diff --git a/BHPD/01-DNN-Regression.ipynb b/BHPD/01-DNN-Regression.ipynb index 947b95adf66f4868ce861ccd603eafe45858cb09..cc966faf0d3d5729016c2f05da657a7af227477c 100644 --- a/BHPD/01-DNN-Regression.ipynb +++ b/BHPD/01-DNN-Regression.ipynb @@ -35,9 +35,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "IDLE 2020 - Practical Work Module\n", + " Version : 0.2\n", + " Run time : Friday 24 January 2020, 11:42:30\n", + " Matplotlib style : fidle/talk.mplstyle\n", + " TensorFlow version : 2.0.0\n", + " Keras version : 2.2.4-tf\n" + ] + } + ], "source": [ "import tensorflow as tf\n", "from tensorflow import keras\n", @@ -45,6 +58,7 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", + "import os\n", "\n", "from IPython.display import display, Markdown\n", "import fidle.pwk as ooo\n", @@ -64,10 +78,8 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "raw", "metadata": {}, - "outputs": [], "source": [ "(x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data(test_split=0.2, seed=113)" ] @@ -82,9 +94,116 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "<style type=\"text/css\" >\n", + "</style><table id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7a\" ><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", + " <th id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7alevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col0\" class=\"data row0 col0\" >0.01</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col1\" class=\"data row0 col1\" >18.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col2\" class=\"data row0 col2\" >2.31</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col3\" class=\"data row0 col3\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col4\" class=\"data row0 col4\" >0.54</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col5\" class=\"data row0 col5\" >6.58</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col6\" class=\"data row0 col6\" >65.20</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col7\" class=\"data row0 col7\" >4.09</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col8\" class=\"data row0 col8\" >1.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col9\" class=\"data row0 col9\" >296.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col10\" class=\"data row0 col10\" >15.30</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col11\" class=\"data row0 col11\" >396.90</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col12\" class=\"data row0 col12\" >4.98</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow0_col13\" class=\"data row0 col13\" >24.00</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7alevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col0\" class=\"data row1 col0\" >0.03</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col1\" class=\"data row1 col1\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col2\" class=\"data row1 col2\" >7.07</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col3\" class=\"data row1 col3\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col4\" class=\"data row1 col4\" >0.47</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col5\" class=\"data row1 col5\" >6.42</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col6\" class=\"data row1 col6\" >78.90</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col7\" class=\"data row1 col7\" >4.97</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col8\" class=\"data row1 col8\" >2.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col9\" class=\"data row1 col9\" >242.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col10\" class=\"data row1 col10\" >17.80</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col11\" class=\"data row1 col11\" >396.90</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col12\" class=\"data row1 col12\" >9.14</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow1_col13\" class=\"data row1 col13\" >21.60</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7alevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col0\" class=\"data row2 col0\" >0.03</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col1\" class=\"data row2 col1\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col2\" class=\"data row2 col2\" >7.07</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col3\" class=\"data row2 col3\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col4\" class=\"data row2 col4\" >0.47</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col5\" class=\"data row2 col5\" >7.18</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col6\" class=\"data row2 col6\" >61.10</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col7\" class=\"data row2 col7\" >4.97</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col8\" class=\"data row2 col8\" >2.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col9\" class=\"data row2 col9\" >242.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col10\" class=\"data row2 col10\" >17.80</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col11\" class=\"data row2 col11\" >392.83</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col12\" class=\"data row2 col12\" >4.03</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow2_col13\" class=\"data row2 col13\" >34.70</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7alevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col0\" class=\"data row3 col0\" >0.03</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col1\" class=\"data row3 col1\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col2\" class=\"data row3 col2\" >2.18</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col3\" class=\"data row3 col3\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col4\" class=\"data row3 col4\" >0.46</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col5\" class=\"data row3 col5\" >7.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col6\" class=\"data row3 col6\" >45.80</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col7\" class=\"data row3 col7\" >6.06</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col8\" class=\"data row3 col8\" >3.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col9\" class=\"data row3 col9\" >222.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col10\" class=\"data row3 col10\" >18.70</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col11\" class=\"data row3 col11\" >394.63</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col12\" class=\"data row3 col12\" >2.94</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow3_col13\" class=\"data row3 col13\" >33.40</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7alevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col0\" class=\"data row4 col0\" >0.07</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col1\" class=\"data row4 col1\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col2\" class=\"data row4 col2\" >2.18</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col3\" class=\"data row4 col3\" >0.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col4\" class=\"data row4 col4\" >0.46</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col5\" class=\"data row4 col5\" >7.15</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col6\" class=\"data row4 col6\" >54.20</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col7\" class=\"data row4 col7\" >6.06</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col8\" class=\"data row4 col8\" >3.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col9\" class=\"data row4 col9\" >222.00</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col10\" class=\"data row4 col10\" >18.70</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col11\" class=\"data row4 col11\" >396.90</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col12\" class=\"data row4 col12\" >5.33</td>\n", + " <td id=\"T_3a6ab490_3e96_11ea_bb15_dba25722cc7arow4_col13\" class=\"data row4 col13\" >36.20</td>\n", + " </tr>\n", + " </tbody></table>" + ], + "text/plain": [ + "<pandas.io.formats.style.Styler at 0x7fc61db614d0>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Données manquantes : 0 Shape is : (506, 14)\n" + ] + } + ], "source": [ "data = pd.read_csv('./data/BostonHousing.csv', header=0)\n", "\n", @@ -104,9 +223,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original data shape was : (506, 14)\n", + "x_train : (354, 13) y_train : (354,)\n", + "x_test : (152, 13) y_test : (152,)\n" + ] + } + ], "source": [ "# ---- Split => train, test\n", "#\n", @@ -139,9 +268,294 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "<style type=\"text/css\" >\n", + "</style><table id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7a\" ><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_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col0\" class=\"data row0 col0\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col1\" class=\"data row0 col1\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col2\" class=\"data row0 col2\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col3\" class=\"data row0 col3\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col4\" class=\"data row0 col4\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col5\" class=\"data row0 col5\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col6\" class=\"data row0 col6\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col7\" class=\"data row0 col7\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col8\" class=\"data row0 col8\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col9\" class=\"data row0 col9\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col10\" class=\"data row0 col10\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col11\" class=\"data row0 col11\" >354.