyd3ebxWY/r5q+r3ONTIoDViOVrE0dhGeD1EykeJjEyJzq7eVuBHwAUuhyK15wjw3oBp3ON2IDJ11CPTSMo9frjW5GvOz9QIr4eISJULmMYwVs/MTS6HIrVlD/A6JTH1T4lMIyn3+OFa5GzO9/rS1zfq6yEiUuUCphELmMYngEuB427HI1WvE3h9wDT2uh2ITD0lMo2k3OOHa5XdnO9zzLpo5NdDRKQGBExjA/Bm4Gm3Y5GqlAA+D1wcMI0/ux2MVIYSmUYyFeOHa5leDxGRmhIwjf8FzgNUKhenPwPvDJjG5zSZrLFo/HIjKXX8cL1PN5uqccwiIjJlAqbxfGdX71Lgi8DH0S9lG90u4NKAaex2OxCpPP3L30jmLEo3uV+zEl7WDl6P9fGaldb1Hq91v74ea8LX3kfSb/YjYevylnXW7bWulNdDRESqRsA0IgHT+HfgLUCvy+GIOyLAZ7Ga+pXENCiNX24kxYwf9jfB0tVw/52F77f8qtquzBT7etT68xSZehq/LK7p7Op9KfB14ANuxyIVswv454BpPOp2IOIuVWQaSb7xwx6vdf35q+CpJxpjulmxr4eSGBGRqhUwjT8HTONfgHegQQD1bhT4DFYVRkmMKJFpOM7xw03NgMf6ePZ51vVnzm+s6WbFvB4iIlL1AqbxK2Ah8G2sCVZSX3YC5wZM4z8CphF1OxipDmr2b0T2+OE3rMh+e6NN8yr0eoiISE1Ijt0Ndnb1/gj4LtDhckgyeaPAfwA3KoGRTKrIyHhNzenPT2u3pniBpnmJiEhNCJjGQ8CrgSDwvMvhyMTdDSwMmMYXlcRINkpkZDxN8xIRkRoXMI1owDS+DczFWpT4osshSfF2AH8TMI1/DJjGfreDkeqlo2Uy3gITDuyEaBxmtcENV46/j89n3U9ERKSKBUzjKPC5zq7e7wCfw5pupvc/1akXq5l/gxZbSjFUkZHxNM1LRETqTMA0nguYxoeAc4BfuByOjPUs1jHA+QHTWK8kRoql30hIdvY0r91d1nSyyKjVEzNnkVWJURIjIiI1KGAaPcDFnV29JlaF5u/cjaihPQ98FfhmwDT+4nYwUnuUyEhumuYlIiJ1KmAaXcDbOrt6FwIfBVYDJ7gbVcPYAXwD+HHANOpkBKq4QYmMiIiINKyAaTwBfLCzq/d64Argw8CZ7kZVlyLAz4BvBEzj924HI/VBiYyIiIg0vIBpDAI3dnb13gS8E7gaeJO7UdWFw8CtQChgGs+6HYzUFyUyIiIiIknJfSU/AX7S2dV7LrAG+AfgFDfjqjEJYDtWArMxYBrhAvcXmRAlMiIiIiJZBExjB/CBzq7eDwF/C7wLuBjQxJvx4sD/AD8F7g6YxjMuxyMNQImMiIiISB4B04gA9wL3dnb1rgHeAqzESmpmuhia26LAA1i9Lz8PmMbz7oYjjUaJjIiIiEiRkkfP7gPu6+zqDQLnA/8IXACc5WZsFXIUeAgreelM9haJuEKJjEyNkUHHDpowNDVrB42IiNSVgGnEgG3Jv3R29Z6BVa05P/n3bNeCK5+ngK7k398Bjyaft4jrlMhI+fX1wIMbIRaDRNy6LhKGvY/AgZ1w/ipr4aaIiEgdSfaFbEj+pbOrdwbwOuD1wBuA84A21wIsLAr8gXTS0qVeF6lmSmSkvEYGrSQmGhl/WyIO0bh1+/KrVJkREZG6FjCNAeCe5F8AOrt6Z2EdQTsLmJvxsRL9NnHgOeAQsA/oAfYm/+4LmMbxCsQgUhZKZKS8dndZlRiA/iG4eRM8NwintcM1K2FWm3X77i54wwp3YxUREamwgGn0A/3AuKWQnV29LVgJjQGcDEwHXpr8mO3vCcBx4EXH36MZl18E/gz0AU8CfQHTGJ2yJyhSQUpkpLwO/iF9nOzmTfCnQUgkrI83b4IbrrRuP/gHJTIiIiIOAdMYAXYl/4pIAV63A5A6E3HsvHoumcSA9fE5x2CTiH4ZJCIiIiITp0RGyqupOf35ae3g8VifezzW5dT9plU2LhERERGpK0pkpLzmLAJP8sfqmpXwsnbweqyP16y0rvd4rfuJiIiIiEyQemSkvBaY1ojlaNxq7L/hyvH38fms+4mIiIiITJAqMlJeLe3Wnhh/U7oyY/N4revPX6XRyyIiIiIyKarISPmdOd/aE7O7y5pOFhm1emLmLLIqMUpiRERERGSSlMjI1Ghpt8Yra8SyiIiIiEwBHS0TEREREZGao0RGRERERERqjhIZERERERGpOa72yASDQTcfXkREyiMRCoU8bgchIiKNRRUZERERERGpOZ5EIuF2DCIiIiIiIiVRRUZERERERGqOEhkREREREak5SmRERERERKTmKJEREREREZGao0RGRERERERqjqt7ZERqXTAY/C/gbcA/hkKhux3Xe4AfAO8HvhwKhT7pUogiIiIidUkVGZHJ+QQQB74YDAZ9jutvwkpiblMSIyIiIlJ+SmREJiEUCv0RuBN4FbAaIBgMXg9cC/wE+JB70YmIiIjULy3EFJmkYDB4JrAPeB6rErMOuBdYEQqFRt2MTURERKReKZERKYNgMLgWsI+Q/Q54WygUOpZxn78BPg78FXA6cFkoFLq9knGKiIiI1AsdLRMpj8OOzz+QmcQkTQceB64G/lKRqERERETqlKaWiUxSMBhchXWk7DngNKxEZU3m/UKh0D3APcmvub2CIYqIiIjUHVVkRCYhGAy+A7gDeAJ4DdAN/EswGOxwNTARERGROqdERmSCgsHgm4GfAn3A20Oh0GHg01iVzhvdjE1ERESk3imREZmAYDD4WuCXwBGsxv4/AYRCoZ8CO4BAMBj8axdDFBEREalrSmREShQMBudijVdOABeEQqEDGXe5LvnxKxUNTERERKSBqNlfpEShUGg/VlN/rtvvAzyVi0hERESk8WiPjEiFBIPB6cDc5MXfYfXRbAZeCIVCT7kWmIiIiEgN0tEykco5F9iV/HsC8Pnk519wMygRERGRWqSKjIiIiIiI1BxVZEREREREpOYokRERERERkZqjREZERERERGqOEhkREREREak5SmRERERERKTmKJEREREREZGao0RGRERERERqjhIZERERERGpOf8fm4dwo3WzoOUAAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 1008x720 with 4 Axes>"
]
@@ -769,10 +769,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:14.099836Z",
- "iopub.status.busy": "2021-01-14T07:11:14.099399Z",
- "iopub.status.idle": "2021-01-14T07:11:14.102779Z",
- "shell.execute_reply": "2021-01-14T07:11:14.102447Z"
+ "iopub.execute_input": "2021-01-26T10:05:33.819112Z",
+ "iopub.status.busy": "2021-01-26T10:05:33.818780Z",
+ "iopub.status.idle": "2021-01-26T10:05:33.820808Z",
+ "shell.execute_reply": "2021-01-26T10:05:33.821137Z"
}
},
"outputs": [
@@ -780,8 +780,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:11:14\n",
- "Duration is : 00:00:01 301ms\n",
+ "End time is : Tuesday 26 January 2021, 11:05:33\n",
+ "Duration is : 00:00:01 314ms\n",
"This notebook ends here\n"
]
}
@@ -815,7 +815,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/MNIST/01-DNN-MNIST==done==.ipynb b/MNIST/01-DNN-MNIST==done==.ipynb
index effdf04500dbd930acc7dc26019cbedf7e42307d..3fa676dfdff0d08df79277c5728c7522eecd65ea 100644
--- a/MNIST/01-DNN-MNIST==done==.ipynb
+++ b/MNIST/01-DNN-MNIST==done==.ipynb
@@ -41,10 +41,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:41.080151Z",
- "iopub.status.busy": "2021-01-14T07:11:41.079109Z",
- "iopub.status.idle": "2021-01-14T07:11:42.401579Z",
- "shell.execute_reply": "2021-01-14T07:11:42.401907Z"
+ "iopub.execute_input": "2021-01-26T10:05:59.854951Z",
+ "iopub.status.busy": "2021-01-26T10:05:59.854631Z",
+ "iopub.status.idle": "2021-01-26T10:06:01.215714Z",
+ "shell.execute_reply": "2021-01-26T10:06:01.215337Z"
}
},
"outputs": [
@@ -123,12 +123,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Version : 2.0\n",
+ "Version : 2.0.5\n",
"Notebook id : MNIST1\n",
- "Run time : Thursday 14 January 2021, 08:11:42\n",
+ "Run time : Tuesday 26 January 2021, 11:06:01\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
- "Datasets dir : /home/pjluc/datasets/fidle\n",
+ "Datasets dir : /home/pjluc/tmp/datasets\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
@@ -165,10 +165,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:42.405201Z",
- "iopub.status.busy": "2021-01-14T07:11:42.404766Z",
- "iopub.status.idle": "2021-01-14T07:11:42.616713Z",
- "shell.execute_reply": "2021-01-14T07:11:42.616979Z"
+ "iopub.execute_input": "2021-01-26T10:06:01.218814Z",
+ "iopub.status.busy": "2021-01-26T10:06:01.218501Z",
+ "iopub.status.idle": "2021-01-26T10:06:01.414060Z",
+ "shell.execute_reply": "2021-01-26T10:06:01.413709Z"
}
},
"outputs": [
@@ -204,10 +204,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:42.620358Z",
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- "iopub.status.idle": "2021-01-14T07:11:42.829269Z",
- "shell.execute_reply": "2021-01-14T07:11:42.828948Z"
+ "iopub.execute_input": "2021-01-26T10:06:01.417193Z",
+ "iopub.status.busy": "2021-01-26T10:06:01.416874Z",
+ "iopub.status.idle": "2021-01-26T10:06:01.625593Z",
+ "shell.execute_reply": "2021-01-26T10:06:01.625852Z"
}
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"outputs": [
@@ -248,10 +248,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:42.832752Z",
- "iopub.status.busy": "2021-01-14T07:11:42.832434Z",
- "iopub.status.idle": "2021-01-14T07:11:45.845534Z",
- "shell.execute_reply": "2021-01-14T07:11:45.845240Z"
+ "iopub.execute_input": "2021-01-26T10:06:01.692290Z",
+ "iopub.status.busy": "2021-01-26T10:06:01.629522Z",
+ "iopub.status.idle": "2021-01-26T10:06:04.703381Z",
+ "shell.execute_reply": "2021-01-26T10:06:04.703058Z"
}
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"outputs": [
@@ -324,10 +324,10 @@
"execution_count": 5,
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- "iopub.status.idle": "2021-01-14T07:11:45.889160Z",
- "shell.execute_reply": "2021-01-14T07:11:45.889428Z"
+ "iopub.execute_input": "2021-01-26T10:06:04.709147Z",
+ "iopub.status.busy": "2021-01-26T10:06:04.707795Z",
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+ "shell.execute_reply": "2021-01-26T10:06:04.749305Z"
}
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"outputs": [],
@@ -360,10 +360,10 @@
"execution_count": 6,
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- "iopub.status.busy": "2021-01-14T07:11:45.892530Z",
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+ "iopub.execute_input": "2021-01-26T10:06:04.752791Z",
+ "iopub.status.busy": "2021-01-26T10:06:04.752459Z",
+ "iopub.status.idle": "2021-01-26T10:06:14.350772Z",
+ "shell.execute_reply": "2021-01-26T10:06:14.351161Z"
}
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"outputs": [
@@ -379,7 +379,7 @@
"output_type": "stream",
"text": [
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 2.3057 - accuracy: 0.1074"
+ " 1/118 [..............................] - ETA: 0s - loss: 2.3471 - accuracy: 0.0801"
]
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{
@@ -387,7 +387,7 @@
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+ " 6/118 [>.............................] - ETA: 0s - loss: 2.1382 - accuracy: 0.3034"
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{
@@ -395,7 +395,7 @@
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+ " 16/118 [===>..........................] - ETA: 0s - loss: 1.7215 - accuracy: 0.5464"
]
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{
@@ -403,7 +403,7 @@
"output_type": "stream",
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+ " 27/118 [=====>........................] - ETA: 0s - loss: 1.3412 - accuracy: 0.6557"
]
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{
@@ -411,7 +411,7 @@
"output_type": "stream",
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+ " 39/118 [========>.....................] - ETA: 0s - loss: 1.0861 - accuracy: 0.7192"
]
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{
@@ -419,7 +419,7 @@
"output_type": "stream",
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+ " 51/118 [===========>..................] - ETA: 0s - loss: 0.9212 - accuracy: 0.7598"
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{
@@ -427,7 +427,7 @@
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+ " 65/118 [===============>..............] - ETA: 0s - loss: 0.7983 - accuracy: 0.7898"
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{
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+ " 79/118 [===================>..........] - ETA: 0s - loss: 0.7145 - accuracy: 0.8105"
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{
@@ -443,7 +443,7 @@
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+ " 93/118 [======================>.......] - ETA: 0s - loss: 0.6522 - accuracy: 0.8258"
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{
@@ -451,7 +451,15 @@
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- "118/118 [==============================] - 1s 5ms/step - loss: 0.5845 - accuracy: 0.8427 - val_loss: 0.2623 - val_accuracy: 0.9226\n"
+ "108/118 [==========================>...] - ETA: 0s - loss: 0.5994 - accuracy: 0.8394"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ "118/118 [==============================] - 1s 6ms/step - loss: 0.5722 - accuracy: 0.8464 - val_loss: 0.2546 - val_accuracy: 0.9239\n"
]
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{
@@ -460,7 +468,7 @@
"text": [
"Epoch 2/16\n",
"\r",
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+ " 1/118 [..............................] - ETA: 0s - loss: 0.3287 - accuracy: 0.9219"
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+ " 27/118 [=====>........................] - ETA: 0s - loss: 0.2510 - accuracy: 0.9285"
]
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{
@@ -484,7 +492,7 @@
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+ " 40/118 [=========>....................] - ETA: 0s - loss: 0.2469 - accuracy: 0.9302"
]
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{
@@ -492,7 +500,7 @@
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+ " 54/118 [============>.................] - ETA: 0s - loss: 0.2398 - accuracy: 0.9319"
]
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{
@@ -500,7 +508,7 @@
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+ " 68/118 [================>.............] - ETA: 0s - loss: 0.2352 - accuracy: 0.9332"
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{
@@ -508,7 +516,7 @@
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{
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{
@@ -524,7 +532,7 @@
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{
@@ -532,7 +540,7 @@
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- "118/118 [==============================] - 1s 4ms/step - loss: 0.2163 - accuracy: 0.9382 - val_loss: 0.1891 - val_accuracy: 0.9446\n"
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]
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{
@@ -541,7 +549,7 @@
"text": [
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{
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+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.1757 - accuracy: 0.9487"
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{
@@ -557,7 +565,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 29/118 [======>.......................] - ETA: 0s - loss: 0.1805 - accuracy: 0.9489"
+ " 28/118 [======>.......................] - ETA: 0s - loss: 0.1719 - accuracy: 0.9489"
]
},
{
@@ -565,7 +573,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 43/118 [=========>....................] - ETA: 0s - loss: 0.1746 - accuracy: 0.9504"
+ " 42/118 [=========>....................] - ETA: 0s - loss: 0.1685 - accuracy: 0.9504"
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{
@@ -573,7 +581,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 56/118 [=============>................] - ETA: 0s - loss: 0.1704 - accuracy: 0.9510"
+ " 56/118 [=============>................] - ETA: 0s - loss: 0.1714 - accuracy: 0.9498"
]
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{
@@ -581,7 +589,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 70/118 [================>.............] - ETA: 0s - loss: 0.1677 - accuracy: 0.9518"
+ " 71/118 [=================>............] - ETA: 0s - loss: 0.1692 - accuracy: 0.9503"
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{
@@ -589,7 +597,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 84/118 [====================>.........] - ETA: 0s - loss: 0.1661 - accuracy: 0.9521"
+ " 86/118 [====================>.........] - ETA: 0s - loss: 0.1679 - accuracy: 0.9511"
]
},
{
@@ -597,7 +605,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 98/118 [=======================>......] - ETA: 0s - loss: 0.1634 - accuracy: 0.9528"
+ "101/118 [========================>.....] - ETA: 0s - loss: 0.1652 - accuracy: 0.9517"
]
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{
@@ -605,7 +613,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "113/118 [===========================>..] - ETA: 0s - loss: 0.1612 - accuracy: 0.9533"
+ "116/118 [============================>.] - ETA: 0s - loss: 0.1628 - accuracy: 0.9521"
]
},
{
@@ -613,7 +621,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.1603 - accuracy: 0.9535 - val_loss: 0.1489 - val_accuracy: 0.9560\n"
+ "118/118 [==============================] - 0s 4ms/step - loss: 0.1624 - accuracy: 0.9523 - val_loss: 0.1435 - val_accuracy: 0.9564\n"
]
},
{
@@ -622,7 +630,7 @@
"text": [
"Epoch 4/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.1128 - accuracy: 0.9746"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.1724 - accuracy: 0.9531"
]
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{
@@ -630,7 +638,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 15/118 [==>...........................] - ETA: 0s - loss: 0.1480 - accuracy: 0.9590"
+ " 15/118 [==>...........................] - ETA: 0s - loss: 0.1399 - accuracy: 0.9586"
]
},
{
@@ -638,7 +646,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 29/118 [======>.......................] - ETA: 0s - loss: 0.1364 - accuracy: 0.9630"
+ " 29/118 [======>.......................] - ETA: 0s - loss: 0.1350 - accuracy: 0.9591"
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},
{
@@ -646,7 +654,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 43/118 [=========>....................] - ETA: 0s - loss: 0.1331 - accuracy: 0.9598"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 57/118 [=============>................] - ETA: 0s - loss: 0.1332 - accuracy: 0.9599"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 71/118 [=================>............] - ETA: 0s - loss: 0.1353 - accuracy: 0.9618"
+ " 71/118 [=================>............] - ETA: 0s - loss: 0.1315 - accuracy: 0.9607"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 86/118 [====================>.........] - ETA: 0s - loss: 0.1310 - accuracy: 0.9609"
]
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{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ "100/118 [========================>.....] - ETA: 0s - loss: 0.1299 - accuracy: 0.9615"
]
},
{
@@ -686,7 +694,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "114/118 [===========================>..] - ETA: 0s - loss: 0.1291 - accuracy: 0.9632"
+ "115/118 [============================>.] - ETA: 0s - loss: 0.1295 - accuracy: 0.9618"
]
},
{
@@ -694,7 +702,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.1289 - accuracy: 0.9632 - val_loss: 0.1295 - val_accuracy: 0.9602\n"
+ "118/118 [==============================] - 0s 4ms/step - loss: 0.1294 - accuracy: 0.9619 - val_loss: 0.1232 - val_accuracy: 0.9641\n"
]
},
{
@@ -703,7 +711,15 @@
"text": [
"Epoch 5/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0794 - accuracy: 0.9805"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0918 - accuracy: 0.9766"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.1141 - accuracy: 0.9668"
]
},
{
@@ -711,7 +727,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 28/118 [======>.......................] - ETA: 0s - loss: 0.1142 - accuracy: 0.9666"
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},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 42/118 [=========>....................] - ETA: 0s - loss: 0.1123 - accuracy: 0.9671"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 49/118 [===========>..................] - ETA: 0s - loss: 0.1091 - accuracy: 0.9689"
+ " 55/118 [============>.................] - ETA: 0s - loss: 0.1090 - accuracy: 0.9683"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 64/118 [===============>..............] - ETA: 0s - loss: 0.1087 - accuracy: 0.9688"
+ " 69/118 [================>.............] - ETA: 0s - loss: 0.1070 - accuracy: 0.9688"
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{
@@ -743,7 +759,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 83/118 [====================>.........] - ETA: 0s - loss: 0.1073 - accuracy: 0.9687"
]
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 97/118 [=======================>......] - ETA: 0s - loss: 0.1063 - accuracy: 0.9689"
]
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "110/118 [==========================>...] - ETA: 0s - loss: 0.1084 - accuracy: 0.9687"
+ "111/118 [===========================>..] - ETA: 0s - loss: 0.1060 - accuracy: 0.9690"
]
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.1088 - accuracy: 0.9685 - val_loss: 0.1109 - val_accuracy: 0.9661\n"
+ "118/118 [==============================] - 1s 4ms/step - loss: 0.1058 - accuracy: 0.9691 - val_loss: 0.1112 - val_accuracy: 0.9670\n"
]
},
{
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"output_type": "stream",
"text": [
"\r",
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+ " 1/118 [..............................] - ETA: 0s - loss: 0.0788 - accuracy: 0.9785"
]
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{
@@ -790,7 +806,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.0902 - accuracy: 0.9739"
]
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 27/118 [=====>........................] - ETA: 0s - loss: 0.0922 - accuracy: 0.9732"
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},
{
@@ -806,7 +822,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 42/118 [=========>....................] - ETA: 0s - loss: 0.0946 - accuracy: 0.9720"
+ " 40/118 [=========>....................] - ETA: 0s - loss: 0.0920 - accuracy: 0.9733"
]
},
{
@@ -814,7 +830,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 57/118 [=============>................] - ETA: 0s - loss: 0.0947 - accuracy: 0.9725"
+ " 54/118 [============>.................] - ETA: 0s - loss: 0.0923 - accuracy: 0.9731"
]
},
{
@@ -822,7 +838,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 69/118 [================>.............] - ETA: 0s - loss: 0.0917 - accuracy: 0.9735"
]
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{
@@ -830,7 +846,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 83/118 [====================>.........] - ETA: 0s - loss: 0.0914 - accuracy: 0.9736"
]
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{
@@ -838,7 +854,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "102/118 [========================>.....] - ETA: 0s - loss: 0.0945 - accuracy: 0.9724"
+ " 98/118 [=======================>......] - ETA: 0s - loss: 0.0903 - accuracy: 0.9736"
]
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{
@@ -846,7 +862,7 @@
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- "117/118 [============================>.] - ETA: 0s - loss: 0.0937 - accuracy: 0.9726"
+ "113/118 [===========================>..] - ETA: 0s - loss: 0.0896 - accuracy: 0.9738"
]
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{
@@ -854,7 +870,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0936 - accuracy: 0.9727 - val_loss: 0.1040 - val_accuracy: 0.9688\n"
+ "118/118 [==============================] - 0s 4ms/step - loss: 0.0894 - accuracy: 0.9739 - val_loss: 0.0986 - val_accuracy: 0.9686\n"
]
},
{
@@ -863,7 +879,7 @@
"text": [
"Epoch 7/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.1124 - accuracy: 0.9629"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0484 - accuracy: 0.9844"
]
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{
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+ " 15/118 [==>...........................] - ETA: 0s - loss: 0.0739 - accuracy: 0.9777"
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},
{
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"output_type": "stream",
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- " 29/118 [======>.......................] - ETA: 0s - loss: 0.0852 - accuracy: 0.9749"
+ " 29/118 [======>.......................] - ETA: 0s - loss: 0.0763 - accuracy: 0.9772"
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},
{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 43/118 [=========>....................] - ETA: 0s - loss: 0.0769 - accuracy: 0.9765"