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow0_col12\" class=\"data row0 col12\" >354.00</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col0\" class=\"data row1 col0\" >3.97</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col1\" class=\"data row1 col1\" >10.27</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col2\" class=\"data row1 col2\" >11.51</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col3\" class=\"data row1 col3\" >0.07</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col4\" class=\"data row1 col4\" >0.56</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col5\" class=\"data row1 col5\" >6.26</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col6\" class=\"data row1 col6\" >70.20</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col7\" class=\"data row1 col7\" >3.70</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col8\" class=\"data row1 col8\" >9.88</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col9\" class=\"data row1 col9\" >414.85</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col10\" class=\"data row1 col10\" >18.51</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col11\" class=\"data row1 col11\" >354.34</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow1_col12\" class=\"data row1 col12\" >13.01</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col0\" class=\"data row2 col0\" >9.57</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col1\" class=\"data row2 col1\" >22.19</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col2\" class=\"data row2 col2\" >6.78</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col3\" class=\"data row2 col3\" >0.25</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col4\" class=\"data row2 col4\" >0.12</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col5\" class=\"data row2 col5\" >0.70</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col6\" class=\"data row2 col6\" >27.68</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col7\" class=\"data row2 col7\" >2.07</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col8\" class=\"data row2 col8\" >8.80</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col9\" class=\"data row2 col9\" >169.62</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col10\" class=\"data row2 col10\" >2.13</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col11\" class=\"data row2 col11\" >94.06</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow2_col12\" class=\"data row2 col12\" >7.27</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col0\" class=\"data row3 col0\" >0.01</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col1\" class=\"data row3 col1\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col2\" class=\"data row3 col2\" >0.74</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col3\" class=\"data row3 col3\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col4\" class=\"data row3 col4\" >0.39</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col5\" class=\"data row3 col5\" >3.56</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col6\" class=\"data row3 col6\" >2.90</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col7\" class=\"data row3 col7\" >1.13</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col8\" class=\"data row3 col8\" >1.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col9\" class=\"data row3 col9\" >187.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col10\" class=\"data row3 col10\" >12.60</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col11\" class=\"data row3 col11\" >2.52</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow3_col12\" class=\"data row3 col12\" >1.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col0\" class=\"data row4 col0\" >0.09</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col1\" class=\"data row4 col1\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col2\" class=\"data row4 col2\" >5.86</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col3\" class=\"data row4 col3\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col4\" class=\"data row4 col4\" >0.45</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col5\" class=\"data row4 col5\" >5.88</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col6\" class=\"data row4 col6\" >47.25</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col7\" class=\"data row4 col7\" >2.05</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col8\" class=\"data row4 col8\" >4.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col9\" class=\"data row4 col9\" >284.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col10\" class=\"data row4 col10\" >17.40</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col11\" class=\"data row4 col11\" >374.49</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow4_col12\" class=\"data row4 col12\" >7.40</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col0\" class=\"data row5 col0\" >0.29</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col1\" class=\"data row5 col1\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col2\" class=\"data row5 col2\" >9.90</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col3\" class=\"data row5 col3\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col4\" class=\"data row5 col4\" >0.54</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col5\" class=\"data row5 col5\" >6.19</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col6\" class=\"data row5 col6\" >80.10</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col7\" class=\"data row5 col7\" >3.09</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col8\" class=\"data row5 col8\" >5.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col9\" class=\"data row5 col9\" >334.50</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col10\" class=\"data row5 col10\" >19.10</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col11\" class=\"data row5 col11\" >390.81</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow5_col12\" class=\"data row5 col12\" >11.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col0\" class=\"data row6 col0\" >3.85</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col1\" class=\"data row6 col1\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col2\" class=\"data row6 col2\" >18.10</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col3\" class=\"data row6 col3\" >0.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col4\" class=\"data row6 col4\" >0.62</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col5\" class=\"data row6 col5\" >6.59</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col6\" class=\"data row6 col6\" >94.57</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col7\" class=\"data row6 col7\" >4.94</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col8\" class=\"data row6 col8\" >24.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col9\" class=\"data row6 col9\" >666.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col10\" class=\"data row6 col10\" >20.20</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col11\" class=\"data row6 col11\" >396.04</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow6_col12\" class=\"data row6 col12\" >17.11</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7alevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col0\" class=\"data row7 col0\" >88.98</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col1\" class=\"data row7 col1\" >95.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col2\" class=\"data row7 col2\" >27.74</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col3\" class=\"data row7 col3\" >1.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col4\" class=\"data row7 col4\" >0.87</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col5\" class=\"data row7 col5\" >8.72</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col6\" class=\"data row7 col6\" >100.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col7\" class=\"data row7 col7\" >12.13</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col8\" class=\"data row7 col8\" >24.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col9\" class=\"data row7 col9\" >711.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col10\" class=\"data row7 col10\" >22.00</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col11\" class=\"data row7 col11\" >396.90</td>\n", + " <td id=\"T_3dd46306_3e96_11ea_bb15_dba25722cc7arow7_col12\" class=\"data row7 col12\" >37.97</td>\n", + " </tr>\n", + " </tbody></table>" + ], + "text/plain": [ + "<pandas.io.formats.style.Styler at 0x7fc62513f7d0>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "<style type=\"text/css\" >\n", + "</style><table id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7a\" ><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_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col0\" class=\"data row0 col0\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col1\" class=\"data row0 col1\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col2\" class=\"data row0 col2\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col3\" class=\"data row0 col3\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col4\" class=\"data row0 col4\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col5\" class=\"data row0 col5\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col6\" class=\"data row0 col6\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col7\" class=\"data row0 col7\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col8\" class=\"data row0 col8\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col9\" class=\"data row0 col9\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col10\" class=\"data row0 col10\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col11\" class=\"data row0 col11\" >354.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow0_col12\" class=\"data row0 col12\" >354.00</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col0\" class=\"data row1 col0\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col1\" class=\"data row1 col1\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col2\" class=\"data row1 col2\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col3\" class=\"data row1 col3\" >-0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col4\" class=\"data row1 col4\" >-0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col5\" class=\"data row1 col5\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col6\" class=\"data row1 col6\" >-0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col7\" class=\"data row1 col7\" >-0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col8\" class=\"data row1 col8\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col9\" class=\"data row1 col9\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col10\" class=\"data row1 col10\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col11\" class=\"data row1 col11\" >0.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow1_col12\" class=\"data row1 col12\" >0.00</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col0\" class=\"data row2 col0\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col1\" class=\"data row2 col1\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col2\" class=\"data row2 col2\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col3\" class=\"data row2 col3\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col4\" class=\"data row2 col4\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col5\" class=\"data row2 col5\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col6\" class=\"data row2 col6\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col7\" class=\"data row2 col7\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col8\" class=\"data row2 col8\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col9\" class=\"data row2 col9\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col10\" class=\"data row2 col10\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col11\" class=\"data row2 col11\" >1.00</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow2_col12\" class=\"data row2 col12\" >1.00</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col0\" class=\"data row3 col0\" >-0.41</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col1\" class=\"data row3 col1\" >-0.46</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col2\" class=\"data row3 col2\" >-1.59</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col3\" class=\"data row3 col3\" >-0.27</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col4\" class=\"data row3 col4\" >-1.43</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col5\" class=\"data row3 col5\" >-3.87</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col6\" class=\"data row3 col6\" >-2.43</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col7\" class=\"data row3 col7\" >-1.24</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col8\" class=\"data row3 col8\" >-1.01</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col9\" class=\"data row3 col9\" >-1.34</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col10\" class=\"data row3 col10\" >-2.78</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col11\" class=\"data row3 col11\" >-3.74</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow3_col12\" class=\"data row3 col12\" >-1.55</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col0\" class=\"data row4 col0\" >-0.41</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col1\" class=\"data row4 col1\" >-0.46</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col2\" class=\"data row4 col2\" >-0.83</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col3\" class=\"data row4 col3\" >-0.27</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col4\" class=\"data row4 col4\" >-0.91</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col5\" class=\"data row4 col5\" >-0.55</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col6\" class=\"data row4 col6\" >-0.83</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col7\" class=\"data row4 col7\" >-0.80</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col8\" class=\"data row4 col8\" >-0.67</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col9\" class=\"data row4 col9\" >-0.77</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col10\" class=\"data row4 col10\" >-0.52</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col11\" class=\"data row4 col11\" >0.21</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow4_col12\" class=\"data row4 col12\" >-0.77</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col0\" class=\"data row5 col0\" >-0.38</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col1\" class=\"data row5 col1\" >-0.46</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col2\" class=\"data row5 col2\" >-0.24</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col3\" class=\"data row5 col3\" >-0.27</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col4\" class=\"data row5 col4\" >-0.18</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col5\" class=\"data row5 col5\" >-0.10</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col6\" class=\"data row5 col6\" >0.36</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col7\" class=\"data row5 col7\" >-0.29</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col8\" class=\"data row5 col8\" >-0.55</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col9\" class=\"data row5 col9\" >-0.47</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col10\" class=\"data row5 col10\" >0.28</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col11\" class=\"data row5 col11\" >0.39</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow5_col12\" class=\"data row5 col12\" >-0.18</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col0\" class=\"data row6 col0\" >-0.01</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col1\" class=\"data row6 col1\" >-0.46</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col2\" class=\"data row6 col2\" >0.97</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col3\" class=\"data row6 col3\" >-0.27</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col4\" class=\"data row6 col4\" >0.55</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col5\" class=\"data row6 col5\" >0.49</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col6\" class=\"data row6 col6\" >0.88</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col7\" class=\"data row6 col7\" >0.60</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col8\" class=\"data row6 col8\" >1.60</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col9\" class=\"data row6 col9\" >1.48</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col10\" class=\"data row6 col10\" >0.79</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col11\" class=\"data row6 col11\" >0.44</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow6_col12\" class=\"data row6 col12\" >0.56</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7alevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col0\" class=\"data row7 col0\" >8.89</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col1\" class=\"data row7 col1\" >3.82</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col2\" class=\"data row7 col2\" >2.39</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col3\" class=\"data row7 col3\" >3.70</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col4\" class=\"data row7 col4\" >2.67</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col5\" class=\"data row7 col5\" >3.55</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col6\" class=\"data row7 col6\" >1.08</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col7\" class=\"data row7 col7\" >4.07</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col8\" class=\"data row7 col8\" >1.60</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col9\" class=\"data row7 col9\" >1.75</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col10\" class=\"data row7 col10\" >1.64</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col11\" class=\"data row7 col11\" >0.45</td>\n", + " <td id=\"T_3dddca22_3e96_11ea_bb15_dba25722cc7arow7_col12\" class=\"data row7 col12\" >3.43</td>\n", + " </tr>\n", + " </tbody></table>" + ], + "text/plain": [ + "<pandas.io.formats.style.Styler at 0x7fc61da1b110>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "display(x_train.describe().style.format(\"{0:.2f}\").set_caption(\"Before normalization :\"))\n", "\n", @@ -170,7 +584,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -196,9 +610,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "dense (Dense) (None, 64) 896 \n", + "_________________________________________________________________\n", + "dense_1 (Dense) (None, 64) 4160 \n", + "_________________________________________________________________\n", + "dense_2 (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", @@ -214,7 +649,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -222,7 +657,7 @@ " y_train,\n", " epochs = 100,\n", " batch_size = 10,\n", - " verbose = 1,\n", + " verbose = 0,\n", " validation_data = (x_test, y_test))" ] }, @@ -238,9 +673,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x_test / loss : 14.9185\n", + "x_test / mae : 2.5638\n", + "x_test / mse : 14.9185\n" + ] + } + ], "source": [ "score = model.evaluate(x_test, y_test, verbose=0)\n", "\n", @@ -259,18 +704,63 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min( val_mae ) : 