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{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 56/118 [=============>................] - ETA: 0s - loss: 0.0784 - accuracy: 0.9760"
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{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 71/118 [=================>............] - ETA: 0s - loss: 0.0793 - accuracy: 0.9760"
]
},
{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 86/118 [====================>.........] - ETA: 0s - loss: 0.0804 - accuracy: 0.9755"
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},
{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ "102/118 [========================>.....] - ETA: 0s - loss: 0.0791 - accuracy: 0.9762"
]
},
{
@@ -927,7 +943,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "113/118 [===========================>..] - ETA: 0s - loss: 0.0822 - accuracy: 0.9760"
+ "118/118 [==============================] - ETA: 0s - loss: 0.0785 - accuracy: 0.9764"
]
},
{
@@ -935,16 +951,22 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 1s 4ms/step - loss: 0.0816 - accuracy: 0.9762 - val_loss: 0.0959 - val_accuracy: 0.9707\n"
+ "118/118 [==============================] - 1s 4ms/step - loss: 0.0785 - accuracy: 0.9764 - val_loss: 0.0968 - val_accuracy: 0.9687\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 8/16\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 8/16\n",
"\r",
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+ " 1/118 [..............................] - ETA: 0s - loss: 0.0510 - accuracy: 0.9863"
]
},
{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 15/118 [==>...........................] - ETA: 0s - loss: 0.0659 - accuracy: 0.9798"
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 29/118 [======>.......................] - ETA: 0s - loss: 0.0679 - accuracy: 0.9801"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 44/118 [==========>...................] - ETA: 0s - loss: 0.0682 - accuracy: 0.9802"
]
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 60/118 [==============>...............] - ETA: 0s - loss: 0.0679 - accuracy: 0.9804"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 76/118 [==================>...........] - ETA: 0s - loss: 0.0665 - accuracy: 0.9810"
]
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{
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"output_type": "stream",
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+ " 92/118 [======================>.......] - ETA: 0s - loss: 0.0671 - accuracy: 0.9808"
]
},
{
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ "108/118 [==========================>...] - ETA: 0s - loss: 0.0669 - accuracy: 0.9808"
]
},
{
@@ -1008,7 +1030,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0708 - accuracy: 0.9793 - val_loss: 0.0917 - val_accuracy: 0.9711\n"
+ "118/118 [==============================] - 1s 4ms/step - loss: 0.0669 - accuracy: 0.9806 - val_loss: 0.0895 - val_accuracy: 0.9717\n"
]
},
{
@@ -1017,7 +1039,15 @@
"text": [
"Epoch 9/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0478 - accuracy: 0.9863"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0547 - accuracy: 0.9922"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.0634 - accuracy: 0.9809"
]
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 27/118 [=====>........................] - ETA: 0s - loss: 0.0612 - accuracy: 0.9819"
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 44/118 [==========>...................] - ETA: 0s - loss: 0.0571 - accuracy: 0.9843"
+ " 53/118 [============>.................] - ETA: 0s - loss: 0.0607 - accuracy: 0.9814"
]
},
{
@@ -1049,7 +1079,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 59/118 [==============>...............] - ETA: 0s - loss: 0.0595 - accuracy: 0.9834"
+ " 66/118 [===============>..............] - ETA: 0s - loss: 0.0613 - accuracy: 0.9815"
]
},
{
@@ -1057,7 +1087,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 75/118 [==================>...........] - ETA: 0s - loss: 0.0599 - accuracy: 0.9828"
+ " 79/118 [===================>..........] - ETA: 0s - loss: 0.0611 - accuracy: 0.9814"
]
},
{
@@ -1065,7 +1095,7 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 91/118 [======================>.......] - ETA: 0s - loss: 0.0615 - accuracy: 0.9826"
+ " 92/118 [======================>.......] - ETA: 0s - loss: 0.0622 - accuracy: 0.9813"
]
},
{
@@ -1073,7 +1103,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "106/118 [=========================>....] - ETA: 0s - loss: 0.0614 - accuracy: 0.9823"
+ "105/118 [=========================>....] - ETA: 0s - loss: 0.0614 - accuracy: 0.9817"
]
},
{
@@ -1081,7 +1111,15 @@
"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0618 - accuracy: 0.9821 - val_loss: 0.0875 - val_accuracy: 0.9740\n"
+ "118/118 [==============================] - ETA: 0s - loss: 0.0610 - accuracy: 0.9818"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "118/118 [==============================] - 1s 6ms/step - loss: 0.0610 - accuracy: 0.9818 - val_loss: 0.0881 - val_accuracy: 0.9728\n"
]
},
{
@@ -1090,7 +1128,15 @@
"text": [
"Epoch 10/16\n",
"\r",
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+ " 1/118 [..............................] - ETA: 0s - loss: 0.0347 - accuracy: 0.9922"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.0466 - accuracy: 0.9862"
]
},
{
@@ -1098,7 +1144,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 15/118 [==>...........................] - ETA: 0s - loss: 0.0553 - accuracy: 0.9857"
+ " 27/118 [=====>........................] - ETA: 0s - loss: 0.0493 - accuracy: 0.9860"
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},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 30/118 [======>.......................] - ETA: 0s - loss: 0.0565 - accuracy: 0.9852"
+ " 40/118 [=========>....................] - ETA: 0s - loss: 0.0497 - accuracy: 0.9853"
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},
{
@@ -1114,7 +1160,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 45/118 [==========>...................] - ETA: 0s - loss: 0.0551 - accuracy: 0.9848"
+ " 53/118 [============>.................] - ETA: 0s - loss: 0.0496 - accuracy: 0.9854"
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},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 67/118 [================>.............] - ETA: 0s - loss: 0.0500 - accuracy: 0.9851"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 80/118 [===================>..........] - ETA: 0s - loss: 0.0500 - accuracy: 0.9852"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 93/118 [======================>.......] - ETA: 0s - loss: 0.0504 - accuracy: 0.9852"
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{
@@ -1146,7 +1192,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "105/118 [=========================>....] - ETA: 0s - loss: 0.0556 - accuracy: 0.9843"
+ "107/118 [==========================>...] - ETA: 0s - loss: 0.0513 - accuracy: 0.9849"
]
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{
@@ -1154,7 +1200,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0559 - accuracy: 0.9843 - val_loss: 0.0869 - val_accuracy: 0.9733\n"
+ "118/118 [==============================] - 1s 6ms/step - loss: 0.0517 - accuracy: 0.9847 - val_loss: 0.0875 - val_accuracy: 0.9732\n"
]
},
{
@@ -1163,7 +1209,7 @@
"text": [
"Epoch 11/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0294 - accuracy: 0.9980"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0657 - accuracy: 0.9688"
]
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{
@@ -1171,7 +1217,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 15/118 [==>...........................] - ETA: 0s - loss: 0.0444 - accuracy: 0.9891"
+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.0498 - accuracy: 0.9848"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 27/118 [=====>........................] - ETA: 0s - loss: 0.0471 - accuracy: 0.9865"
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 40/118 [=========>....................] - ETA: 0s - loss: 0.0473 - accuracy: 0.9871"
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 53/118 [============>.................] - ETA: 0s - loss: 0.0475 - accuracy: 0.9868"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 66/118 [===============>..............] - ETA: 0s - loss: 0.0470 - accuracy: 0.9864"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 79/118 [===================>..........] - ETA: 0s - loss: 0.0465 - accuracy: 0.9866"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 92/118 [======================>.......] - ETA: 0s - loss: 0.0465 - accuracy: 0.9865"
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{
@@ -1227,7 +1273,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ "105/118 [=========================>....] - ETA: 0s - loss: 0.0462 - accuracy: 0.9868"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0490 - accuracy: 0.9859 - val_loss: 0.0848 - val_accuracy: 0.9725\n"
+ "118/118 [==============================] - 1s 6ms/step - loss: 0.0466 - accuracy: 0.9865 - val_loss: 0.0778 - val_accuracy: 0.9755\n"
]
},
{
@@ -1244,7 +1290,7 @@
"text": [
"Epoch 12/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0283 - accuracy: 0.9883"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0301 - accuracy: 0.9961"
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},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 15/118 [==>...........................] - ETA: 0s - loss: 0.0411 - accuracy: 0.9882"
+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.0408 - accuracy: 0.9891"
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{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 27/118 [=====>........................] - ETA: 0s - loss: 0.0413 - accuracy: 0.9888"
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 39/118 [========>.....................] - ETA: 0s - loss: 0.0419 - accuracy: 0.9888"
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{
@@ -1276,7 +1322,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 62/118 [==============>...............] - ETA: 0s - loss: 0.0430 - accuracy: 0.9882"
+ " 52/118 [============>.................] - ETA: 0s - loss: 0.0410 - accuracy: 0.9888"
]
},
{
@@ -1284,7 +1330,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 77/118 [==================>...........] - ETA: 0s - loss: 0.0437 - accuracy: 0.9879"
+ " 65/118 [===============>..............] - ETA: 0s - loss: 0.0400 - accuracy: 0.9890"
]
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{
@@ -1292,7 +1338,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 93/118 [======================>.......] - ETA: 0s - loss: 0.0442 - accuracy: 0.9877"
+ " 78/118 [==================>...........] - ETA: 0s - loss: 0.0407 - accuracy: 0.9886"
]
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{
@@ -1300,7 +1346,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "109/118 [==========================>...] - ETA: 0s - loss: 0.0440 - accuracy: 0.9877"
+ " 91/118 [======================>.......] - ETA: 0s - loss: 0.0411 - accuracy: 0.9885"
]
},
{
@@ -1308,37 +1354,48 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0447 - accuracy: 0.9876 - val_loss: 0.0823 - val_accuracy: 0.9732\n"
+ "104/118 [=========================>....] - ETA: 0s - loss: 0.0413 - accuracy: 0.9883"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 13/16\n"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "118/118 [==============================] - ETA: 0s - loss: 0.0413 - accuracy: 0.9883"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ "118/118 [==============================] - 1s 5ms/step - loss: 0.0413 - accuracy: 0.9883 - val_loss: 0.0879 - val_accuracy: 0.9732\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 13/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0367 - accuracy: 0.9863"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0354 - accuracy: 0.9902"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ " 15/118 [==>...........................] - ETA: 0s - loss: 0.0383 - accuracy: 0.9891"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\r",
- " 16/118 [===>..........................] - ETA: 0s - loss: 0.0412 - accuracy: 0.9868"
+ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
+ " 29/118 [======>.......................] - ETA: 0s - loss: 0.0413 - accuracy: 0.9886"
]
},
{
@@ -1346,7 +1403,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 31/118 [======>.......................] - ETA: 0s - loss: 0.0397 - accuracy: 0.9879"
+ " 43/118 [=========>....................] - ETA: 0s - loss: 0.0394 - accuracy: 0.9889"
]
},
{
@@ -1354,7 +1411,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 46/118 [==========>...................] - ETA: 0s - loss: 0.0379 - accuracy: 0.9886"
+ " 57/118 [=============>................] - ETA: 0s - loss: 0.0382 - accuracy: 0.9889"
]
},
{
@@ -1362,7 +1419,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 61/118 [==============>...............] - ETA: 0s - loss: 0.0390 - accuracy: 0.9882"
+ " 72/118 [=================>............] - ETA: 0s - loss: 0.0377 - accuracy: 0.9891"
]
},
{
@@ -1370,7 +1427,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 76/118 [==================>...........] - ETA: 0s - loss: 0.0398 - accuracy: 0.9881"
+ " 87/118 [=====================>........] - ETA: 0s - loss: 0.0387 - accuracy: 0.9888"
]
},
{
@@ -1378,7 +1435,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 91/118 [======================>.......] - ETA: 0s - loss: 0.0405 - accuracy: 0.9879"
+ "102/118 [========================>.....] - ETA: 0s - loss: 0.0384 - accuracy: 0.9888"
]
},
{
@@ -1386,7 +1443,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "106/118 [=========================>....] - ETA: 0s - loss: 0.0400 - accuracy: 0.9879"
+ "117/118 [============================>.] - ETA: 0s - loss: 0.0386 - accuracy: 0.9887"
]
},
{
@@ -1394,7 +1451,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0404 - accuracy: 0.9880 - val_loss: 0.0821 - val_accuracy: 0.9745\n"
+ "118/118 [==============================] - 0s 4ms/step - loss: 0.0386 - accuracy: 0.9887 - val_loss: 0.0819 - val_accuracy: 0.9737\n"
]
},
{
@@ -1403,7 +1460,7 @@
"text": [
"Epoch 14/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0312 - accuracy: 0.9922"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0368 - accuracy: 0.9844"
]
},
{
@@ -1411,7 +1468,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 15/118 [==>...........................] - ETA: 0s - loss: 0.0346 - accuracy: 0.9914"
+ " 16/118 [===>..........................] - ETA: 0s - loss: 0.0340 - accuracy: 0.9902"
]
},
{
@@ -1419,7 +1476,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 29/118 [======>.......................] - ETA: 0s - loss: 0.0347 - accuracy: 0.9908"
+ " 31/118 [======>.......................] - ETA: 0s - loss: 0.0314 - accuracy: 0.9917"
]
},
{
@@ -1427,7 +1484,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 44/118 [==========>...................] - ETA: 0s - loss: 0.0348 - accuracy: 0.9906"
+ " 46/118 [==========>...................] - ETA: 0s - loss: 0.0319 - accuracy: 0.9910"
]
},
{
@@ -1435,7 +1492,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 59/118 [==============>...............] - ETA: 0s - loss: 0.0338 - accuracy: 0.9909"
+ " 61/118 [==============>...............] - ETA: 0s - loss: 0.0333 - accuracy: 0.9905"
]
},
{
@@ -1443,7 +1500,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 74/118 [=================>............] - ETA: 0s - loss: 0.0347 - accuracy: 0.9906"
+ " 76/118 [==================>...........] - ETA: 0s - loss: 0.0338 - accuracy: 0.9902"
]
},
{
@@ -1451,7 +1508,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 89/118 [=====================>........] - ETA: 0s - loss: 0.0355 - accuracy: 0.9903"
+ " 91/118 [======================>.......] - ETA: 0s - loss: 0.0342 - accuracy: 0.9901"
]
},
{
@@ -1459,7 +1516,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "104/118 [=========================>....] - ETA: 0s - loss: 0.0357 - accuracy: 0.9902"
+ "106/118 [=========================>....] - ETA: 0s - loss: 0.0346 - accuracy: 0.9900"
]
},
{
@@ -1467,7 +1524,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0367 - accuracy: 0.9898 - val_loss: 0.0826 - val_accuracy: 0.9745\n"
+ "118/118 [==============================] - 0s 4ms/step - loss: 0.0341 - accuracy: 0.9902 - val_loss: 0.0798 - val_accuracy: 0.9752\n"
]
},
{
@@ -1476,7 +1533,7 @@
"text": [
"Epoch 15/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0440 - accuracy: 0.9941"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0317 - accuracy: 0.9941"
]
},
{
@@ -1484,7 +1541,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 15/118 [==>...........................] - ETA: 0s - loss: 0.0309 - accuracy: 0.9917"
+ " 15/118 [==>...........................] - ETA: 0s - loss: 0.0319 - accuracy: 0.9898"
]
},
{
@@ -1492,7 +1549,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 29/118 [======>.......................] - ETA: 0s - loss: 0.0335 - accuracy: 0.9906"
+ " 29/118 [======>.......................] - ETA: 0s - loss: 0.0304 - accuracy: 0.9910"
]
},
{
@@ -1500,7 +1557,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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+ " 44/118 [==========>...................] - ETA: 0s - loss: 0.0299 - accuracy: 0.9917"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 57/118 [=============>................] - ETA: 0s - loss: 0.0327 - accuracy: 0.9904"
+ " 60/118 [==============>...............] - ETA: 0s - loss: 0.0293 - accuracy: 0.9920"
]
},
{
@@ -1516,7 +1573,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 71/118 [=================>............] - ETA: 0s - loss: 0.0330 - accuracy: 0.9905"
+ " 76/118 [==================>...........] - ETA: 0s - loss: 0.0298 - accuracy: 0.9918"
]
},
{
@@ -1524,7 +1581,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 85/118 [====================>.........] - ETA: 0s - loss: 0.0330 - accuracy: 0.9906"
+ " 92/118 [======================>.......] - ETA: 0s - loss: 0.0294 - accuracy: 0.9920"
]
},
{
@@ -1532,7 +1589,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 99/118 [========================>.....] - ETA: 0s - loss: 0.0329 - accuracy: 0.9906"
+ "108/118 [==========================>...] - ETA: 0s - loss: 0.0292 - accuracy: 0.9921"
]
},
{
@@ -1540,24 +1597,22 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "113/118 [===========================>..] - ETA: 0s - loss: 0.0327 - accuracy: 0.9906"
+ "118/118 [==============================] - 0s 4ms/step - loss: 0.0296 - accuracy: 0.9919 - val_loss: 0.0774 - val_accuracy: 0.9766\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0326 - accuracy: 0.9907 - val_loss: 0.0758 - val_accuracy: 0.9769\n"
+ "Epoch 16/16\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 16/16\n",
"\r",
- " 1/118 [..............................] - ETA: 0s - loss: 0.0309 - accuracy: 0.9941"
+ " 1/118 [..............................] - ETA: 0s - loss: 0.0262 - accuracy: 0.9902"
]
},
{
@@ -1565,7 +1620,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 14/118 [==>...........................] - ETA: 0s - loss: 0.0271 - accuracy: 0.9936"
+ " 14/118 [==>...........................] - ETA: 0s - loss: 0.0279 - accuracy: 0.9919"
]
},
{
@@ -1573,7 +1628,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 29/118 [======>.......................] - ETA: 0s - loss: 0.0246 - accuracy: 0.9936"
+ " 24/118 [=====>........................] - ETA: 0s - loss: 0.0269 - accuracy: 0.9924"
]
},
{
@@ -1581,7 +1636,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 44/118 [==========>...................] - ETA: 0s - loss: 0.0265 - accuracy: 0.9929"
+ " 39/118 [========>.....................] - ETA: 0s - loss: 0.0277 - accuracy: 0.9921"
]
},
{
@@ -1589,7 +1644,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 59/118 [==============>...............] - ETA: 0s - loss: 0.0262 - accuracy: 0.9932"
+ " 55/118 [============>.................] - ETA: 0s - loss: 0.0278 - accuracy: 0.9923"
]
},
{
@@ -1597,7 +1652,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 75/118 [==================>...........] - ETA: 0s - loss: 0.0270 - accuracy: 0.9930"
+ " 71/118 [=================>............] - ETA: 0s - loss: 0.0281 - accuracy: 0.9922"
]
},
{
@@ -1605,7 +1660,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- " 91/118 [======================>.......] - ETA: 0s - loss: 0.0268 - accuracy: 0.9930"
+ " 87/118 [=====================>........] - ETA: 0s - loss: 0.0282 - accuracy: 0.9921"
]
},
{
@@ -1613,7 +1668,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "107/118 [==========================>...] - ETA: 0s - loss: 0.0274 - accuracy: 0.9928"
+ "103/118 [=========================>....] - ETA: 0s - loss: 0.0275 - accuracy: 0.9923"
]
},
{
@@ -1621,7 +1676,7 @@
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
- "118/118 [==============================] - 0s 4ms/step - loss: 0.0278 - accuracy: 0.9926 - val_loss: 0.0800 - val_accuracy: 0.9756\n"
+ "118/118 [==============================] - 0s 4ms/step - loss: 0.0272 - accuracy: 0.9923 - val_loss: 0.0807 - val_accuracy: 0.9755\n"
]
}
],
@@ -1649,10 +1704,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:54.142442Z",
- "iopub.status.busy": "2021-01-14T07:11:54.142096Z",
- "iopub.status.idle": "2021-01-14T07:11:54.411581Z",
- "shell.execute_reply": "2021-01-14T07:11:54.411880Z"
+ "iopub.execute_input": "2021-01-26T10:06:14.354480Z",
+ "iopub.status.busy": "2021-01-26T10:06:14.354119Z",
+ "iopub.status.idle": "2021-01-26T10:06:14.645722Z",
+ "shell.execute_reply": "2021-01-26T10:06:14.645420Z"
}
},
"outputs": [
@@ -1660,8 +1715,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Test loss : 0.0799570381641388\n",
- "Test accuracy : 0.975600004196167\n"
+ "Test loss : 0.08066742867231369\n",