2.1862\n" + ] + } + ], "source": [ "print(\"min( val_mae ) : {:.4f}\".format( min(history.history[\"val_mae\"]) ) )" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x432 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x432 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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6gtcM+z6QBD42mvWvxJDbY+fytf72IiIiO6VhQgPwOWA/4LPDbH8L0Aw8WmbbY8FyIYCZxYBDgT855/pKyj4OFBgaMGpC3RMiIhJlDREazGwB8A3gm8655cMUmx0sV5XZVlw3J1hOAVrLlXXO9QMbQmVL63KemS2urObVaVL3hIiIRFhDhAbgWmAZcOUIZdqCZX+ZbX0lZUYqWyzfVm6Dc+7HzrnDRqjHDtOdLkVEJMrqfvWEmZ0BHA8scs5lRyjaEyyby2xrKSkzUtli+Z5hto2ZIQMh1T0hIiIRU9fQYGbN+NaFu4DXzGzvYFOx62BSsG49/gqJ8Law4rpid8QmoLdc2eB7TgMe2OkDqJJaGkREJMrq3T3RCkwH3gu8GHrcH2w/I/j6HOAZfHfDkWVe54hguRjAOVcAngIOCUJC2Nvwxz0m4xZGooGQIiISZfXunugGPlJm/XT8JEx3Az8F/uyc22pmvwU+aGYHOeeeBjCzdnyoeBF/ZUTRLcBRwHn4yZ2KLsZPDnXrKB/LdoW7JzJqaRARkYipa2gIxjDcXrrezOYHT192zoW3fwl4F3CvmV0FbMbPCDkHeK9zQ+4CdR1wNnBl8HrPAScBHwAuc84tG81jqYRaGkREJMrq3dJQFefcS2Z2FPAd4J+AJnw3xHvCU0gHZTNmdhxwGXAafhzDy8AFwDU1rXhAM0KKiEiUNWRoCOZqKHtTKefcc8ApFb5OJ36yqOEmjKqNTD98/jQu7M+QcnDKHucrNIiISOQ0ZGgYd+IJ6O0hAViQhdQ9ISIiUVPvqyd2DfE4mD/VcRwxV1BLg4iIRI5CQ60kBht1ki6vlgYREYkchYZaCYWGBGppEBGR6FFoqJVEcuBp0uUVGkREJHIUGmqlNDTk8nWsjIiISPUUGmolHuqe0EBIERGJIIWGWtmmpUGhQUREokWhoVaGDITUmAYREYkehYZa0SWXIiIScQoNtaKrJ0REJOIUGmolFBo0EFJERKJIoaFW4iVjGtQ9ISIiEaPQUCtJdU+IiEi0KTTUSjw8ELJARi0NIiISMQoNtTJkTINaGkREJHoUGmpFV0+IiEjEKTTUSnieBgoaCCkiIpGj0FArQ+49oasnREQkehQaakVXT4iISMQpNNRKfNvJnZxzdayQiIhIdRQaamXImIY8gFobREQkUhQaaqXk6glQaBARkWhRaKiV8K2xnQ8LGgwpIiJRotBQKyWTO4FaGkREJFoUGmol3D1RHNOglgYREYkQhYZaGXLvCbU0iIhI9Cg01IrGNIiISMQpNNSKrp4QEZGIU2iolfBASM3TICIiEaTQUCvhyZ3UPSEiIhGk0FAr6p4QEZGIU2iolcTQu1yCWhpERCRaFBpqJXzDKoLuCbU0iIhIhCg01Ero1thN6p4QEZEIUmiolfi23RMZdU+IiEiEKDTUSrnJndTSICIiEaLQUCvlrp5QS4OIiESIQkOtlLthlVoaREQkQhQaaqXsvSfy9aqNiIhI1RQaakWTO4mISMQpNNRK+OoJCphzCg0iIhIpCg21YrZNcNBASBERiRKFhloq6aJQS4OIiESJQkMtldx/Qi0NIiISJQoNtVQaGtTSICIiEaLQUEsl3ROaRlpERKJEoaGWhkzwVFBLg4iIRIpCQy3FNaZBRESiS6GhlnT1hIiIRFjdQ4OZ7WtmN5nZc2bWZWY9Zva8mV1pZrOGKf8rM9tkZt1m9pCZHTvMa08ys6vNbJWZ9ZnZs2Z2vpnZ2B9ZGaGBkEmneRpERCRaEtsvMubmArOAXwIrgRxwIHAecKqZHeycWwtgZnsBjwRlvgt0AecC95jZic65+4ovamZNwO+AQ4CrgeeAE4E0MAO4tBYHN0SopSGBWhpERCRa6h4anHP/Dfx36XozexC4FTgLHxAALgcmA291zi0Jyt0IPAtcY2b7OedcUPYcYCFwoXPu6mDddWb2C+DLZna9c27FGB1WeeqeEBGRCKt798QIim/oUwDMbAJwMnB/MTAAOOe2Aj8B9sGHhKLTgR7gupLX/T6QBD42NtUeQcmdLtU9ISIiUdIwocHMWsxsNzOba2bHAz8KNt0VLN8CNAOPltn9sWC5MHitGHAo8CfnXF9J2ceBAkMDRm3Ew2Ma8mTzujW2iIhER8OEBnx3wjrgVeAefDfEGc65h4Lts4PlqjL7FtfNCZZTgNZyZZ1z/cCGUNkhzOw8M1u8IwewXcnwPA265FJERKKlkULDr4B3Ax8Avgl0AtND29uCZX+ZfftKyoxUtli+rdwG59yPnXOHVVjn6sRDAyGdJncSEZFoqftAyCLn3Er81RMAvwoGLD5hZq3Oucvx4xPAd1GUagmWPSXLcmWL5XuG2TZ2Su49UXCQLxSIxxopu4mIiJTXsO9Wzrk/A38CUsGq1cGyXLdCcV2xO2IT0FuurJk1A9Mo380xtkqungDURSEiIpHRsKEh0ApMDZ4/g+9uOLJMuSOC5WIA51wBeAo4JAgJYW/DH/fYjFsYSXhyJ3xoyKiLQkREIqLuocHMZg6z/hjgAIIrI4JLK38LHG1mB4XKteMHUb6IvzKi6Bb8uIXzSl76YvzkULeO0iFUrmRMA6ilQUREoqMRxjRcG0wX/T/4uRlagLcCpwJbgM+Hyn4JeBdwr5ldBWzGzwg5B3hvaGIn8PMznA1caWbz8TNCnoQfaHmZc27ZGB5Tecky3RNqaRARkYhohNBwC/AJ4Ez81RIOHx5+BFzhnHulWNA595KZHQV8B/gnoAnfDfGe8BTSQdmMmR0HXAachh/H8DJwAXDNWB9UWSXzNIBaGkREJDrqHhqcc7dSRVeBc+454JQKy3YCnw0e9ZcoExrU0iAiIhFR9zENu5QhN6wKxjQoNIiISEQoNNRSODSoe0JERCJGoaGWys3ToJYGERGJCIWGWhoypkGXXIqISLQoNNRSeBpp1NIgIiLRotBQS5pGWkREIkyhoZYSZWaEVEuDiIhEhEJDLZWb3EmhQUREIkKhoZbC3RPFMQ25fL1qIyIiUpVRmREylUol8DeXMuAv6XQ6OxqvO+6EB0IG3RO6y6WIiERFRS0NqVRqQSqV+vtUKrVPmW0nASuBJ/G3m16dSqU+NLrVHCc0uZOIiERYpd0Tn8TfNTITXplKpRYAtwG7A68CzwNTgZtTqdSbR7Ge44OunhARkQirNDT8L+CZdDq9vGT9hUArPlAsSKfTbwY+BiTxd5OUsHKTO6l7QkREIqLS0LAA+EuZ9e8BcsAX0+m0A0in07cDjwLvHJUajidxTe4kIiLRVWlomA68El6RSqU6gH2Axel0urOk/FPA3J2v3jiT3LZ7IqPuCRERiYhKQ4MDJpWsOxh/tcRTZcp3MUpXZowr8TIDIdXSICIiEVFpaFgOHFWy7hh8mPhjmfLTgdd3vFrjlG5YJSIiEVZpa8C9wIWpVOqrwL/huyXOx49nuLtM+cMo6c4QhoSGJvLgnFoaREQkMiptafgu0Al8A9iEb12YAVyfTqfXhQumUql5wCHAA6NYz/EhFofY4CmPU1BoEBGRyKgoNKTT6TXAIuD3QB+wCvge/pLLUp/Aj2n4r1Gq4/hSctMqdU+IiEhUVDxYMZ1OPwscV0G5bwLf3JlKjWuJJGT6AWhyebU0iIhIZOiGVbVWMleDWhpERCQqRuuGVQfhr6Yw4KF0Or14NF53XCq5aZVaGkREJCoqvWHVolQqdWMqlTqizLZL8XM1fA/4F+CPqVTqylGt5XhScv8J3RpbRESiotLuiY8AHwWeC69MpVLvAC4BCsBNwA+BDcBFwd0vpVRpaFBLg4iIRESloeFI4I/pdLqrZP2n8BM8XZhOp/8unU5/Bn+VRQ44e/SqOY6Euyd0yaWIiERIpaFhNvBimfXHAt34u1wCkE6nnwfuARbudO3Go226JxQaREQkGioNDdMomRY6lUrNBGYCj6TT6VxJ+Rfxkz9JqSEDIdU9ISIi0VFpaOhl2xBwaLD8U5ny/fguCikVV0uDiIhEU6Wh4XngxFQqFb5E87348QyPlCn/BmDNTtZtfCrpnsgVHAXn6lghERGRylQ6T8Pt+PtP/CaVSv0Qf8OqT+Kni/5dmfJHUXKlhQRKBkIC5PIFmhLxetVIRESkIpWGhquB04D3ACcE6wz4P+l0ui9cMJVKHQ7MD/aRUkNuj+3naMjmFBpERKTxVXrDqn78pZSX4G+FfRPw/nQ6/YMyxQ8Gfg38drQqOa6UdE8AZDSuQUREIqCaG1Z1A5dVUO5HwI92plLjWsk00gD9mhVSREQiQDesqrXQ1RMJfFjozyo0iIhI46v6hlWpVGoC8GH8YMfZ+Cso1gB/AG4PWiRkOMltuycUGkREJAqqamlIpVJnAMuB/wucA5yEv/TynGDd8lQq9fFRruP4Eg8PhAy6JxQaREQkAioODalU6gLgZ/jZIRcD3wbOB1LB8yeCbTemUqnPjn5Vx4mSGSEB+hQaREQkAirqnkilUvsAVwKbgI+n0+l7yhT7aiqVejdwM3BlKpW6N51OvzB6VR0nylw9odAgIiJRUGlLw0X4eRlOGSYwAJBOp38HnALEgQt3vnrjUCI8EFLdEyIiEh2VhoZ3Afen0+k/bK9gOp1+BPg9cNzOVGzcim87uZNCg4iIREGloWEu8GQVr/tksI+U0tUTIiISUZWGBofvnqhUNWV3LfFtJ3fSmAYREYmCSkPDSuCwKl73rcCr1VdnF5DYdnInhQYREYmCSkPD/wCLUqnUUdsrmEql3g4cHewjpUKhoUndEyIiEiGVhobv47sofplKpYYd4JhKpd4F/ArIA/+689Ubh8rM06DQICIiUVDRPA3pdPrFVCr1eXx4uCeVSj0O3IfvgnDAHvirJd6GH8/wD5qjYRjlblil0CAiIhFQzV0u/y2VSnXig8Ph+IAQZkAn8Pl0On396FVxnAlP7qQbVomISIRUde+JdDp9I75V4e+B64G7gXuAG4BPAvMUGLaj3IyQuUK9aiMiIlKxqu9ymU6nt+JDwg3DlUmlUi1AUzqd3rzDNRuvyl1ymcnVqzYiIiIVq6qloQrXAhsrKWhm+5jZN83sMTNbZ2ZbzGyJmX3FzCaUKb+vmf3KzDaZWbeZPWRmxw7z2pPM7GozW2VmfWb2rJmdb2b1m0dCkzuJiEhEVd3SUIVK35j/HvgM8BvgJiALHANcBnzUzI5wzvUCmNlewCNADvgu0AWcC9xjZic65+4b+OZmTcDvgEOAq4HngBOBNDADuHQnj2/HhFsaNKZBREQiZCxDQ6VuBy53znWF1v3QzF4EvoIfK/GDYP3lwGTgrc65JQBmdiPwLHCNme3nnHNB2XOAhcCFzrmrg3XXmdkvgC+b2fXOuRVjemTlDBnTEFw9oTENIiISAWPVPVEx59ziksBQ9PNgeQBA0FVxMnB/MTAE+28FfgLsgw8JRacDPcB1Ja/7fSAJfGxUDqBaZQZCqqVBRESioO6hYQTFG169HizfAjQDj5Yp+1iwXAhgZjHgUOBPzrm+krKPAwWGBozaKTO5kwZCiohIFDRkaDCzOHAJfuzCzcHq2cFyVZldiuvmBMspQGu5ss65fmBDqGzp9z7PzBbvWM0rEA/fe2Kwe6Iw0KsiIiLSmBoyNOC7EI4ALnHO/S1Y1xYs+8uU7yspM1LZYvm2chuccz92zlVzc67qJLe99wRARuMaRESkwVU0EDKVStWs093MvgV8Fvixc+7y0KaeYNlcZreWkjIjlS2W7xlm29iKb9s9AX5cQ0syXo8aiYiIVKTSlgbbgUfVzOxS4Kv42SY/XbJ5dbAs161QXFfsjtgE9JYra2bNwDTKd3OMvfhgMIjjiOn+EyIiEhGV3rBqzLsxzOzrwNeBG4FzQpdOFj2D7244sszuRwTLxQDOuYKZPQUcYmbNwTiGorfhw9LYjVsYiZm/giKXBfyskBmL0afQICIiDa4hxjSY2SX4yZb+HTjbObdNB39waeVvgaPN7KDQvu34ORlexF8ZUXQLftzCeSUvdTF+gOWto3gI1UmEB0PqsksREYmGuk/uZGafAb4BvIK/3fbpJbM8v+6c+13w/EvAu4B7zewqYDN+Rsg5wHtLWieuA84GrjSz+fgZIU8CPgBc5pxbNlbHtCyDmCsAACAASURBVF2hyy6LEzyppUFERBpd3UMDg/Ml7AH8rMz2B/DTQeOce8nMjgK+A/wT0AQ8BbwnPIV0UDZjZsfhp6M+DT+O4WXgAuCaMTiOymmCJxERiaC6hwbn3FnAWVWUfw44pcKynfgrMT67I3UbM2UmeFJoEBGRRtcQYxp2OaHLLpMa0yAiIhGh0FAPZbonNKZBREQanUJDPYSvntBASBERiQiFhnoYcvWEuidERCQaFBrqYUhLg0KDiIhEg0JDPYRbGtA00iIiEg0KDfUQ10BIERGJHoWGekiqe0JERKJHoaEehtweW1dPiIhINCg01ENCkzuJiEj0KDTUg+49ISIiEaTQUA9lJndSaBARkUan0FAP8W0nd9KYBhERaXQKDfUQunpCYxpERCQqFBrqIb7trbHV0iAiIo1OoaEeNBBSREQiSKGhHoYZCOmcq1eNREREtkuhoR5C8zQ0mw8NDsjmC3WqkIiIyPYpNNRDmdAA0JdRF4WIiDQuhYZ6CHVPNNtgl4QGQ4qISCNTaKiHcGhgsKVBgyFFRKSRKTTUQ+iSyyZTaBARkWhQaKiHUEtDU7ilIafQICIijUuhoR6G3OVSAyFFRCQaFBrqIdzS4AaDgronRESkkSk01ENi23tPgK6eEBGRxqbQUA+J8L0nNKZBRESiQaGhHsrcsArUPSEiIo1NoaEekuF7Tyg0iIhINCg01EN8MDTEC6ExDbp6QkREGphCQz2ExjTEC7mB530a0yAiIg1MoaEeEuVbGtQ9ISIijUyhoR5CLQ2xUEuDQoOIiDQyhYZ6CLU0xPIKDSIiEg0KDfUQD7c05MH522NrcicREWlkCg31EItBPD7wZSK4/4RaGkREpJEpNNRLqLUhGczVoJYGERFpZAoN9ZLYdoIntTSIiEgjU2iol+aWgadtLgsoNIiISGNTaKiX9okDTzvyfYC6J0REpLEpNNRLKDRMLvQCamkQEZHGptBQLx2TBp5OzA+GBhdcfikiItJoFBrqpX0wNExxvnui4CCbL9SrRiIiIiNSaKiXUPfEVPoHnvdnFRpERKQxKTTUSyg0FFsaQOMaRESkcSk01EvH5IGnkwqDoaEvmytXWkREpO4UGuol1NIwMbh6AtTSICIijUuhoV7C8zTkBkOD5moQEZFGpdBQL6FLLjtyPQPPNRBSREQalUJDvYRaGtqyvVgwP4O6J0REpFHVPTSY2ZfM7DYzW2pmzsyWb6f84WZ2n5ltMbPNZna3mR08TNnZZnajma0zs14zW2xmHxmTA6lWIgmtbQDEcLQX/GWXGggpIiKNqu6hAfg2cCzwMrBppIJmdgTwALAAuAT4OvBG4CEzO7Ck7FTgYeCDwLXARcBW4FYzO3uUj2HHhCZ4mqippEVEpMEl6l0BYC/n3FIAM/sL0D5C2X8DMsAi59yqYJ9bgeeA7wHHh8r+Ez5cnOyc+21Q9qfAo8C/mNltzrmto30wVemYBOvWADAp38uq5BSFBhERaVh1b2koBobtMbO9gYXAbcXAEOy/CrgNOM7MZoZ2OR14uRgYgrJ54GpgKnDSKFR/54TGNRTnaujTQEgREWlQdQ8NVVgYLB8ts+0xwIC3ApjZLGBOsL5c2fDr1U94roa8uidERKSxRSk0zA6Wq8psK66bswNlhzCz88xs8Q7VsFqhyy6LLQ39OYUGERFpTFEKDW3Bsr/Mtr6SMtWUHcI592Pn3GE7VMNqtYdDg29p6Mvo6gkREWlMUQoNxRmQmstsaykpU03Z+inbPaExDSIi0piiFBpWB8ty3QrFdat2oGz9tG/bPaFppEVEpFFFKTQ8ESyPLLPtCMABTwI459bgQ8ERw5QFqM24hZGExjQMtDRoTIOIiDSoyIQG59xL+Df6j5hZcaAjwfOPAP/jnHsttMstwF5m9v5Q2ThwAdAJ3FWTio9kyCWXunpCREQaW90ndzKzM4F5wZfTgSYz+2rw9Qrn3L+Hil8E/B4/A+TVwboL8OHn8yUv/R18mLjZzK7Etzychr/U8hzn3JZRP5hqhbsn8kH3REahQUREGlPdQwPwSeCdJeu+FSwfAAZCg3PuETM7GrgseDjgEeAjzrmnwy/gnNtgZkfhw8Nn8DNN/hU41Tn38zE4juq1TYBYDAoFJrgMCZdXS4OIiDSsuocG59zRVZZ/FHhXhWVXAWfuQLVqIxaDCRNhSycAE/N9GtMgIiINKzJjGsatjqHjGtTSICIijUqhod7ah15BoUsuRUSkUSk01FvJVNJqaRARkUal0FBv4VkhC73kC45sXrNCiohI41FoqLfwXA2606WIiDQwhYZ6KzOVtEKDiIg0IoWGeiszlbQGQ4qISCNSaKi3IVNJ+5aGnn7dHltERBqPQkO9DZlK2rc0vLp+a71qIyIiMiyFhnrrGHr1BMDytfW/LYaIiEgphYZ6K71plXMsW6fQICIijUehod6aW6CpGYAm8rS4LCvU0iAiIg1IoaERlMzV8HpXL9392TpWSEREZFsKDY2gzFwNK9ZpMKSIiDQWhYZGoMGQIiISAQoNjaB0MCSwbO3metVGRESkLIWGRjBkgie1NIiISGNSaGgEHdtO8LR87Racc/WqkYiIyDYUGhpBqHtiKv0AbO7NsnFrf71qJCIisg2FhkYQ6p6YkRi81HK5JnkSEZEGotDQCELdE7vZYOuCxjWIiEgjUWhoBKGWhonB1ROg0CAiIo1FoaERhMY0tGa6B54rNIiISCNRaGgEEzoGnsZ7u4m5AgAr1m0hX9AVFCIi0hgUGhpBIgFt7QCYKzC3xQeF/lyB1zp76lkzERGRAQoNjSI0GPKAjsLAc3VRiIhIo1BoaBSz5w08PWbLcwPPlyk0iIhIg1BoaBTvPGng6f7LH6elkAHU0iAiIo1DoaFRvOlQmDEHgGSml+O6/wbAct24SkREGoRCQ6OIxeDYkwe+PHnL0+Acqzb2kMnl61gxERERT6Ghkbz9OGhuBWBedhOH9L1KwTleek2tDSIiUn8KDY2kdQIc9e6BL0/Z8mcArr3nWfKFwnB7iYiI1IRCQ6MJdVEc3ruMmdkuXljdxa2PLK1jpURERBQaGs/MuXDAYYD/4ZwctDb8xwMv8LK6KUREpI4UGhpRqLXhxJ7nmJntIldwXPHrJWTz6qYQEZH6UGhoRAccBrvPBqAt30/6tf/knd0vsGztFm5+8MU6V05ERHZVCg2NKBaDj30K4nEAJhQyfHn9PVy84b/55UPP84vHllJwupGViIjUlkJDozrocPjilTB91sCqE7f+lR+svoWlv7yDr//HI2zY0lfHCoqIyK5GoaGR7bkvXPIDeNvRA6vm5jr5wob7uPDhK7nr8iv549