+ "Test accuracy : 0.9754999876022339\n"
]
}
],
@@ -1684,10 +1739,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:54.415628Z",
- "iopub.status.busy": "2021-01-14T07:11:54.415112Z",
- "iopub.status.idle": "2021-01-14T07:11:54.897515Z",
- "shell.execute_reply": "2021-01-14T07:11:54.897170Z"
+ "iopub.execute_input": "2021-01-26T10:06:14.655483Z",
+ "iopub.status.busy": "2021-01-26T10:06:14.653393Z",
+ "iopub.status.idle": "2021-01-26T10:06:15.145406Z",
+ "shell.execute_reply": "2021-01-26T10:06:15.145074Z"
}
},
"outputs": [
@@ -1705,7 +1760,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -1729,7 +1784,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -1756,10 +1811,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:11:54.900826Z",
- "iopub.status.busy": "2021-01-14T07:11:54.900459Z",
- "iopub.status.idle": "2021-01-14T07:12:08.974659Z",
- "shell.execute_reply": "2021-01-14T07:12:08.975002Z"
+ "iopub.execute_input": "2021-01-26T10:06:15.148596Z",
+ "iopub.status.busy": "2021-01-26T10:06:15.148284Z",
+ "iopub.status.idle": "2021-01-26T10:06:29.632300Z",
+ "shell.execute_reply": "2021-01-26T10:06:29.632635Z"
}
},
"outputs": [
@@ -1777,7 +1832,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x1652.4 with 200 Axes>"
]
@@ -1807,10 +1862,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:12:08.981892Z",
- "iopub.status.busy": "2021-01-14T07:12:08.981496Z",
- "iopub.status.idle": "2021-01-14T07:12:11.308076Z",
- "shell.execute_reply": "2021-01-14T07:12:11.307732Z"
+ "iopub.execute_input": "2021-01-26T10:06:29.647840Z",
+ "iopub.status.busy": "2021-01-26T10:06:29.647493Z",
+ "iopub.status.idle": "2021-01-26T10:06:32.005987Z",
+ "shell.execute_reply": "2021-01-26T10:06:32.006303Z"
}
},
"outputs": [
@@ -1828,7 +1883,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 864x507.6 with 15 Axes>"
]
@@ -1848,10 +1903,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:12:11.311054Z",
- "iopub.status.busy": "2021-01-14T07:12:11.310677Z",
- "iopub.status.idle": "2021-01-14T07:12:12.940150Z",
- "shell.execute_reply": "2021-01-14T07:12:12.939857Z"
+ "iopub.execute_input": "2021-01-26T10:06:32.009552Z",
+ "iopub.status.busy": "2021-01-26T10:06:32.009223Z",
+ "iopub.status.idle": "2021-01-26T10:06:33.659886Z",
+ "shell.execute_reply": "2021-01-26T10:06:33.659548Z"
}
},
"outputs": [
@@ -1869,7 +1924,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 720x576 with 2 Axes>"
]
@@ -1889,10 +1944,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-14T07:12:12.943270Z",
- "iopub.status.busy": "2021-01-14T07:12:12.942791Z",
- "iopub.status.idle": "2021-01-14T07:12:12.946491Z",
- "shell.execute_reply": "2021-01-14T07:12:12.946761Z"
+ "iopub.execute_input": "2021-01-26T10:06:33.664859Z",
+ "iopub.status.busy": "2021-01-26T10:06:33.662564Z",
+ "iopub.status.idle": "2021-01-26T10:06:33.668455Z",
+ "shell.execute_reply": "2021-01-26T10:06:33.668723Z"
}
},
"outputs": [
@@ -1900,8 +1955,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "End time is : Thursday 14 January 2021, 08:12:12\n",
- "Duration is : 00:00:31 548ms\n",
+ "End time is : Tuesday 26 January 2021, 11:06:33\n",
+ "Duration is : 00:00:32 455ms\n",
"This notebook ends here\n"
]
}
@@ -1949,7 +2004,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/README.ipynb b/README.ipynb
index f9234e4695a694ac60ad0843634186791e0dcaf7..211d436be8416603222482acb72741afba79ee6e 100644
--- a/README.ipynb
+++ b/README.ipynb
@@ -3,12 +3,13 @@
{
"cell_type": "code",
"execution_count": 1,
+ "id": "instrumental-evanescence",
"metadata": {
"execution": {
- "iopub.execute_input": "2021-01-24T21:29:58.179407Z",
- "iopub.status.busy": "2021-01-24T21:29:58.178968Z",
- "iopub.status.idle": "2021-01-24T21:29:58.187496Z",
- "shell.execute_reply": "2021-01-24T21:29:58.186940Z"
+ "iopub.execute_input": "2021-01-26T10:02:37.697023Z",
+ "iopub.status.busy": "2021-01-26T10:02:37.696492Z",
+ "iopub.status.idle": "2021-01-26T10:02:37.704777Z",
+ "shell.execute_reply": "2021-01-26T10:02:37.704352Z"
},
"jupyter": {
"source_hidden": true
@@ -61,7 +62,7 @@
"\n",
"\n",
"Current Version : <!-- VERSION_BEGIN -->\n",
- "2.0.4\n",
+ "2.0.5\n",
"<!-- VERSION_END -->\n",
"\n",
"\n",
@@ -220,9 +221,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
- "nbformat_minor": 4
+ "nbformat_minor": 5
}
diff --git a/README.md b/README.md
index def68922498e71952bfcb3bf7279ef5f106169db..4aa85af7e21890df389fa33101ea23ca161d5500 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,7 @@ Don't forget to look at the [Wiki](https://gricad-gitlab.univ-grenoble-alpes.fr/
Current Version : <!-- VERSION_BEGIN -->
-2.0.4
+2.0.5
<!-- VERSION_END -->
diff --git a/environment.yml b/environment.yml
index ffbc456888db1ddaa3c8f0152fe3a91e4f0b8c71..168168f5664f591584cfe1da162170dbd8e9688d 100644
--- a/environment.yml
+++ b/environment.yml
@@ -1,44 +1,42 @@
name: fidle
channels:
- - conda-forge
- - anaconda
+ - pytorch
- defaults
dependencies:
- _libgcc_mutex=0.1
- _tflow_select=2.1.0
- absl-py=0.11.0
- - aiohttp=3.7.3
+ - aiohttp=3.6.3
- argon2-cffi=20.1.0
- astunparse=1.6.3
- async-timeout=3.0.1
- async_generator=1.10
- attrs=20.3.0
- backcall=0.2.0
- - backports=1.0
- - backports.functools_lru_cache=1.6.1
- blas=1.0
- - bleach=3.2.1
+ - bleach=3.2.2
- blinker=1.4
- blosc=1.20.1
- brotli=1.0.9
- brotlipy=0.7.0
+ - brunsli=0.1
- bzip2=1.0.8
- c-ares=1.17.1
- - ca-certificates=2020.12.8
- - cachetools=4.2.0
+ - ca-certificates=2021.1.19
+ - cachetools=4.2.1
- certifi=2020.12.5
- cffi=1.14.4
- chardet=3.0.4
- charls=2.1.0
- click=7.1.2
- cloudpickle=1.6.0
- - cryptography=2.9.2
+ - cryptography=3.3.1
- cudatoolkit=10.1.243
- cudnn=7.6.5
- cupti=10.1.168
- cycler=0.10.0
- cytoolz=0.11.0
- - dask-core=2020.12.0
+ - dask-core=2021.1.1
- dbus=1.13.18
- decorator=4.4.2
- defusedxml=0.6.0
@@ -59,10 +57,11 @@ dependencies:
- hdf5=1.10.6
- icu=58.2
- idna=2.10
- - imagecodecs=2020.5.30
+ - imagecodecs=2021.1.11
- imageio=2.9.0
- importlib-metadata=2.0.0
- importlib_metadata=2.0.0
+ - intel-openmp=2020.2
- ipykernel=5.3.4
- ipython=7.19.0
- ipython_genutils=0.2.0
@@ -82,93 +81,92 @@ dependencies:
- kiwisolver=1.3.0
- lcms2=2.11
- ld_impl_linux-64=2.33.1
+ - lerc=2.2.1
- libaec=1.0.4
- - libblas=3.9.0
- - libcblas=3.9.0
+ - libdeflate=1.7
- libedit=3.1.20191231
- libffi=3.3
- libgcc-ng=9.1.0
- - libgfortran-ng=7.5.0
- - libgfortran4=7.5.0
- - liblapack=3.9.0
- - libopenblas=0.3.12
+ - libgfortran-ng=7.3.0
- libpng=1.6.37
- libprotobuf=3.13.0.1
- libsodium=1.0.18
- libstdcxx-ng=9.1.0
- libtiff=4.1.0
- libuuid=1.0.3
+ - libuv=1.40.0
- libwebp=1.0.1
- libxcb=1.14
- libxml2=2.9.10
- libzopfli=1.0.3
- - lz4-c=1.9.2
+ - lz4-c=1.9.3
- markdown=3.3.3
- markupsafe=1.1.1
- matplotlib=3.3.2
- matplotlib-base=3.3.2
- mistune=0.8.4
+ - mkl=2020.2
+ - mkl-service=2.3.0
+ - mkl_fft=1.2.0
+ - mkl_random=1.1.1
- multidict=4.7.6
- nbclient=0.5.1
- nbconvert=6.0.7
- - nbformat=5.0.8
+ - nbformat=5.1.2
- ncurses=6.2
- nest-asyncio=1.4.3
- networkx=2.5
- - notebook=6.1.6
+ - ninja=1.10.2
+ - notebook=6.2.0
- numpy=1.19.2
- numpy-base=1.19.2
- oauthlib=3.1.0
- olefile=0.46
- - openblas=0.3.12
- openjpeg=2.3.0
- openssl=1.1.1i
- opt_einsum=3.1.0
- packaging=20.8
- - pandas=1.2.0
+ - pandas=1.2.1
- pandoc=2.11
- pandocfilters=1.4.3
- - parso=0.7.0
+ - parso=0.8.1
- pcre=8.44
- pexpect=4.8.0
- pickleshare=0.7.5
- pillow=8.1.0
- pip=20.3.3
- prometheus_client=0.9.0
- - prompt-toolkit=3.0.5
- - prompt_toolkit=1.0.15
+ - prompt-toolkit=3.0.8
- protobuf=3.13.0.1
- - pthread-stubs=0.3
- ptyprocess=0.7.0
- pyasn1=0.4.8
- pyasn1-modules=0.2.8
- pycparser=2.20
- - pygments=2.7.3
- - pyjwt=2.0.0
+ - pygments=2.7.4
+ - pyjwt=1.7.1
- pyopenssl=20.0.1
- pyparsing=2.4.7
- pyqt=5.9.2
- pyrsistent=0.17.3
- pysocks=1.7.1
- - python=3.7.9
+ - python=3.8.5
- python-dateutil=2.8.1
- - python_abi=3.7
+ - pytorch=1.7.1
- pytz=2020.5
- pywavelets=1.1.1
- - pyyaml=5.3.1
+ - pyyaml=5.4.1
- pyzmq=20.0.0
- qt=5.9.7
- readline=8.0
- requests=2.25.1
- requests-oauthlib=1.3.0
- - rsa=4.6
+ - rsa=4.7
- scikit-image=0.17.2
- scikit-learn=0.23.2
- scipy=1.5.2
- send2trash=1.5.0
- - setuptools=51.0.0
- - simplegeneric=0.8.1
- - sip=4.19.8
+ - setuptools=52.0.0
+ - sip=4.19.13
- six=1.15.0
- snappy=1.1.8
- sqlite=3.33.0
@@ -182,12 +180,12 @@ dependencies:
- terminado=0.9.2
- testpath=0.4.4
- threadpoolctl=2.1.0
- - tifffile=2020.12.8
+ - tifffile=2021.1.14
- tk=8.6.10
- toolz=0.11.1
+ - torchvision=0.8.2
- tornado=6.1
- traitlets=5.0.5
- - typing-extensions=3.7.4.3
- typing_extensions=3.7.4.3
- urllib3=1.26.2
- wcwidth=0.2.5
@@ -195,13 +193,11 @@ dependencies:
- werkzeug=1.0.1
- wheel=0.36.2
- wrapt=1.12.1
- - xorg-libxau=1.0.9
- - xorg-libxdmcp=1.1.3
- xz=5.2.5
- yaml=0.2.5
- - yarl=1.5.1
+ - yarl=1.6.3
- zeromq=4.3.3
+ - zfp=0.5.5
- zipp=3.4.0
- zlib=1.2.11
- zstd=1.4.5
-prefix: /home/pjluc/anaconda3/envs/fidle
diff --git a/fidle/01-update-index.ipynb b/fidle/01-update-index.ipynb
index e4be36810236e28f5f803bff1ae1436203b766d6..2e360a370f84f95d811364510d55907a6e921e7e 100644
--- a/fidle/01-update-index.ipynb
+++ b/fidle/01-update-index.ipynb
@@ -467,7 +467,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/fidle/02-running-ci-tests.ipynb b/fidle/02-running-ci-tests.ipynb
index 1edc05ec603abee7aa1509e34169b2689ec1d957..c6b8793b0ed9ce6463480f1da2422727db801254 100644
--- a/fidle/02-running-ci-tests.ipynb
+++ b/fidle/02-running-ci-tests.ipynb
@@ -24,7 +24,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -42,7 +42,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -59,7 +59,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -70,19 +70,19 @@
"Run profile session - FIDLE 2021\n",
"Version : 1.0\n",
"\n",
- "Load profile :./ci/full_jdev.yml\n",
+ "Load profile :./ci/full_fad_s01.yml\n",
" Entries : 8\n",
"\n",
"Create new ci report : /home/pjluc/dev/fidle/fidle/logs/ci_report.json\n",
"\n",
"Notebook : LINR1\n",
" Run notebook.....done.\n",
- " Duration : 0:00:04\n",
+ " Duration : 0:00:03\n",
" Saved as : 01-Linear-Regression==done==.ipynb\n",
"\n",
"Notebook : GRAD1\n",
" Run notebook.....done.\n",
- " Duration : 0:00:05\n",
+ " Duration : 0:00:06\n",
" Saved as : 02-Gradient-descent==done==.ipynb\n",
"\n",
"Notebook : POLR1\n",
@@ -102,28 +102,28 @@
"\n",
"Notebook : BHPD1\n",
" Run notebook.....done.\n",
- " Duration : 0:00:11\n",
+ " Duration : 0:00:09\n",
" Saved as : 01-DNN-Regression==done==.ipynb\n",
"\n",
"Notebook : BHPD2\n",
" Run notebook.....done.\n",
- " Duration : 0:00:11\n",
+ " Duration : 0:00:13\n",
" Saved as : 02-DNN-Regression-Premium==done==.ipynb\n",
"\n",
"Notebook : MNIST1\n",
" Run notebook.....done.\n",
- " Duration : 0:00:33\n",
+ " Duration : 0:00:36\n",
" Saved as : 01-DNN-MNIST==done==.ipynb\n",
"\n",
"End of running process\n",
- " Duration : 0:01:16\n",
+ " Duration : 0:01:18\n",
"\n",
"Complete ci report : /home/pjluc/dev/fidle/fidle/logs/ci_report.json\n"
]
}
],
"source": [
- "profile_name = './ci/full_jdev.yml'\n",
+ "profile_name = './ci/full_fad_s01.yml'\n",
"# profile_name = './ci/full_gpu.yml'\n",
"\n",
"cookci.run_profile(profile_name, report_name='./logs/ci_report.json')"
@@ -131,21 +131,21 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " 318196 100 -rw-r--r-- 1 pjluc pjluc 100935 Jan 14 08:11 ../LinearReg/03-Polynomial-Regression==done==.ipynb\n",
- " 318138 240 -rw-r--r-- 1 pjluc pjluc 245591 Jan 14 08:11 ../LinearReg/02-Gradient-descent==done==.ipynb\n",
- " 313937 44 -rw-r--r-- 1 pjluc pjluc 43926 Jan 14 08:11 ../LinearReg/01-Linear-Regression==done==.ipynb\n",
- " 318210 260 -rw-r--r-- 1 pjluc pjluc 264920 Jan 14 08:11 ../LinearReg/04-Logistic-Regression==done==.ipynb\n",
- " 843697 72 -rw-r--r-- 1 pjluc pjluc 72520 Jan 14 08:11 ../IRIS/01-Simple-Perceptron==done==.ipynb\n",
- " 843701 856 -rw-r--r-- 1 pjluc pjluc 874407 Jan 14 08:12 ../MNIST/01-DNN-MNIST==done==.ipynb\n",
- " 843699 208 -rw-r--r-- 1 pjluc pjluc 209016 Jan 14 08:11 ../BHPD/02-DNN-Regression-Premium==done==.ipynb\n",
- " 843698 216 -rw-r--r-- 1 pjluc pjluc 219264 Jan 14 08:11 ../BHPD/01-DNN-Regression==done==.ipynb\n"
+ " 843697 96 -rw-r--r-- 1 pjluc pjluc 95989 Jan 26 11:05 ../LinearReg/03-Polynomial-Regression==done==.ipynb\n",
+ " 843694 236 -rw-r--r-- 1 pjluc pjluc 238528 Jan 26 11:05 ../LinearReg/02-Gradient-descent==done==.ipynb\n",
+ " 338283 44 -rw-r--r-- 1 pjluc pjluc 44004 Jan 26 11:05 ../LinearReg/01-Linear-Regression==done==.ipynb\n",
+ " 843698 264 -rw-r--r-- 1 pjluc pjluc 267882 Jan 26 11:05 ../LinearReg/04-Logistic-Regression==done==.ipynb\n",
+ " 338282 72 -rw-r--r-- 1 pjluc pjluc 72510 Jan 26 11:05 ../IRIS/01-Simple-Perceptron==done==.ipynb\n",
+ " 843699 864 -rw-r--r-- 1 pjluc pjluc 881136 Jan 26 11:06 ../MNIST/01-DNN-MNIST==done==.ipynb\n",
+ " 338267 208 -rw-r--r-- 1 pjluc pjluc 209579 Jan 26 11:05 ../BHPD/02-DNN-Regression-Premium==done==.ipynb\n",
+ " 326327 168 -rw-r--r-- 1 pjluc pjluc 168985 Jan 26 11:05 ../BHPD/01-DNN-Regression==done==.ipynb\n"
]
}
],
@@ -180,7 +180,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/fidle/03-ci-report.ipynb b/fidle/03-ci-report.ipynb
index 77445d1ba2a97cdda0dcc8be2d0bb04284f06fd4..9828b72c22946aacec212ce61998b7c0f1eec428 100644
--- a/fidle/03-ci-report.ipynb
+++ b/fidle/03-ci-report.ipynb
@@ -38,10 +38,10 @@
"**Save_Figs** : True \n",
"**Description** : Runned notebooks (done) \n",
"**Host** : Oban \n",
- "**Profile** : ./ci/full_jdev.yml \n",
- "**Start** : 14/01/21 08:10:56 \n",
- "**End** : 14/01/21 08:12:13 \n",
- "**Duration** : 0:01:16 \n"
+ "**Profile** : ./ci/full_fad_s01.yml \n",
+ "**Start** : 26/01/21 11:05:16 \n",
+ "**End** : 26/01/21 11:06:35 \n",
+ "**Duration** : 0:01:18 \n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
@@ -66,97 +66,97 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- " #T_fad5b_ td {\n",
+ " #T_59a81_ td {\n",
" font-size: 110%;\n",
" text-align: left;\n",
- " } #T_fad5b_ th {\n",
+ " } #T_59a81_ th {\n",
" font-size: 110%;\n",
" text-align: left;\n",
- " }</style><table id=\"T_fad5b_\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Id</th> <th class=\"col_heading level0 col1\" >Dir</th> <th class=\"col_heading level0 col2\" >Src</th> <th class=\"col_heading level0 col3\" >Out</th> <th class=\"col_heading level0 col4\" >Start</th> <th class=\"col_heading level0 col5\" >End</th> <th class=\"col_heading level0 col6\" >Duration</th> <th class=\"col_heading level0 col7\" >State</th> </tr></thead><tbody>\n",
+ " }</style><table id=\"T_59a81_\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Id</th> <th class=\"col_heading level0 col1\" >Dir</th> <th class=\"col_heading level0 col2\" >Src</th> <th class=\"col_heading level0 col3\" >Out</th> <th class=\"col_heading level0 col4\" >Start</th> <th class=\"col_heading level0 col5\" >End</th> <th class=\"col_heading level0 col6\" >Duration</th> <th class=\"col_heading level0 col7\" >State</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row0_col0\" class=\"data row0 col0\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>LINR1</a></td>\n",
- " <td id=\"T_fad5b_row0_col1\" class=\"data row0 col1\" >LinearReg</td>\n",
- " <td id=\"T_fad5b_row0_col2\" class=\"data row0 col2\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>01-Linear-Regression.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row0_col3\" class=\"data row0 col3\" ><a href='../LinearReg/01-Linear-Regression==done==.ipynb'>01-Linear-Regression==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row0_col4\" class=\"data row0 col4\" >14/01/21 08:10:56</td>\n",
- " <td id=\"T_fad5b_row0_col5\" class=\"data row0 col5\" >14/01/21 08:11:01</td>\n",
- " <td id=\"T_fad5b_row0_col6\" class=\"data row0 col6\" >0:00:04</td>\n",
- " <td id=\"T_fad5b_row0_col7\" class=\"data row0 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row0_col0\" class=\"data row0 col0\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>LINR1</a></td>\n",
+ " <td id=\"T_59a81_row0_col1\" class=\"data row0 col1\" >LinearReg</td>\n",
+ " <td id=\"T_59a81_row0_col2\" class=\"data row0 col2\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>01-Linear-Regression.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row0_col3\" class=\"data row0 col3\" ><a href='../LinearReg/01-Linear-Regression==done==.ipynb'>01-Linear-Regression==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row0_col4\" class=\"data row0 col4\" >26/01/21 11:05:16</td>\n",
+ " <td id=\"T_59a81_row0_col5\" class=\"data row0 col5\" >26/01/21 11:05:20</td>\n",
+ " <td id=\"T_59a81_row0_col6\" class=\"data row0 col6\" >0:00:03</td>\n",
+ " <td id=\"T_59a81_row0_col7\" class=\"data row0 col7\" >ok</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row1_col0\" class=\"data row1 col0\" ><a href='../LinearReg/02-Gradient-descent.ipynb'>GRAD1</a></td>\n",
- " <td id=\"T_fad5b_row1_col1\" class=\"data row1 col1\" >LinearReg</td>\n",
- " <td id=\"T_fad5b_row1_col2\" class=\"data row1 col2\" ><a href='../LinearReg/02-Gradient-descent.ipynb'>02-Gradient-descent.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row1_col3\" class=\"data row1 col3\" ><a href='../LinearReg/02-Gradient-descent==done==.ipynb'>02-Gradient-descent==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row1_col4\" class=\"data row1 col4\" >14/01/21 08:11:01</td>\n",
- " <td id=\"T_fad5b_row1_col5\" class=\"data row1 col5\" >14/01/21 08:11:07</td>\n",
- " <td id=\"T_fad5b_row1_col6\" class=\"data row1 col6\" >0:00:05</td>\n",
- " <td id=\"T_fad5b_row1_col7\" class=\"data row1 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row1_col0\" class=\"data row1 col0\" ><a href='../LinearReg/02-Gradient-descent.ipynb'>GRAD1</a></td>\n",
+ " <td id=\"T_59a81_row1_col1\" class=\"data row1 col1\" >LinearReg</td>\n",
+ " <td id=\"T_59a81_row1_col2\" class=\"data row1 col2\" ><a href='../LinearReg/02-Gradient-descent.ipynb'>02-Gradient-descent.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row1_col3\" class=\"data row1 col3\" ><a href='../LinearReg/02-Gradient-descent==done==.ipynb'>02-Gradient-descent==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row1_col4\" class=\"data row1 col4\" >26/01/21 11:05:20</td>\n",
+ " <td id=\"T_59a81_row1_col5\" class=\"data row1 col5\" >26/01/21 11:05:26</td>\n",
+ " <td id=\"T_59a81_row1_col6\" class=\"data row1 col6\" >0:00:06</td>\n",
+ " <td id=\"T_59a81_row1_col7\" class=\"data row1 col7\" >ok</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row2_col0\" class=\"data row2 col0\" ><a href='../LinearReg/03-Polynomial-Regression.ipynb'>POLR1</a></td>\n",
- " <td id=\"T_fad5b_row2_col1\" class=\"data row2 col1\" >LinearReg</td>\n",
- " <td id=\"T_fad5b_row2_col2\" class=\"data row2 col2\" ><a href='../LinearReg/03-Polynomial-Regression.ipynb'>03-Polynomial-Regression.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row2_col3\" class=\"data row2 col3\" ><a href='../LinearReg/03-Polynomial-Regression==done==.ipynb'>03-Polynomial-Regression==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row2_col4\" class=\"data row2 col4\" >14/01/21 08:11:07</td>\n",
- " <td id=\"T_fad5b_row2_col5\" class=\"data row2 col5\" >14/01/21 08:11:10</td>\n",
- " <td id=\"T_fad5b_row2_col6\" class=\"data row2 col6\" >0:00:03</td>\n",
- " <td id=\"T_fad5b_row2_col7\" class=\"data row2 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row2_col0\" class=\"data row2 col0\" ><a href='../LinearReg/03-Polynomial-Regression.ipynb'>POLR1</a></td>\n",
+ " <td id=\"T_59a81_row2_col1\" class=\"data row2 col1\" >LinearReg</td>\n",
+ " <td id=\"T_59a81_row2_col2\" class=\"data row2 col2\" ><a href='../LinearReg/03-Polynomial-Regression.ipynb'>03-Polynomial-Regression.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row2_col3\" class=\"data row2 col3\" ><a href='../LinearReg/03-Polynomial-Regression==done==.ipynb'>03-Polynomial-Regression==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row2_col4\" class=\"data row2 col4\" >26/01/21 11:05:26</td>\n",
+ " <td id=\"T_59a81_row2_col5\" class=\"data row2 col5\" >26/01/21 11:05:30</td>\n",
+ " <td id=\"T_59a81_row2_col6\" class=\"data row2 col6\" >0:00:03</td>\n",
+ " <td id=\"T_59a81_row2_col7\" class=\"data row2 col7\" >ok</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row3_col0\" class=\"data row3 col0\" ><a href='../LinearReg/04-Logistic-Regression.ipynb'>LOGR1</a></td>\n",
- " <td id=\"T_fad5b_row3_col1\" class=\"data row3 col1\" >LinearReg</td>\n",
- " <td id=\"T_fad5b_row3_col2\" class=\"data row3 col2\" ><a href='../LinearReg/04-Logistic-Regression.ipynb'>04-Logistic-Regression.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row3_col3\" class=\"data row3 col3\" ><a href='../LinearReg/04-Logistic-Regression==done==.ipynb'>04-Logistic-Regression==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row3_col4\" class=\"data row3 col4\" >14/01/21 08:11:10</td>\n",
- " <td id=\"T_fad5b_row3_col5\" class=\"data row3 col5\" >14/01/21 08:11:14</td>\n",
- " <td id=\"T_fad5b_row3_col6\" class=\"data row3 col6\" >0:00:03</td>\n",
- " <td id=\"T_fad5b_row3_col7\" class=\"data row3 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row3_col0\" class=\"data row3 col0\" ><a href='../LinearReg/04-Logistic-Regression.ipynb'>LOGR1</a></td>\n",
+ " <td id=\"T_59a81_row3_col1\" class=\"data row3 col1\" >LinearReg</td>\n",
+ " <td id=\"T_59a81_row3_col2\" class=\"data row3 col2\" ><a href='../LinearReg/04-Logistic-Regression.ipynb'>04-Logistic-Regression.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row3_col3\" class=\"data row3 col3\" ><a href='../LinearReg/04-Logistic-Regression==done==.ipynb'>04-Logistic-Regression==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row3_col4\" class=\"data row3 col4\" >26/01/21 11:05:30</td>\n",
+ " <td id=\"T_59a81_row3_col5\" class=\"data row3 col5\" >26/01/21 11:05:34</td>\n",
+ " <td id=\"T_59a81_row3_col6\" class=\"data row3 col6\" >0:00:03</td>\n",