PLcGp1EBGRGkjUuwKyHa0T4NwvwpsOxf3ntVhfLwDT892cufZBMlc/zMsTZlFYsB9z3raQCfsfAJOngVmdKy4iIuONQkMUmMH/Oh479O1w/51k772D5NYuAJoosHf3KvjLKvjLfwPQ3zyB7Iw9aF6wF8l5e8GCff1dNIMxEiIiIjtCoSFK2trhpI+RfPcH6H3wXrrvvJ3dNr+2TbHm/m6aX3kOXhm8xXY+0QTz3kh8z31g1h4w6w1+Toj2SWqVEBGRiig0RFGyidZ3vY/Wd72P3g0b+OsDf2DT00uYsX45e2bWMcFlt9klnsvAy8/6R4hr68D22BP22Bv22AvmzPdXb2SzkMtCPue7O6bNgIR+XUREdmV6F4i41mnTeOsHT4YPnswr67bw+xUbeO3lZfQvX8qEda+yV2Yd+/a/zu75rWX3t54t8PzT/jGSWMwHh91n+eWU3WDqdP9INoNzQDAgc+IUf9VHrEHH2Wb6IZFs3PqJ7Iy+Htiw1rco6ndcRplCwziyx/QO9pjeAYfNB46hL5Pj2ZWb+O2yDSx9YRlNr77Egv51vCHbydzcJt6Q3USLy1X24oUCrFvjH5VobvGtFm/Y09+5c9N62LTOLx1+8qoZs2H3OT54xGIQi0M8BskmmDTVt3C0Tti2+yTTDyuXw6svwSsvw9rVPsgs2CcYvzHft4oUCpDpg+6tsPR5eOEZ/1i13Hf1vOMEOOb9sNvMCs8w0NMNf3vaH8fseTBvb1/HndG9BV5bCckkTJoGHZNq/88+n/f1aJ9Y2fd2DjZv8uFrQsfY129X1tfjly1tI5fr7Yb7fgX33uGf77U//N1F/u9QGp9zsHKZ/3nPeyM0NQ/d3rMV/voUrFrhf749W/3/o56tvrv5zAtrUk3T5XrlpVIpB5BOp+tdlVGzpTfLi2u6WPr6Zpat3cyy1zbT99oa5vW9zt6ZdeydWcfsbCcFi5GxOFmL4zB2z21h+jAtFWOuqdmPuyjkIZsZfIz0e5tI+kGf/RXMY2ExOPgIOOwd0NTi37jjCR9UctnBx5pX4dknffgovePozLkwd09om+Bfo6nJ1yGXhUwGsv2+zhbz9YrHfXBauxpWr4DODUNfLx73rTXTdg+NP3mDPxddG6Frk3/Dzuf9G/aEDv9m397hz9XEyX4Zi8HWLujc6EPO5k7/D6a32z+2bvafSDeshc71/rg6JsH+h8CbD/XLeMJ/r66N/nVWLYdXl8LKpX5/8PvMnAsz5voA2NIGLa0+TMVi/jxks/4c9PX6cNK92S/7ev3PNp/3398VgnOUGFwmm4Lz2uzDaMckf34mTfHLWGzoa7RO8Nva2gcDZ6YfNm3wwXX9a7B2jT//69f4n8sb9vT/qOft7c95U/PQsNrXAxuD0Lt1s//5JpL+9yWRDL533nfn5fOhr4M6TWiHjsm+vh2TAOePvb/PP/I5/zvtnN9vzauw9Dn/+7bmVV+HOfNhnwNh37f4rkQz/3tUKMBTf4C7b/XntPR36YSPwPtOG/omlMv5beXGMznnjzeR9Oe+dFum35+DXC4I+zH/Ok3N/txXM+A6n/e/WxvW+p/LmldhzSt+uf41fy6KYnGY/0ZY+E7/9zppauXfp9wxbunyx+EKg+feucGvC84f2+Sp/m8qNsJx5bL+b/m1lb5ecxb4v8dK5HLw5ENwzy/glZf8ukQS9n4T7HeQf/7nx+Hlv/rzVc78N8JXr67uHIxs2IFuCg3DGI+hoZx8wbF+cy+rNvawamM3qzd2s2ZTj3909tCf9b+kTYUcs3JdzM51MT0IEdNzW5mW30rCFcDAYRiOmdnNTC301PnIhHjCvxntqhJJ/88+k/HhqVrJJv9wBeiN+O/zbkGXYtcmHx6LoaCt3YfO1jYfYrZu9oGu+OaUSPptLW3+jXFLl1+OpLnVh6S2dh9e2ydCx0T/Wlu3BG/Wnb4enRu2DeGVsJgPT3Pnh0Jm0HBe+sbv8sGy4APw66th7arqfqYW80F08lRomeBDcUurD0urlvtP/6V/a1N2G7xqrbfbtwr0dvsAPHmqDxcTOuBPj/gwujOmz4LLr9+51xhKoaFau0poGIlzjs7uDBu39rFxaz8bt/azYUsf6zb3sW5zL+u6/LK7f9s3psn5HvbMrGfPzHriFFgfb2d9op118XZiOGZnO5mT62J2tpPJhV5irkAcR4wCrYUsU/M97JbfWrb7pACsSkzm5abpvNw0nVeTk5mT7WK/7Ovs0/86M3KDn7b6LEGvJVmVnMxf297AssnzeX3aHrxxy6ssWv1H3rxleXXnBGPD1LlsmTyTyZ2rmbRpDTG3kzcRSyT9J3Xn/D/R0k+LtdLU7D9FVqqlzf+jzGbGrk4y2F1UyZvrbjPh5DN8S8RNP4AXn93+PtI4kk2+te71VeW3z3sj7H+wD8Nt7b5lp9jSOHfBaNZEoaFaCg2V6+7PDgSItV29bO3L0tOfoy+bp6c/R28mR08mT29/jp7+HD2Z3ECZETlHm8swMd9H1uIDXSYZS1Cw4fvd2woZCkC/JXHbuZx0j8xGTuj+K7vntpB0+YEHQDb4fjmLsTnWwtMtc1nS8ga64q0D+zcVcuyZXc/cYHxIk8vRXMiRJE/W4vRbgowlyJhv2ky4AnEKJA02NU1kVeturGuajMXjFJwjly9ANsukzBZmZTYxN7uJPbJ+maBAZ2ICXcl2tja3U4jFac/3057vpT3XS0e+l4m5HjpyvbTleogBfYkWtrRMpDt49CZa6Ik10x1rojvezObWyWxum0p36yQsmWRu71r2Wv8S89a/yIz1K8gnkvS3dtDfOon+tg66J+7Oxqlz2TR1DpvbppKIwaT+LqZuWcfEzWtp6t2C9fcSCx5WyJNPNOHiSQqJJPlkE/nWdgqtHbgJ/p9eU1OSZFOSpqYEiXicQi5PLpcln83islni+RzJfIZ4Lks820e8ezPxzZuIb+0ktrULAywe949YzHfBdG3C+nsHf5XicWzytGAA7+5+QO/0WTB9NuQysOJlWPGibx7euG7bT9OJpP9nPmU3372Qzw9eYZTLBONxgk+78djg82LTffcW2BJ8ut7c6T99NrX4T6tNzf71zQYDwqSpsOd+flzCvDf6T8kv/dWPyfnbM76bBYOY+eWEDlh0Ihx1/OBVToUCPHwP3PYT/wk3zGzkLr6m5qCbpczfaCLp36SSTb77oFDwj2zGf59q31M6JsO06f7nMnNu0CW3B8yc4wdZF23d7D+VP/GAPw87+97V3Oo/8cfjgPlzUvwZWGywi7JzY2UtVdNnwew9fDfY6hXbb5EJ65gMx74fjn6f//3q3OAHp//tz/687ncwHHjYznXJVEehoVoKDWMvXyjQHQSJTDZPf65AJueDRmd3hs6efjq7M2ztzQ7coMsB+XyBrp4Mm7ozdHb7MsPdwCsZj9GUiNGXzZMv7Dq/6zFXIOEKZGK77ljnlkKGyfleMhanM95GLB4nHo8N/E40J+M0JWLEzMjmCmTzhYFbz7ckYrTHHe3xgv/9SbZhsRixmOGc8wE4k6M3kyeTy9PalGBCc4IJLUkmNCeIhcKqA3L5Apng9zubK2BmxGNGIm7Eg9eNx4xYsL5Yx6ZEjKZknJgZmVyeTK5ANleg4FywPT6wTMSMRDxGPHjNuEEsZjT39zBl7TIysQTdTe1sbe6gN95CM3na8n1MyPXSku+nkGwhP6GDfGs7JJtwBQe5DNbbQ6y/B5dMkm3pwCWbiAXhpniYhpFMxGhJGu0uR1u+n0TvFjJdneS6Oils7sJl+nHtE7GOycQnTiI2aTL5idOwpibM/LEn4v4YkvEY8ZgNnLP+rP/ZJGJGUyJGS08XbS89Tby3G5fPY8FYEjOweIxYLIYFAaDgjLwZBWe41jbiM+eSnD2XxJQqZs7NZgbHE/X1+u6dvl4fGGfM9WNiwgOC8/nBMUuxuB/v1NbuW+f6e30o6NroH9NmwKFHbTt+pL52zdBgZjHgIuBTwHxgHXArcIlzrnuEXRUaIqb4Kb1QcOQKjkTwT7f4z9s5R09/js29WTb3+ub05kSclmScpmSMXN6xpTfLlt4MW3qz9GWHDjjKF/w//f5cnkzW/yPLFxzZfIFcvkB/rkBPf47uvizd/Tl6+3PE4/6ffzLu3xR6+nNsCb5/Jlddl4YxcEGriIyCmBnJuG9dMIKGBmygwaH4vllwjnzBUSg4nHM0J+O0NMVpSSZoTsYH/jadc8EwiqB8sIwZJOIxErEYibgRC8KhGcFy6PtzIm5MaErQVgygMRtope3N5MjkC8SDcBkLwuHMKW2c9+43jebpGTY0jPePIVcBFwK/BL4H7B98fYiZHefcznZGS6OImdGUGH50s5n5T4EtSWZNKX/p2u6TWsuuHwuZXJ5svjDwzyiXd8Enz1jw6TP4BGoM/FPJFxzZXJ6+rP/EmcsP/fXNF5z/VJYrkAnKZPOFgU/R+UKBpkScZPAJNhGLBWHLkSsUBj4N92fz9Aef7vL5wkA9c4UCMRv8NBwzI1coli8MDppNFD/Nxwc+mReCf6i5fIFc3g18qs/k8vRl/DH1ZnJkc4WBT5rJhP+0WQyCuXyBXKEQDHJ3wYUDbuC4i8fp3OA/fd8K79iFGpmkQgXn6M9V/4uR688F47iqGP8zxvacMbFm32vchgYzezNwAXCHc+5DofXLgH8DTgVurlP1ZBfnm5WruxdIPGbEmxK0NI3bP9sxU2yJ8sEraDEKwlXB4YNUEFQA+rI+zPiWpfxAQCk4h5nR2hSntSlBW1OCZCJGXybP1v4s3X05uvuz2zQLJROxIKzFScZjwGBYy+fdkE+zxRasYndEfy6Pc9CciJEMuiMMyOQLoW49H/ByhaGvWXDFT8hs0/Q/+H0GuzyK5YvHGQ6IAA7/WsWuvmJ4KwbC3qDLpjeTo+Ac7cGn5QktSZLxGP3ZPL3ZPH2ZHP1Zf1zFT+n54NhzoaCajMdoSsZoDs5bvuDoDwJi8bzAYC9DMWDmC4583ncDJYMgnoj7kJzJFujL5oft0oyiWA3vBDCe//uchm9i+X7J+uuA7wBnoNAgsksIt0S1NlTXsdRLLuhaLIYeh08wDh8yi8HPdwP48ATQn/XhqC+bH2hdi4VatgaCVsyIm5F3bjDQ5Qv+6s9QQCuVyRfoCcJnT3+OfMHR2uwDamtTgqZEbJsukLbm2r2Vj+fQsBB/dd7j4ZXOuT4zWxJsFxGRXZDvCqx+5tWmRJyO1uQY1CgaxvPE5LOB9c65ch1Pq4DdzGybzxxmdp6ZLR7z2omIiETMeA4NbQw/UqUvVGYI59yPnXOHjVmtREREImo8h4YeoHmYbS2hMiIiIlKB8RwaVuO7IMoFhzn4rgvNfysiIlKh8RwansAf39vCK82sBTgY0LgFERGRKozn0PBz/EUzF5esPxc/luGmmtdIREQkwsbtJZfOuWfM7Brgs2Z2B3AXgzNCPoDmaBAREanKuA0NgYuB5cB5wHuB9cDV+HtPaAppERGRKozr0OCcy+PvOfG9etdFREQk6sbzmAYREREZRQoNIiIiUpFx3T0xGlKpVL2rICIiUksunU6XvXemWhpERESkIubG0T3FG52ZLdZ9LXaezuPo0HkcHTqPo0PncXSM9XlUS4OIiIhURKFBREREKqLQUFs/rncFxgmdx9Gh8zg6dB5Hh87j6BjT86gxDSIiIlIRtTSIiIhIRRQaREREpCIKDWPMzGJm9jkze97M+szsVTP7nplNqHfdGo2Z7WNm3zSzx8xsnZltMbMlZvaVcufLzPY1s1+Z2SYz6zazh8zs2HrUvdGZWZuZLTMzZ2Y/KLNd53IYZjbVzP7FzF4K/obXmdnvzewdJeUON7P7gt/bzWZ2t5kdXK96NxIzazezL5vZM8H5WW9mj5jZWWZmJWV3+fNoZl8ys9vMbGnwN7t8O+UrPmdmNtvMbgx+j3vNbLGZfaTiumlMw9gys3/F3477l8B/4W/PfQHwEHCc7rY5yMy+A3wG+A3wGJAFjgE+CvwZOMI51xuU3Qt4HMgB3we6gHOBA4ATnXP31fwAGpiZ/QvwKaAduMY599nQNp3LYZjZPOB+/Hn7KfACMAl4C3CPc+4/g3JHBOVWAcVQ9llgd+DtzrlnalrxBmJmMeAB4O3Az/B/223AacDbgO86574YlNV5BMzMARuBp4C3Apudc/OHKVvxOTOzqcDiYNuVwErgdOCdwN87567fbuWcc3qM0QN4M1AAflGy/gLAAafXu46N9AAOAyaVWX9ZcL4+G1p3K5AHDg6tawdWAH8jCMR6OIBD8YHgH4Lz+IOS7TqXw5+7h4BXgVnbKfc4sBmYE1o3J1h3b72Po87n8Mjg9+6qkvVNwFKgU+dxm3O2Z+j5X4DlI5St+JwB3w1+Fu8PrYsHr7EBaN9e3dQ9MbZOAwz/6S3sOqAHOKPmNWpgzrnFzrmuMpt+HiwPAAi6Kk4G7nfOLQntvxX4CbAPsHCMqxsJZhbH/77dDdxRZrvO5TDMbBHwv/CfhNeYWdLM2sqU2xt/jm5zzq0qrg+e3wYcZ2Yza1XvBjQxWK4Or3TOZYD1QDfoPIY555ZWUm4HztnpwMvOud+GyuaBq4GpwEnb+54KDWNrIb6l4fHwSudcH7CEXfSf8Q6YGyxfD5ZvAZqBR8uUfSxY6tx6nwP2wzdXlqNzObziP9BXzOy3QC/QbWYvmFk48BfPz3Dn0PBNzLuqx4FO4B/N7CNmtkcwhuZy/Hm5NCin81i9is+Zmc3Ct0A8NkzZ8OsNS6FhbM0G1jvn+stsWwXsZmZNNa5TpASflC/BN6/fHKyeHSxXldmluG7OGFet4ZnZAuAbwDedc8uHKaZzObx9g+V1+E9hnwA+CWSAfzezs4PtOocjcM5twrdmbcR3ha0AnsePX/qQc+66oKjOY/WqOWejcn51a+yx1QaUCwwAfaEymdpUJ5K+DxwBfNk597dgXbGJuNy57Sspsyu7FliGH/A0HJ3L4XUEyy3AMUFzOmb2S3xf/LfN7GfoHFZiK75v/jfAI/gQ9hngZjM7xTn3O3Qed0Q152xUzq9Cw9jqwY9SLaclVEbKMLNv4ZvVf+ycuzy0qXjOmsvspvMKBM3nxwOLnHPZEYrqXA6vN1jeUgwM4D85m9lvgL/Dt0boHI7AzA7EB4XPOed+GFp/Cz5IXBdcwaPzWL1qztmonF91T4yt1fguiHI/pDn4rgu1MpRhZpcCXwWuBz5dsrk4oKpcU1pxXbkmuF1C8Pt2JXAX8JqZ7R0MmJoXFJkUrJuMzuVIVgbL18psWxMsp6BzuD2fw78p3RZe6ZzrAe7E/17OR+dxR1Rzzkbl/Co0jK0n8Of4beGVZtYCHIy/XlZKmNnXga8DNwLnuOC6oJBn8E1sR5bZ/YhguSuf21ZgOvBe4MXQ4/5g+xnB1+egczmS4gDmuWW2Fdetxf+dw/Dn0AFPjm7VIqX4hhQvsy0RWuo8Vq/ic+acW4MPBUcMUxYq+Vuv9/Wo4/kBHMjI8zScUe86NtoDP+jR4QNDbIRyt+HnFjgotK44t8AL7NpzCySBD5d5nB+c2/8Kvt5H53LE8zgFf637SkLXrwOz8H30L4TWRx7tCQAABWtJREFUPRGUnR1aNztYd1+9j6XO5/Gq4PfuH0vWF1u6NgIJncdhz9/25mmo+JwBVzD8PA2bgI7t1UczQo4xM7sa3y//S3xz8f74GSL/ABzrNCPkADP7DH5Gs1eAr+EDV9jrzg+YKl6f/Dh+1sir8H8g5+KD2nudc/fUqt5RYWbz8QMjS2eE1LkchpmdB/wIeBb4v/gJic7HB4f3OefuDcq9Hfg9PmBcHex+ATADOMo593SNq94wglk1n8KHsJvw//um4n/H5gOfcc6lg7I6j4CZnclgd+IF+N+77wVfr3DO/XuobMXnzMym4VsepuG7MFfh5xM6Gt+q+9PtVq7eKWq8P/Ap7vP4mfX6gx/SlVQw89au9gBuwKfg4R73l5TfH/g1/hrwHuBh/NTcdT+WRnzg/0FvMyOkzuV2z9sH8dexd+OvpLg3+Gf8/9q7mxCtqjCA4/9BUNpkLSQrXEVYEZGSSSVZFGEL6YNiqPwg2sizKqIICZxoYxAYQk9Cm0jTdFORUJGJiRaSlFFQ2WagtK9NVpBGZYtzRy6X9x3Pq05T4/8Hl8Oce+6dc9/FvM+ce855uu2uA96jjEL8CrwDzJ/s/v8XDuASyhbS31KC01+A3cDdfo49P69dtX8HB/3MKK+LNlI21jpKCeiGa/vmSIMkSariREhJklTFoEGSJFUxaJAkSVUMGiRJUhWDBkmSVMWgQZIkVTFokCRJVcxyKWnKi4gRSj6TmzNz1+T2Rvr/MmiQdFIRUbMLnF/I0hRn0CBpEE+Nc2703+qEpMlh0CCpWmaOTHYfJE0egwZJZ1x7DgElW9/DwGWUZDrbgdWZ+X2P6y6lZDi9BZhFSaqzA3g6M7/u0X4aJVvicuBKSjbAQ5SEP8/0ueYe4PGm/VFKAqpHM/PQ6TyzdDZw9YSkifQIsAH4FHiOku31QeCDiJjVbhgRC4D9wDLgI+BZSnbJB4D9EXFNp/104G3gBWAOsBlYT0n9exdwQ4/+BLCJ8irleeBzYBjYEREzTvtppSnOkQZJ1ZoRhF6OZubaHvW3Awsz85PWPdZRRh7WAg81dUPAy8C5wLLMfKXVfhh4FdgUEVdk5t/NqRHgVuBN4N7MPNa6ZkZzr64lwILM/KzVdjNwH3AHsK3vw0typEHSQNb0OZ7o035jO2BojABHgPtb/91fT3l98WE7YADIzK3AHmAusAhOvJYI4HdgVTtgaK45lpk/9ejP+nbA0HixKa/t8wySGo40SKqWmUMDXvJ+j3sciYgDwGLgcuAAML85vbPPfXZSAoZ5wG5KgDET2JeZhwfoz/4edd805fkD3Ec6KznSIGki/dCnfmwS5MxO+V2f9mP153XKQScv/tyj7s+mnDbgvaSzjkGDpIl0QZ/62U15pFPO7tEW4MJOu7Ev/4tPvWuSBmXQIGkiLe5WRMRM4GrKcscvmuqxeQ839bnPWP3HTfklJXC4KiIuOhMdlXRyBg2SJtLyiJjXqRuhvI7Y0prAuJeyHHNRs4/CCc3PNwIHKRMiycy/gATOATZ0l0tGxPTukk5Jp8+JkJKqjbPkEuD1zDzQqXsL2BsR2yjzEhY1xyitFReZeTwiVgLvAlsj4g3KaMJc4E7KplArWsstoWxpvRBYChyMiO1NuznAbcBjwEun9KCSejJokDSINeOcG6WshGhbB7xG2ZdhGPiN8kW+OjN/bDfMzH3NBk9PUvZfWErZEXILZUfIrzrt/4iIJcAqYAWwEhgCDje/c8/gjydpPEPHj9ckr5OkeqailqYm5zRIkqQqBg2SJKmKQYMkSarinAZJklTFkQZJklTFoEGSJFUxaJAkSVUMGiRJUhWDBkmSVMWgQZIkVfkHrubRUz6dQJcAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 576x432 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "reload(ooo)\n", "ooo.plot_history(history, plot={'MSE' :['mse', 'val_mse'],\n", @@ -279,11 +769,12 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "---\n", + "That's all folks !" + ] } ], "metadata": { diff --git a/BHPD/02-DNN-Regression Premium.ipynb b/BHPD/02-DNN-Regression Premium.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..0c444d504843c6a3ecf40fb1c33dade35490c42b --- /dev/null +++ b/BHPD/02-DNN-Regression Premium.ipynb @@ -0,0 +1,394 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Deep Neural Network (DNN) - BHPD dataset\n", + "========================================\n", + "---\n", + "Introduction au Deep Learning (IDLE) - S. Arias, E. Maldonado, JL. Parouty - CNRS/SARI/DEVLOG - 2020 \n", + "\n", + "## A very simple example of **regression** (Premium edition):\n", + "\n", + "Objective is to predicts **housing prices** from a set of house features. \n", + "\n", + "The **[Boston Housing Dataset](https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html)** consists of price of houses in various places in Boston. \n", + "Alongside with price, the dataset also provide information such as Crime, areas of non-retail business in the town, \n", + "age of people who own the house and many other attributes...\n", + "\n", + "What we're going to do:\n", + "\n", + " - (Retrieve data)\n", + " - (Preparing the data)\n", + " - (Build a model)\n", + " - Train and save the model\n", + " - Restore saved model\n", + " - Evaluate the model\n", + " - Make some predictions\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1/ Init python stuff" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "from tensorflow import keras\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import os\n", + "\n", + "from IPython.display import display, Markdown\n", + "import fidle.pwk as ooo\n", + "from importlib import reload\n", + "\n", + "ooo.init()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2/ Retrieve data\n", + "\n", + "**From Keras :**\n", + "Boston housing is a famous historic dataset, so we can get it directly from [Keras datasets](https://www.tensorflow.org/api_docs/python/tf/keras/datasets) " + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "(x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data(test_split=0.2, seed=113)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**From a csv file :** \n", + "More fun !" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('./data/BostonHousing.csv', header=0)\n", + "\n", + "display(data.head(5).style.format(\"{0:.2f}\"))\n", + "print('Données manquantes : ',data.isna().sum().sum(), ' Shape is : ', data.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3/ Preparing the data\n", + "### 3.1/ Split data\n", + "We will use 80% of the data for training and 20% for validation. \n", + "x will be input data and y the expected output" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ---- Split => train, test\n", + "#\n", + "data_train = data.sample(frac=0.7, axis=0)\n", + "data_test = data.drop(data_train.index)\n", + "\n", + "# ---- Split => x,y (medv is price)\n", + "#\n", + "x_train = data_train.drop('medv', axis=1)\n", + "y_train = data_train['medv']\n", + "x_test = data_test.drop('medv', axis=1)\n", + "y_test = data_test['medv']\n", + "\n", + "print('Original data shape was : ',data.shape)\n", + "print('x_train : ',x_train.shape, 'y_train : ',y_train.shape)\n", + "print('x_test : ',x_test.shape, 'y_test : ',y_test.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.2/ Data normalization\n", + "**Note :** \n", + " - All input data must be normalized, train and test. \n", + " - To do this we will subtract the mean and divide by the standard deviation. \n", + " - But test data should not be used in any way, even for normalization. \n", + " - The mean and the standard deviation will therefore only be calculated with the train data." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "display(x_train.describe().style.format(\"{0:.2f}\").set_caption(\"Before normalization :\"))\n", + "\n", + "mean = x_train.mean()\n", + "std = x_train.std()\n", + "x_train = (x_train - mean) / std\n", + "x_test = (x_test - mean) / std\n", + "\n", + "display(x_train.describe().style.format(\"{0:.2f}\").set_caption(\"After normalization :\"))\n", + "\n", + "x_train, y_train = np.array(x_train), np.array(y_train)\n", + "x_test, y_test = np.array(x_test), np.array(y_test)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4/ Build a model\n", + "About informations about : \n", + " - [Optimizer](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers)\n", + " - [Activation](https://www.tensorflow.org/api_docs/python/tf/keras/activations)\n", + " - [Loss](https://www.tensorflow.org/api_docs/python/tf/keras/losses)\n", + " - [Metrics](https://www.tensorflow.org/api_docs/python/tf/keras/metrics)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + " def get_model_v1(shape):\n", + " \n", + " model = keras.models.Sequential()\n", + " model.add(keras.layers.Dense(64, activation='relu', input_shape=shape))\n", + " model.add(keras.layers.Dense(64, activation='relu'))\n", + " model.add(keras.layers.Dense(1))\n", + " \n", + " model.compile(optimizer = 'rmsprop',\n", + " loss = 'mse',\n", + " metrics = ['mae', 'mse'] )\n", + " return model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5/ Train the model\n", + "### 5.1/ Get it" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model=get_model_v1( (13,) )\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.2/ Add callback" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "os.makedirs('./run/models', mode=0o750, exist_ok=True)\n", + "save_dir = \"./run/models/best_model.h5\"\n", + "savemodel_callback = tf.keras.callbacks.ModelCheckpoint(filepath=save_dir, verbose=0, save_best_only=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.3/ Train it" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "history = model.fit(x_train,\n", + " y_train,\n", + " epochs = 100,\n", + " batch_size = 10,\n", + " verbose = 0,\n", + " validation_data = (x_test, y_test),\n", + " callbacks = [savemodel_callback])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6/ Evaluate\n", + "### 6.1/ Model evaluation\n", + "MAE = Mean Absolute Error (between the labels and predictions) \n", + "A mae equal to 3 represents an average error in prediction of $3k." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "score = model.evaluate(x_test, y_test, verbose=0)\n", + "\n", + "print('x_test / loss : {:5.4f}'.format(score[0]))\n", + "print('x_test / mae : {:5.4f}'.format(score[1]))\n", + "print('x_test / mse : {:5.4f}'.format(score[2]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.2/ Training history\n", + "What was the best result during our training ?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(\"min( val_mae ) : {:.4f}\".format( min(history.history[\"val_mae\"]) ) )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "reload(ooo)\n", + "ooo.plot_history(history, plot={'MSE' :['mse', 'val_mse'],\n", + " 'MAE' :['mae', 'val_mae'],\n", + " 'LOSS':['loss','val_loss']})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7/ Restore a model :" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 7.1/ Reload model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "loaded_model = tf.keras.models.load_model('./run/models/best_model.h5')\n", + "loaded_model.summary()\n", + "print(\"Loaded.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 7.2/ Evaluate it :" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "score = loaded_model.evaluate(x_test, y_test, verbose=0)\n", + "\n", + "print('x_test / loss : {:5.4f}'.format(score[0]))\n", + "print('x_test / mae : {:5.4f}'.format(score[1]))\n", + "print('x_test / mse : {:5.4f}'.format(score[2]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 7.3/ Make a prediction" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "predictions = loaded_model.predict( x_train[13].reshape(1,13) )\n", + "print(\"Prédiction : {:.2f} K$ Reality : {:.2f} K$\".format(predictions[0][0], y_train[13]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "-----\n", + "That's all folks !" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/BHPD/fidle/pwk.py b/BHPD/fidle/pwk.py index f3aa42f8fc0c295d8a328ab737de3251d026e411..fd7bc208cc25b092430d6b75439e341c253fd702 100644 --- a/BHPD/fidle/pwk.py +++ b/BHPD/fidle/pwk.py @@ -26,7 +26,7 @@ import matplotlib import matplotlib.pyplot as plt import seaborn as sn -VERSION='0.1.8' +VERSION='0.2' # ------------------------------------------------------------- @@ -160,33 +160,6 @@ def plot_image(x,cm='binary', figsize=(4,4)): # show_history # ------------------------------------------------------------- # -def plot_history_obsolete(history, figsize=(8,6)): - """ - Show history - args: - history: history - save_as: filename to save or None - """ - # Accuracy - plt.figure(figsize=figsize) - plt.plot(history.history['accuracy']) - plt.plot(history.history['val_accuracy']) - plt.title('Model accuracy') - plt.ylabel('Accuracy') - plt.xlabel('Epoch') - plt.legend(['Train', 'Test'], loc='upper left') - plt.show() - - # Loss values - plt.figure(figsize=figsize) - plt.plot(history.history['loss']) - plt.plot(history.history['val_loss']) - plt.title('Model loss') - plt.ylabel('Loss') - plt.xlabel('Epoch') - plt.legend(['Train', 'Test'], loc='upper left') - plt.show() - def plot_history(history, figsize=(8,6), plot={"Accuracy":['accuracy','val_accuracy'], 'Loss':['loss', 'val_loss']}): """ @@ -194,7 +167,7 @@ def plot_history(history, figsize=(8,6), args: history: history figsize: fig size - plot: list of data to plot + plot: list of data to plot : {<title>:[<metrics>,...], ...} """ for title,curves in plot.items(): plt.figure(figsize=figsize) diff --git a/GTSRB/03-Tracking-and-visualizing.ipynb b/GTSRB/03-Tracking-and-visualizing.ipynb index 1c93d5570ce470b8bb5334b980a87e0bb6881fc5..204e784a88e5335f5e21c0d6087428f440e9fb42 100644 --- a/GTSRB/03-Tracking-and-visualizing.ipynb +++ b/GTSRB/03-Tracking-and-visualizing.ipynb @@ -372,7 +372,7 @@ "outputs": [], "source": [ "loaded_model = tf.keras.models.load_model('./run/models/best-model.h5')\n", - "# best_model.summary()\n", + "# loaded_model.summary()\n", "print(\"Loaded.