+ " <td id=\"T_59a81_row3_col7\" class=\"data row3 col7\" >ok</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row4_col0\" class=\"data row4 col0\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>PER57</a></td>\n",
- " <td id=\"T_fad5b_row4_col1\" class=\"data row4 col1\" >IRIS</td>\n",
- " <td id=\"T_fad5b_row4_col2\" class=\"data row4 col2\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>01-Simple-Perceptron.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row4_col3\" class=\"data row4 col3\" ><a href='../IRIS/01-Simple-Perceptron==done==.ipynb'>01-Simple-Perceptron==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row4_col4\" class=\"data row4 col4\" >14/01/21 08:11:14</td>\n",
- " <td id=\"T_fad5b_row4_col5\" class=\"data row4 col5\" >14/01/21 08:11:17</td>\n",
- " <td id=\"T_fad5b_row4_col6\" class=\"data row4 col6\" >0:00:02</td>\n",
- " <td id=\"T_fad5b_row4_col7\" class=\"data row4 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row4_col0\" class=\"data row4 col0\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>PER57</a></td>\n",
+ " <td id=\"T_59a81_row4_col1\" class=\"data row4 col1\" >IRIS</td>\n",
+ " <td id=\"T_59a81_row4_col2\" class=\"data row4 col2\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>01-Simple-Perceptron.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row4_col3\" class=\"data row4 col3\" ><a href='../IRIS/01-Simple-Perceptron==done==.ipynb'>01-Simple-Perceptron==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row4_col4\" class=\"data row4 col4\" >26/01/21 11:05:34</td>\n",
+ " <td id=\"T_59a81_row4_col5\" class=\"data row4 col5\" >26/01/21 11:05:37</td>\n",
+ " <td id=\"T_59a81_row4_col6\" class=\"data row4 col6\" >0:00:02</td>\n",
+ " <td id=\"T_59a81_row4_col7\" class=\"data row4 col7\" >ok</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row5_col0\" class=\"data row5 col0\" ><a href='../BHPD/01-DNN-Regression.ipynb'>BHPD1</a></td>\n",
- " <td id=\"T_fad5b_row5_col1\" class=\"data row5 col1\" >BHPD</td>\n",
- " <td id=\"T_fad5b_row5_col2\" class=\"data row5 col2\" ><a href='../BHPD/01-DNN-Regression.ipynb'>01-DNN-Regression.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row5_col3\" class=\"data row5 col3\" ><a href='../BHPD/01-DNN-Regression==done==.ipynb'>01-DNN-Regression==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row5_col4\" class=\"data row5 col4\" >14/01/21 08:11:17</td>\n",
- " <td id=\"T_fad5b_row5_col5\" class=\"data row5 col5\" >14/01/21 08:11:28</td>\n",
- " <td id=\"T_fad5b_row5_col6\" class=\"data row5 col6\" >0:00:11</td>\n",
- " <td id=\"T_fad5b_row5_col7\" class=\"data row5 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row5_col0\" class=\"data row5 col0\" ><a href='../BHPD/01-DNN-Regression.ipynb'>BHPD1</a></td>\n",
+ " <td id=\"T_59a81_row5_col1\" class=\"data row5 col1\" >BHPD</td>\n",
+ " <td id=\"T_59a81_row5_col2\" class=\"data row5 col2\" ><a href='../BHPD/01-DNN-Regression.ipynb'>01-DNN-Regression.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row5_col3\" class=\"data row5 col3\" ><a href='../BHPD/01-DNN-Regression==done==.ipynb'>01-DNN-Regression==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row5_col4\" class=\"data row5 col4\" >26/01/21 11:05:37</td>\n",
+ " <td id=\"T_59a81_row5_col5\" class=\"data row5 col5\" >26/01/21 11:05:46</td>\n",
+ " <td id=\"T_59a81_row5_col6\" class=\"data row5 col6\" >0:00:09</td>\n",
+ " <td id=\"T_59a81_row5_col7\" class=\"data row5 col7\" >ok</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row6_col0\" class=\"data row6 col0\" ><a href='../BHPD/02-DNN-Regression-Premium.ipynb'>BHPD2</a></td>\n",
- " <td id=\"T_fad5b_row6_col1\" class=\"data row6 col1\" >BHPD</td>\n",
- " <td id=\"T_fad5b_row6_col2\" class=\"data row6 col2\" ><a href='../BHPD/02-DNN-Regression-Premium.ipynb'>02-DNN-Regression-Premium.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row6_col3\" class=\"data row6 col3\" ><a href='../BHPD/02-DNN-Regression-Premium==done==.ipynb'>02-DNN-Regression-Premium==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row6_col4\" class=\"data row6 col4\" >14/01/21 08:11:28</td>\n",
- " <td id=\"T_fad5b_row6_col5\" class=\"data row6 col5\" >14/01/21 08:11:40</td>\n",
- " <td id=\"T_fad5b_row6_col6\" class=\"data row6 col6\" >0:00:11</td>\n",
- " <td id=\"T_fad5b_row6_col7\" class=\"data row6 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row6_col0\" class=\"data row6 col0\" ><a href='../BHPD/02-DNN-Regression-Premium.ipynb'>BHPD2</a></td>\n",
+ " <td id=\"T_59a81_row6_col1\" class=\"data row6 col1\" >BHPD</td>\n",
+ " <td id=\"T_59a81_row6_col2\" class=\"data row6 col2\" ><a href='../BHPD/02-DNN-Regression-Premium.ipynb'>02-DNN-Regression-Premium.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row6_col3\" class=\"data row6 col3\" ><a href='../BHPD/02-DNN-Regression-Premium==done==.ipynb'>02-DNN-Regression-Premium==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row6_col4\" class=\"data row6 col4\" >26/01/21 11:05:46</td>\n",
+ " <td id=\"T_59a81_row6_col5\" class=\"data row6 col5\" >26/01/21 11:05:59</td>\n",
+ " <td id=\"T_59a81_row6_col6\" class=\"data row6 col6\" >0:00:13</td>\n",
+ " <td id=\"T_59a81_row6_col7\" class=\"data row6 col7\" >ok</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_fad5b_row7_col0\" class=\"data row7 col0\" ><a href='../MNIST/01-DNN-MNIST.ipynb'>MNIST1</a></td>\n",
- " <td id=\"T_fad5b_row7_col1\" class=\"data row7 col1\" >MNIST</td>\n",
- " <td id=\"T_fad5b_row7_col2\" class=\"data row7 col2\" ><a href='../MNIST/01-DNN-MNIST.ipynb'>01-DNN-MNIST.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row7_col3\" class=\"data row7 col3\" ><a href='../MNIST/01-DNN-MNIST==done==.ipynb'>01-DNN-MNIST==done==.ipynb</a></td>\n",
- " <td id=\"T_fad5b_row7_col4\" class=\"data row7 col4\" >14/01/21 08:11:40</td>\n",
- " <td id=\"T_fad5b_row7_col5\" class=\"data row7 col5\" >14/01/21 08:12:13</td>\n",
- " <td id=\"T_fad5b_row7_col6\" class=\"data row7 col6\" >0:00:33</td>\n",
- " <td id=\"T_fad5b_row7_col7\" class=\"data row7 col7\" >ok</td>\n",
+ " <td id=\"T_59a81_row7_col0\" class=\"data row7 col0\" ><a href='../MNIST/01-DNN-MNIST.ipynb'>MNIST1</a></td>\n",
+ " <td id=\"T_59a81_row7_col1\" class=\"data row7 col1\" >MNIST</td>\n",
+ " <td id=\"T_59a81_row7_col2\" class=\"data row7 col2\" ><a href='../MNIST/01-DNN-MNIST.ipynb'>01-DNN-MNIST.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row7_col3\" class=\"data row7 col3\" ><a href='../MNIST/01-DNN-MNIST==done==.ipynb'>01-DNN-MNIST==done==.ipynb</a></td>\n",
+ " <td id=\"T_59a81_row7_col4\" class=\"data row7 col4\" >26/01/21 11:05:59</td>\n",
+ " <td id=\"T_59a81_row7_col5\" class=\"data row7 col5\" >26/01/21 11:06:35</td>\n",
+ " <td id=\"T_59a81_row7_col6\" class=\"data row7 col6\" >0:00:36</td>\n",
+ " <td id=\"T_59a81_row7_col7\" class=\"data row7 col7\" >ok</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f1ccdbcc710>"
+ "<pandas.io.formats.style.Styler at 0x7fcdb2bafdf0>"
]
},
"metadata": {},
@@ -205,7 +205,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.9"
+ "version": "3.8.5"
}
},
"nbformat": 4,
diff --git a/fidle/ci/full_jdev.yml b/fidle/ci/full_fad_s01.yml
similarity index 100%
rename from fidle/ci/full_jdev.yml
rename to fidle/ci/full_fad_s01.yml
diff --git a/fidle/config.py b/fidle/config.py
index 682e402b210111ed42ff1e90bdeb716a9bf86a2b..3cc5ce2805698ea3dff7b145b6a45dad7bed6d61 100644
--- a/fidle/config.py
+++ b/fidle/config.py
@@ -14,7 +14,7 @@
# ---- Version -----------------------------------------------------
#
-VERSION = '2.0.4'
+VERSION = '2.0.5'
# ---- Default notebook name ---------------------------------------
#
diff --git a/fidle/logs/ci_report.html b/fidle/logs/ci_report.html
index b94f323033503d19ba16557ee1db659e964e9d61..9b5287e6c47eac3f2eda9bf9ee2dd263b4a453b8 100644
--- a/fidle/logs/ci_report.html
+++ b/fidle/logs/ci_report.html
@@ -34,99 +34,99 @@
<b>Save_Figs</b> : True <br>
<b>Description</b> : Runned notebooks (done) <br>
<b>Host</b> : Oban <br>
-<b>Profile</b> : ./ci/full_jdev.yml <br>
-<b>Start</b> : 14/01/21 08:10:56 <br>
-<b>End</b> : 14/01/21 08:12:13 <br>
-<b>Duration</b> : 0:01:16 <br>
+<b>Profile</b> : ./ci/full_fad_s01.yml <br>
+<b>Start</b> : 26/01/21 11:05:16 <br>
+<b>End</b> : 26/01/21 11:06:35 <br>
+<b>Duration</b> : 0:01:18 <br>
</div>
<div class='title'>Details :</div>
<div class="result"><style type="text/css" >
- #T_abe99_ td {
+ #T_5330e_ td {
font-size: 110%;
text-align: left;
- } #T_abe99_ th {
+ } #T_5330e_ th {
font-size: 110%;
text-align: left;
- }</style><table id="T_abe99_" ><thead> <tr> <th class="col_heading level0 col0" >Id</th> <th class="col_heading level0 col1" >Dir</th> <th class="col_heading level0 col2" >Src</th> <th class="col_heading level0 col3" >Out</th> <th class="col_heading level0 col4" >Start</th> <th class="col_heading level0 col5" >End</th> <th class="col_heading level0 col6" >Duration</th> <th class="col_heading level0 col7" >State</th> </tr></thead><tbody>
+ }</style><table id="T_5330e_" ><thead> <tr> <th class="col_heading level0 col0" >Id</th> <th class="col_heading level0 col1" >Dir</th> <th class="col_heading level0 col2" >Src</th> <th class="col_heading level0 col3" >Out</th> <th class="col_heading level0 col4" >Start</th> <th class="col_heading level0 col5" >End</th> <th class="col_heading level0 col6" >Duration</th> <th class="col_heading level0 col7" >State</th> </tr></thead><tbody>
<tr>
- <td id="T_abe99_row0_col0" class="data row0 col0" >LINR1</td>
- <td id="T_abe99_row0_col1" class="data row0 col1" >LinearReg</td>
- <td id="T_abe99_row0_col2" class="data row0 col2" >01-Linear-Regression.ipynb</td>
- <td id="T_abe99_row0_col3" class="data row0 col3" >01-Linear-Regression==done==.ipynb</td>
- <td id="T_abe99_row0_col4" class="data row0 col4" >14/01/21 08:10:56</td>
- <td id="T_abe99_row0_col5" class="data row0 col5" >14/01/21 08:11:01</td>
- <td id="T_abe99_row0_col6" class="data row0 col6" >0:00:04</td>
- <td id="T_abe99_row0_col7" class="data row0 col7" >ok</td>
+ <td id="T_5330e_row0_col0" class="data row0 col0" >LINR1</td>
+ <td id="T_5330e_row0_col1" class="data row0 col1" >LinearReg</td>
+ <td id="T_5330e_row0_col2" class="data row0 col2" >01-Linear-Regression.ipynb</td>
+ <td id="T_5330e_row0_col3" class="data row0 col3" >01-Linear-Regression==done==.ipynb</td>
+ <td id="T_5330e_row0_col4" class="data row0 col4" >26/01/21 11:05:16</td>
+ <td id="T_5330e_row0_col5" class="data row0 col5" >26/01/21 11:05:20</td>
+ <td id="T_5330e_row0_col6" class="data row0 col6" >0:00:03</td>
+ <td id="T_5330e_row0_col7" class="data row0 col7" >ok</td>
</tr>
<tr>
- <td id="T_abe99_row1_col0" class="data row1 col0" >GRAD1</td>
- <td id="T_abe99_row1_col1" class="data row1 col1" >LinearReg</td>
- <td id="T_abe99_row1_col2" class="data row1 col2" >02-Gradient-descent.ipynb</td>
- <td id="T_abe99_row1_col3" class="data row1 col3" >02-Gradient-descent==done==.ipynb</td>
- <td id="T_abe99_row1_col4" class="data row1 col4" >14/01/21 08:11:01</td>
- <td id="T_abe99_row1_col5" class="data row1 col5" >14/01/21 08:11:07</td>
- <td id="T_abe99_row1_col6" class="data row1 col6" >0:00:05</td>
- <td id="T_abe99_row1_col7" class="data row1 col7" >ok</td>
+ <td id="T_5330e_row1_col0" class="data row1 col0" >GRAD1</td>
+ <td id="T_5330e_row1_col1" class="data row1 col1" >LinearReg</td>
+ <td id="T_5330e_row1_col2" class="data row1 col2" >02-Gradient-descent.ipynb</td>
+ <td id="T_5330e_row1_col3" class="data row1 col3" >02-Gradient-descent==done==.ipynb</td>
+ <td id="T_5330e_row1_col4" class="data row1 col4" >26/01/21 11:05:20</td>
+ <td id="T_5330e_row1_col5" class="data row1 col5" >26/01/21 11:05:26</td>
+ <td id="T_5330e_row1_col6" class="data row1 col6" >0:00:06</td>
+ <td id="T_5330e_row1_col7" class="data row1 col7" >ok</td>
</tr>
<tr>
- <td id="T_abe99_row2_col0" class="data row2 col0" >POLR1</td>
- <td id="T_abe99_row2_col1" class="data row2 col1" >LinearReg</td>
- <td id="T_abe99_row2_col2" class="data row2 col2" >03-Polynomial-Regression.ipynb</td>
- <td id="T_abe99_row2_col3" class="data row2 col3" >03-Polynomial-Regression==done==.ipynb</td>
- <td id="T_abe99_row2_col4" class="data row2 col4" >14/01/21 08:11:07</td>
- <td id="T_abe99_row2_col5" class="data row2 col5" >14/01/21 08:11:10</td>
- <td id="T_abe99_row2_col6" class="data row2 col6" >0:00:03</td>
- <td id="T_abe99_row2_col7" class="data row2 col7" >ok</td>
+ <td id="T_5330e_row2_col0" class="data row2 col0" >POLR1</td>
+ <td id="T_5330e_row2_col1" class="data row2 col1" >LinearReg</td>
+ <td id="T_5330e_row2_col2" class="data row2 col2" >03-Polynomial-Regression.ipynb</td>
+ <td id="T_5330e_row2_col3" class="data row2 col3" >03-Polynomial-Regression==done==.ipynb</td>
+ <td id="T_5330e_row2_col4" class="data row2 col4" >26/01/21 11:05:26</td>
+ <td id="T_5330e_row2_col5" class="data row2 col5" >26/01/21 11:05:30</td>
+ <td id="T_5330e_row2_col6" class="data row2 col6" >0:00:03</td>
+ <td id="T_5330e_row2_col7" class="data row2 col7" >ok</td>
</tr>
<tr>
- <td id="T_abe99_row3_col0" class="data row3 col0" >LOGR1</td>
- <td id="T_abe99_row3_col1" class="data row3 col1" >LinearReg</td>
- <td id="T_abe99_row3_col2" class="data row3 col2" >04-Logistic-Regression.ipynb</td>
- <td id="T_abe99_row3_col3" class="data row3 col3" >04-Logistic-Regression==done==.ipynb</td>
- <td id="T_abe99_row3_col4" class="data row3 col4" >14/01/21 08:11:10</td>
- <td id="T_abe99_row3_col5" class="data row3 col5" >14/01/21 08:11:14</td>
- <td id="T_abe99_row3_col6" class="data row3 col6" >0:00:03</td>
- <td id="T_abe99_row3_col7" class="data row3 col7" >ok</td>
+ <td id="T_5330e_row3_col0" class="data row3 col0" >LOGR1</td>
+ <td id="T_5330e_row3_col1" class="data row3 col1" >LinearReg</td>
+ <td id="T_5330e_row3_col2" class="data row3 col2" >04-Logistic-Regression.ipynb</td>
+ <td id="T_5330e_row3_col3" class="data row3 col3" >04-Logistic-Regression==done==.ipynb</td>
+ <td id="T_5330e_row3_col4" class="data row3 col4" >26/01/21 11:05:30</td>
+ <td id="T_5330e_row3_col5" class="data row3 col5" >26/01/21 11:05:34</td>
+ <td id="T_5330e_row3_col6" class="data row3 col6" >0:00:03</td>
+ <td id="T_5330e_row3_col7" class="data row3 col7" >ok</td>
</tr>
<tr>
- <td id="T_abe99_row4_col0" class="data row4 col0" >PER57</td>
- <td id="T_abe99_row4_col1" class="data row4 col1" >IRIS</td>
- <td id="T_abe99_row4_col2" class="data row4 col2" >01-Simple-Perceptron.ipynb</td>
- <td id="T_abe99_row4_col3" class="data row4 col3" >01-Simple-Perceptron==done==.ipynb</td>
- <td id="T_abe99_row4_col4" class="data row4 col4" >14/01/21 08:11:14</td>
- <td id="T_abe99_row4_col5" class="data row4 col5" >14/01/21 08:11:17</td>
- <td id="T_abe99_row4_col6" class="data row4 col6" >0:00:02</td>
- <td id="T_abe99_row4_col7" class="data row4 col7" >ok</td>
+ <td id="T_5330e_row4_col0" class="data row4 col0" >PER57</td>
+ <td id="T_5330e_row4_col1" class="data row4 col1" >IRIS</td>
+ <td id="T_5330e_row4_col2" class="data row4 col2" >01-Simple-Perceptron.ipynb</td>
+ <td id="T_5330e_row4_col3" class="data row4 col3" >01-Simple-Perceptron==done==.ipynb</td>
+ <td id="T_5330e_row4_col4" class="data row4 col4" >26/01/21 11:05:34</td>
+ <td id="T_5330e_row4_col5" class="data row4 col5" >26/01/21 11:05:37</td>
+ <td id="T_5330e_row4_col6" class="data row4 col6" >0:00:02</td>
+ <td id="T_5330e_row4_col7" class="data row4 col7" >ok</td>
</tr>
<tr>
- <td id="T_abe99_row5_col0" class="data row5 col0" >BHPD1</td>
- <td id="T_abe99_row5_col1" class="data row5 col1" >BHPD</td>
- <td id="T_abe99_row5_col2" class="data row5 col2" >01-DNN-Regression.ipynb</td>
- <td id="T_abe99_row5_col3" class="data row5 col3" >01-DNN-Regression==done==.ipynb</td>
- <td id="T_abe99_row5_col4" class="data row5 col4" >14/01/21 08:11:17</td>
- <td id="T_abe99_row5_col5" class="data row5 col5" >14/01/21 08:11:28</td>
- <td id="T_abe99_row5_col6" class="data row5 col6" >0:00:11</td>
- <td id="T_abe99_row5_col7" class="data row5 col7" >ok</td>
+ <td id="T_5330e_row5_col0" class="data row5 col0" >BHPD1</td>
+ <td id="T_5330e_row5_col1" class="data row5 col1" >BHPD</td>
+ <td id="T_5330e_row5_col2" class="data row5 col2" >01-DNN-Regression.ipynb</td>
+ <td id="T_5330e_row5_col3" class="data row5 col3" >01-DNN-Regression==done==.ipynb</td>
+ <td id="T_5330e_row5_col4" class="data row5 col4" >26/01/21 11:05:37</td>
+ <td id="T_5330e_row5_col5" class="data row5 col5" >26/01/21 11:05:46</td>
+ <td id="T_5330e_row5_col6" class="data row5 col6" >0:00:09</td>
+ <td id="T_5330e_row5_col7" class="data row5 col7" >ok</td>
</tr>
<tr>
- <td id="T_abe99_row6_col0" class="data row6 col0" >BHPD2</td>
- <td id="T_abe99_row6_col1" class="data row6 col1" >BHPD</td>
- <td id="T_abe99_row6_col2" class="data row6 col2" >02-DNN-Regression-Premium.ipynb</td>
- <td id="T_abe99_row6_col3" class="data row6 col3" >02-DNN-Regression-Premium==done==.ipynb</td>
- <td id="T_abe99_row6_col4" class="data row6 col4" >14/01/21 08:11:28</td>
- <td id="T_abe99_row6_col5" class="data row6 col5" >14/01/21 08:11:40</td>
- <td id="T_abe99_row6_col6" class="data row6 col6" >0:00:11</td>
- <td id="T_abe99_row6_col7" class="data row6 col7" >ok</td>
+ <td id="T_5330e_row6_col0" class="data row6 col0" >BHPD2</td>
+ <td id="T_5330e_row6_col1" class="data row6 col1" >BHPD</td>
+ <td id="T_5330e_row6_col2" class="data row6 col2" >02-DNN-Regression-Premium.ipynb</td>
+ <td id="T_5330e_row6_col3" class="data row6 col3" >02-DNN-Regression-Premium==done==.ipynb</td>
+ <td id="T_5330e_row6_col4" class="data row6 col4" >26/01/21 11:05:46</td>
+ <td id="T_5330e_row6_col5" class="data row6 col5" >26/01/21 11:05:59</td>
+ <td id="T_5330e_row6_col6" class="data row6 col6" >0:00:13</td>
+ <td id="T_5330e_row6_col7" class="data row6 col7" >ok</td>
</tr>
<tr>
- <td id="T_abe99_row7_col0" class="data row7 col0" >MNIST1</td>
- <td id="T_abe99_row7_col1" class="data row7 col1" >MNIST</td>
- <td id="T_abe99_row7_col2" class="data row7 col2" >01-DNN-MNIST.ipynb</td>
- <td id="T_abe99_row7_col3" class="data row7 col3" >01-DNN-MNIST==done==.ipynb</td>
- <td id="T_abe99_row7_col4" class="data row7 col4" >14/01/21 08:11:40</td>
- <td id="T_abe99_row7_col5" class="data row7 col5" >14/01/21 08:12:13</td>
- <td id="T_abe99_row7_col6" class="data row7 col6" >0:00:33</td>
- <td id="T_abe99_row7_col7" class="data row7 col7" >ok</td>
+ <td id="T_5330e_row7_col0" class="data row7 col0" >MNIST1</td>
+ <td id="T_5330e_row7_col1" class="data row7 col1" >MNIST</td>
+ <td id="T_5330e_row7_col2" class="data row7 col2" >01-DNN-MNIST.ipynb</td>
+ <td id="T_5330e_row7_col3" class="data row7 col3" >01-DNN-MNIST==done==.ipynb</td>
+ <td id="T_5330e_row7_col4" class="data row7 col4" >26/01/21 11:05:59</td>
+ <td id="T_5330e_row7_col5" class="data row7 col5" >26/01/21 11:06:35</td>
+ <td id="T_5330e_row7_col6" class="data row7 col6" >0:00:36</td>
+ <td id="T_5330e_row7_col7" class="data row7 col7" >ok</td>
</tr>
</tbody></table></div>
diff --git a/fidle/logs/ci_report.json b/fidle/logs/ci_report.json
index be8e6b5c72437b5787fce22740f04be41f28fa29..61a4778c27c7e1d24e4cca09391f13598b31073b 100644
--- a/fidle/logs/ci_report.json
+++ b/fidle/logs/ci_report.json
@@ -5,35 +5,35 @@
"save_figs": true,
"description": "Runned notebooks (done)",
"host": "Oban",
- "profile": "./ci/full_jdev.yml",
- "start": "14/01/21 08:10:56",
- "end": "14/01/21 08:12:13",
- "duration": "0:01:16"
+ "profile": "./ci/full_fad_s01.yml",
+ "start": "26/01/21 11:05:16",
+ "end": "26/01/21 11:06:35",
+ "duration": "0:01:18"
},
"LINR1": {
"dir": "LinearReg",
"src": "01-Linear-Regression.ipynb",
"out": "01-Linear-Regression==done==.ipynb",
- "start": "14/01/21 08:10:56",
- "end": "14/01/21 08:11:01",
- "duration": "0:00:04",
+ "start": "26/01/21 11:05:16",
+ "end": "26/01/21 11:05:20",
+ "duration": "0:00:03",
"state": "ok"
},
"GRAD1": {
"dir": "LinearReg",
"src": "02-Gradient-descent.ipynb",
"out": "02-Gradient-descent==done==.ipynb",
- "start": "14/01/21 08:11:01",
- "end": "14/01/21 08:11:07",
- "duration": "0:00:05",
+ "start": "26/01/21 11:05:20",
+ "end": "26/01/21 11:05:26",
+ "duration": "0:00:06",
"state": "ok"
},
"POLR1": {
"dir": "LinearReg",
"src": "03-Polynomial-Regression.ipynb",
"out": "03-Polynomial-Regression==done==.ipynb",
- "start": "14/01/21 08:11:07",
- "end": "14/01/21 08:11:10",
+ "start": "26/01/21 11:05:26",
+ "end": "26/01/21 11:05:30",
"duration": "0:00:03",
"state": "ok"
},
@@ -41,8 +41,8 @@
"dir": "LinearReg",
"src": "04-Logistic-Regression.ipynb",
"out": "04-Logistic-Regression==done==.ipynb",
- "start": "14/01/21 08:11:10",
- "end": "14/01/21 08:11:14",
+ "start": "26/01/21 11:05:30",
+ "end": "26/01/21 11:05:34",
"duration": "0:00:03",
"state": "ok"
},
@@ -50,8 +50,8 @@
"dir": "IRIS",
"src": "01-Simple-Perceptron.ipynb",
"out": "01-Simple-Perceptron==done==.ipynb",
- "start": "14/01/21 08:11:14",
- "end": "14/01/21 08:11:17",
+ "start": "26/01/21 11:05:34",
+ "end": "26/01/21 11:05:37",
"duration": "0:00:02",
"state": "ok"
},
@@ -59,27 +59,27 @@
"dir": "BHPD",
"src": "01-DNN-Regression.ipynb",
"out": "01-DNN-Regression==done==.ipynb",
- "start": "14/01/21 08:11:17",
- "end": "14/01/21 08:11:28",
- "duration": "0:00:11",
+ "start": "26/01/21 11:05:37",
+ "end": "26/01/21 11:05:46",
+ "duration": "0:00:09",
"state": "ok"
},
"BHPD2": {
"dir": "BHPD",
"src": "02-DNN-Regression-Premium.ipynb",
"out": "02-DNN-Regression-Premium==done==.ipynb",
- "start": "14/01/21 08:11:28",
- "end": "14/01/21 08:11:40",
- "duration": "0:00:11",
+ "start": "26/01/21 11:05:46",
+ "end": "26/01/21 11:05:59",
+ "duration": "0:00:13",
"state": "ok"
},
"MNIST1": {
"dir": "MNIST",
"src": "01-DNN-MNIST.ipynb",
"out": "01-DNN-MNIST==done==.ipynb",
- "start": "14/01/21 08:11:40",
- "end": "14/01/21 08:12:13",
- "duration": "0:00:33",
+ "start": "26/01/21 11:05:59",
+ "end": "26/01/21 11:06:35",
+ "duration": "0:00:36",
"state": "ok"
}
}
\ No newline at end of file