\")" ] }, diff --git a/GTSRB/fidle/pwk.py b/GTSRB/fidle/pwk.py index c21924a9b5afe905ace786a502eafadf7aebe3a0..fd7bc208cc25b092430d6b75439e341c253fd702 100644 --- a/GTSRB/fidle/pwk.py +++ b/GTSRB/fidle/pwk.py @@ -26,7 +26,7 @@ import matplotlib import matplotlib.pyplot as plt import seaborn as sn -VERSION='0.1.7' +VERSION='0.2' # ------------------------------------------------------------- @@ -160,34 +160,27 @@ def plot_image(x,cm='binary', figsize=(4,4)): # show_history # ------------------------------------------------------------- # -def plot_history(history, figsize=(8,6)): +def plot_history(history, figsize=(8,6), + plot={"Accuracy":['accuracy','val_accuracy'], 'Loss':['loss', 'val_loss']}): """ Show history args: history: history - save_as: filename to save or None + figsize: fig size + plot: list of data to plot : {<title>:[<metrics>,...], ...} """ - # Accuracy - plt.figure(figsize=figsize) - plt.plot(history.history['accuracy']) - plt.plot(history.history['val_accuracy']) - plt.title('Model accuracy') - plt.ylabel('Accuracy') - plt.xlabel('Epoch') - plt.legend(['Train', 'Test'], loc='upper left') - plt.show() - - # Loss values - plt.figure(figsize=figsize) - plt.plot(history.history['loss']) - plt.plot(history.history['val_loss']) - plt.title('Model loss') - plt.ylabel('Loss') - plt.xlabel('Epoch') - plt.legend(['Train', 'Test'], loc='upper left') - plt.show() - - + for title,curves in plot.items(): + plt.figure(figsize=figsize) + plt.title(title) + plt.ylabel(title) + plt.xlabel('Epoch') + for c in curves: + plt.plot(history.history[c]) + plt.legend(curves, loc='upper left') + plt.show() + + + # ------------------------------------------------------------- # plot_confusion_matrix # ------------------------------------------------------------- diff --git a/IMDB/01-Embedding-Keras.ipynb b/IMDB/01-Embedding-Keras.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..6b75b2d2b65b7eb32d70ff14f8dd563009d6a0fc --- /dev/null +++ b/IMDB/01-Embedding-Keras.ipynb @@ -0,0 +1,619 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Text Embedding - IMDB dataset\n", + "=============================\n", + "---\n", + "Introduction au Deep Learning (IDLE) - S. Arias, E. Maldonado, JL. Parouty - CNRS/SARI/DEVLOG - 2020 \n", + "\n", + "## Text classification using **Text embedding** :\n", + "\n", + "The objective is to guess whether film reviews are **positive or negative** based on the analysis of the text. \n", + "\n", + "Original dataset can be find **[there](http://ai.stanford.edu/~amaas/data/sentiment/)** \n", + "Note that [IMDb.com](https://imdb.com) offers several easy-to-use [datasets](https://www.imdb.com/interfaces/) \n", + "For simplicity's sake, we'll use the dataset directly [embedded in Keras](https://www.tensorflow.org/api_docs/python/tf/keras/datasets)\n", + "\n", + "https://www.liip.ch/en/blog/sentiment-detection-with-keras-word-embeddings-and-lstm-deep-learning-networks\n", + "\n", + "What we're going to do:\n", + "\n", + " - Retrieve data\n", + " - Preparing the data\n", + " - Build a model\n", + " - Train the model\n", + " - Evaluate the result\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1/ Init python stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "IDLE 2020 - Practical Work Module\n", + " Version : 0.2\n", + " Run time : Friday 24 January 2020, 09:13:23\n", + " Matplotlib style : fidle/talk.mplstyle\n", + " TensorFlow version : 2.0.0\n", + " Keras version : 2.2.4-tf\n" + ] + } + ], + "source": [ + "import tensorflow as tf\n", + "import numpy as np\n", + "from tensorflow import keras\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "\n", + "import fidle.pwk as ooo\n", + "\n", + "ooo.init()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2/ Retrieve data\n", + "\n", + "**From Keras :**\n", + "This IMDb dataset can bet get directly from [Keras datasets](https://www.tensorflow.org/api_docs/python/tf/keras/datasets) \n", + "\n", + "Due to their nature, textual data can be somewhat complex.\n", + "\n", + "#### Data structure : \n", + "The dataset is composed of 2 parts: **reviews** and **opinions** (positive/negative), with a **dictionary**\n", + "\n", + " - dataset = (reviews, opinions)\n", + " - reviews = \\[ review_0, review_1, ...\\]\n", + " - review_i = [ int1, int2, ...] where int_i is the index of the word in the dictionary.\n", + " - opinions = \\[ int0, int1, ...\\] where int_j == 0 if opinion is negative or 1 if opinion is positive.\n", + " - dictionary = \\[ mot1:int1, mot2:int2, ... ]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.1/ Get dataset\n", + "For simplicity, we will use a pre-formatted dataset. \n", + "See : https://www.tensorflow.org/api_docs/python/tf/keras/datasets/imdb/load_data \n", + "\n", + "However, Keras offers some usefull tools for formatting textual data. \n", + "See : https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "imdb = keras.datasets.imdb\n", + "\n", + "# ----- Retrieve x,y\n", + "#\n", + "(x_train, y_train), (x_test, y_test) = imdb.load_data( num_words = 10000, \n", + " skip_top = 0,\n", + " maxlen = None,\n", + " seed = 42,\n", + " start_char = 1,\n", + " oov_char = 2,\n", + " index_from = 3, )" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " x_train : (25000,) y_train : (25000,)\n", + " x_test : (25000,) y_test : (25000,)\n", + "\n", + "Review example (x_train[12]) :\n", + "\n", + " [1, 14, 22, 1367, 53, 206, 159, 4, 636, 898, 74, 26, 11, 436, 363, 108, 7, 14, 432, 14, 22, 9, 1055, 34, 8599, 2, 5, 381, 3705, 4509, 14, 768, 47, 839, 25, 111, 1517, 2579, 1991, 438, 2663, 587, 4, 280, 725, 6, 58, 11, 2714, 201, 4, 206, 16, 702, 5, 5176, 19, 480, 5920, 157, 13, 64, 219, 4, 2, 11, 107, 665, 1212, 39, 4, 206, 4, 65, 410, 16, 565, 5, 24, 43, 343, 17, 5602, 8, 169, 101, 85, 206, 108, 8, 3008, 14, 25, 215, 168, 18, 6, 2579, 1991, 438, 2, 11, 129, 1609, 36, 26, 66, 290, 3303, 46, 5, 633, 115, 4363]\n" + ] + } + ], + "source": [ + "print(\" x_train : {} y_train : {}\".format(x_train.shape, y_train.shape))\n", + "print(\" x_test : {} y_test : {}\".format(x_test.shape, y_test.shape))\n", + "\n", + "print('\\nReview example (x_train[12]) :\\n\\n',x_train[12])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.2/ Have a look for humans (optional)\n", + "When we loaded the dataset, we asked for using \\<start\\> as 1, \\<unknown word\\> as 2 \n", + "So, we shifted the dataset by 3 with the parameter index_from=3" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "# ---- Retrieve dictionary {word:index}\n", + "\n", + "word_index = imdb.get_word_index()\n", + "\n", + "# ---- Shift the dictionary from +3\n", + "\n", + "word_index = {w:(i+3) for w,i in word_index.items()}\n", + "\n", + "# ---- Add <pad>, <start> and unknown tags\n", + "\n", + "word_index.update( {'<pad>':0, '<start>':1, '<unknown>':2} )\n", + "\n", + "# ---- Create a reverse dictionary : {index:word}\n", + "\n", + "index_word = {(index):word for word,index in word_index.items()} \n", + "\n", + "# ---- Add a nice function to transpose :\n", + "#\n", + "def dataset2text(review):\n", + " return ' '.join([index_word.get(i, '?') for i in review])" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Dictionary size : 88587\n", + "\n", + "Review example (x_train[12]) :\n", + "\n", + " [1, 14, 22, 1367, 53, 206, 159, 4, 636, 898, 74, 26, 11, 436, 363, 108, 7, 14, 432, 14, 22, 9, 1055, 34, 8599, 2, 5, 381, 3705, 4509, 14, 768, 47, 839, 25, 111, 1517, 2579, 1991, 438, 2663, 587, 4, 280, 725, 6, 58, 11, 2714, 201, 4, 206, 16, 702, 5, 5176, 19, 480, 5920, 157, 13, 64, 219, 4, 2, 11, 107, 665, 1212, 39, 4, 206, 4, 65, 410, 16, 565, 5, 24, 43, 343, 17, 5602, 8, 169, 101, 85, 206, 108, 8, 3008, 14, 25, 215, 168, 18, 6, 2579, 1991, 438, 2, 11, 129, 1609, 36, 26, 66, 290, 3303, 46, 5, 633, 115, 4363]\n", + "\n", + "In real words :\n", + "\n", + " <start> this film contains more action before the opening credits than are in entire hollywood films of this sort this film is produced by tsui <unknown> and stars jet li this team has brought you many worthy hong kong cinema productions including the once upon a time in china series the action was fast and furious with amazing wire work i only saw the <unknown> in two shots aside from the action the story itself was strong and not just used as filler to find any other action films to rival this you must look for a hong kong cinema <unknown> in your area they are really worth checking out and usually never disappoint\n" + ] + } + ], + "source": [ + "print('\\nDictionary size : ', len(word_index))\n", + "print('\\nReview example (x_train[12]) :\\n\\n',x_train[12])\n", + "print('\\nIn real words :\\n\\n', dataset2text(x_train[12]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3/ Have a look for neurons" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 864x432 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "fig.set_size_inches(12,6)\n", + "ax.hist([len(i) for i in x_train],80 )\n", + "ax.set_title('Distribution of reviews by size')\n", + "ax.set_xlim(left=0,right=1500)\n", + "ax.set_xlabel(\"Review's size\")\n", + "ax.set_ylabel(\"Review's count\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 3 - Preprocess the data\n", + "In order to be processed by an NN, all entries must have the same length. \n", + "We chose a maxlength of **max_len** \n", + "We will therefore complete them with a padding (of \\<pad\\>\\) " + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Review example (x_train[12]) :\n", + "\n", + " [ 1 14 22 1367 53 206 159 4 636 898 74 26 11 436\n", + " 363 108 7 14 432 14 22 9 1055 34 8599 2 5 381\n", + " 3705 4509 14 768 47 839 25 111 1517 2579 1991 438 2663 587\n", + " 4 280 725 6 58 11 2714 201 4 206 16 702 5 5176\n", + " 19 480 5920 157 13 64 219 4 2 11 107 665 1212 39\n", + " 4 206 4 65 410 16 565 5 24 43 343 17 5602 8\n", + " 169 101 85 206 108 8 3008 14 25 215 168 18 6 2579\n", + " 1991 438 2 11 129 1609 36 26 66 290 3303 46 5 633\n", + " 115 4363 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 0 0 0 0]\n", + "\n", + "In real words :\n", + "\n", + " <start> this film contains more action before the opening credits than are in entire hollywood films of this sort this film is produced by tsui <unknown> and stars jet li this team has brought you many worthy hong kong cinema productions including the once upon a time in china series the action was fast and furious with amazing wire work i only saw the <unknown> in two shots aside from the action the story itself was strong and not just used as filler to find any other action films to rival this you must look for a hong kong cinema <unknown> in your area they are really worth checking out and usually never disappoint <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad> <pad>\n" + ] + } + ], + "source": [ + "max_len = 256\n", + "\n", + "x_train = keras.preprocessing.sequence.pad_sequences(x_train,\n", + " value = 0,\n", + " padding = 'post',\n", + " maxlen = max_len)\n", + "\n", + "x_test = keras.preprocessing.sequence.pad_sequences(x_valid,\n", + " value = 0 ,\n", + " padding = 'post',\n", + " maxlen = max_len)\n", + "\n", + "print('\\nReview example (x_train[12]) :\\n\\n',x_train[12])\n", + "print('\\nIn real words :\\n\\n', dataset2text(x_train[12]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 4 - Building the model\n", + "Few remarks :\n", + "1. GlobalAveragePooling1D : Fait un pooling sur la seconde dimension (batch_size, steps, features) -> (batch_size, features) \n", + "Autrement dit : on moyenne l'ensemble des mots d'une phrase\n", + "2. L'embedding de Keras fonctionne de manière supervisée. Il s'agit d'une couche de *vocab_size* neurones vers *n_neurons* permettant de maintenir une table de vecteurs (les poids constituent les vecteurs). Cette couche ne calcule pas de sortie a la façon des couches normales, mais renvois la valeur des vecteurs. n mots => n vecteurs (ensuite empilés par le pooling) \n", + "Voir : https://stats.stackexchange.com/questions/324992/how-the-embedding-layer-is-trained-in-keras-embedding-layer" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "embedding (Embedding) (None, 256, 32) 320000 \n", + "_________________________________________________________________\n", + "global_average_pooling1d (Gl (None, 32) 0 \n", + "_________________________________________________________________\n", + "dense (Dense) (None, 32) 1056 \n", + "_________________________________________________________________\n", + "dense_1 (Dense) (None, 1) 33 \n", + "=================================================================\n", + "Total params: 321,089\n", + "Trainable params: 321,089\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "\n", + "vocab_size = 10000\n", + "n_neurons = 32 # 200 pour voir overfiting\n", + "\n", + "keras.backend.clear_session()\n", + "\n", + "model = keras.Sequential()\n", + "model.add(keras.layers.Embedding(vocab_size, n_neurons, input_length=256))\n", + "model.add(keras.layers.GlobalAveragePooling1D())\n", + "model.add(keras.layers.Dense(n_neurons, activation=tf.nn.relu))\n", + "model.add(keras.layers.Dense(1, activation=tf.nn.sigmoid))\n", + "\n", + "model.summary()\n", + "\n", + "model.compile(optimizer='adam',\n", + " loss='binary_crossentropy',\n", + " metrics=['accuracy'])\n", + "\n", + "callbacks=[]\n", + "callbacks.append( keras.callbacks.ModelCheckpoint(ooo.get_check_dir()+'/model{epoch:02d}-{val_acc:.3f}.h5') )\n", + "callbacks.append( keras.callbacks.ModelCheckpoint(ooo.get_model_dir()+'/best_model.h5', save_best_only=True) )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Entrainement" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train on 25000 samples, validate on 25000 samples\n", + "Epoch 1/30\n", + "25000/25000 [==============================] - 1s 60us/sample - loss: 0.6882 - acc: 0.6171 - val_loss: 0.6787 - val_acc: 0.6901\n", + "Epoch 2/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.6512 - acc: 0.7332 - val_loss: 0.6168 - val_acc: 0.7786\n", + "Epoch 3/30\n", + "25000/25000 [==============================] - 1s 51us/sample - loss: 0.5554 - acc: 0.8075 - val_loss: 0.5076 - val_acc: 0.8237\n", + "Epoch 4/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.4378 - acc: 0.8525 - val_loss: 0.4123 - val_acc: 0.8485\n", + "Epoch 5/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.3519 - acc: 0.8786 - val_loss: 0.3565 - val_acc: 0.8620\n", + "Epoch 6/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.2993 - acc: 0.8922 - val_loss: 0.3269 - val_acc: 0.8690\n", + "Epoch 7/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.2654 - acc: 0.9026 - val_loss: 0.3090 - val_acc: 0.8749\n", + "Epoch 8/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.2401 - acc: 0.9123 - val_loss: 0.2997 - val_acc: 0.8769\n", + "Epoch 9/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.2201 - acc: 0.9212 - val_loss: 0.2912 - val_acc: 0.8803\n", + "Epoch 10/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.2027 - acc: 0.9272 - val_loss: 0.2880 - val_acc: 0.8826\n", + "Epoch 11/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.1886 - acc: 0.9330 - val_loss: 0.2868 - val_acc: 0.8816\n", + "Epoch 12/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.1763 - acc: 0.9377 - val_loss: 0.2878 - val_acc: 0.8825\n", + "Epoch 13/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1656 - acc: 0.9428 - val_loss: 0.2903 - val_acc: 0.8816\n", + "Epoch 14/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1560 - acc: 0.9474 - val_loss: 0.2935 - val_acc: 0.8826\n", + "Epoch 15/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1469 - acc: 0.9507 - val_loss: 0.2976 - val_acc: 0.8808\n", + "Epoch 16/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1387 - acc: 0.9537 - val_loss: 0.3032 - val_acc: 0.8813\n", + "Epoch 17/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1316 - acc: 0.9575 - val_loss: 0.3092 - val_acc: 0.8790\n", + "Epoch 18/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1248 - acc: 0.9595 - val_loss: 0.3190 - val_acc: 0.8749\n", + "Epoch 19/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1186 - acc: 0.9623 - val_loss: 0.3224 - val_acc: 0.8767\n", + "Epoch 20/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.1120 - acc: 0.9651 - val_loss: 0.3299 - val_acc: 0.8758\n", + "Epoch 21/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.1075 - acc: 0.9663 - val_loss: 0.3381 - val_acc: 0.8756\n", + "Epoch 22/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.1016 - acc: 0.9690 - val_loss: 0.3473 - val_acc: 0.8744\n", + "Epoch 23/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.0966 - acc: 0.9718 - val_loss: 0.3602 - val_acc: 0.8706\n", + "Epoch 24/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.0923 - acc: 0.9736 - val_loss: 0.3655 - val_acc: 0.8712\n", + "Epoch 25/30\n", + "25000/25000 [==============================] - 1s 50us/sample - loss: 0.0872 - acc: 0.9756 - val_loss: 0.3773 - val_acc: 0.8683\n", + "Epoch 26/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.0836 - acc: 0.9776 - val_loss: 0.3853 - val_acc: 0.8688\n", + "Epoch 27/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.0791 - acc: 0.9797 - val_loss: 0.3969 - val_acc: 0.8666\n", + "Epoch 28/30\n", + "25000/25000 [==============================] - 1s 49us/sample - loss: 0.0758 - acc: 0.9806 - val_loss: 0.4066 - val_acc: 0.8658\n", + "Epoch 29/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.0721 - acc: 0.9814 - val_loss: 0.4177 - val_acc: 0.8642\n", + "Epoch 30/30\n", + "25000/25000 [==============================] - 1s 48us/sample - loss: 0.0685 - acc: 0.9834 - val_loss: 0.4281 - val_acc: 0.8635\n", + "CPU times: user 51.5 s, sys: 2.2 s, total: 53.7 s\n", + "Wall time: 37.1 s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "n_epochs = 30\n", + "batch_size = 512\n", + "\n", + "history = model.fit(x_train,\n", + " y_train,\n", + " epochs=n_epochs,\n", + " batch_size=batch_size,\n", + " validation_data=(x_valid, y_valid),\n", + " verbose=1,\n", + " callbacks=callbacks)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evalulation du modèle" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Load best model... Done.\n", + "\n", + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "embedding (Embedding) (None, 256, 32) 320000 \n", + "_________________________________________________________________\n", + "global_average_pooling1d (Gl (None, 32) 0 \n", + "_________________________________________________________________\n", + "dense (Dense) (None, 32) 1056 \n", + "_________________________________________________________________\n", + "dense_1 (Dense) (None, 1) 33 \n", + "=================================================================\n", + "Total params: 321,089\n", + "Trainable params: 321,089\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "25000/25000 [==============================] - 1s 20us/sample - loss: 0.2868 - acc: 0.8816\n" + ] + }, + { + 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\n", + "text/plain": [ + "<Figure size 576x576 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1728x576 with 2 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "print('Load best model... ', end='')\n", + "model = keras.models.load_model(ooo.get_model_dir()+'/best_model.h5')\n", + "print('Done.\\n')\n", + "\n", + "print(model.summary())\n", + "# ------ Evaluation du résultat ------------------------------------\n", + "\n", + "results = model.evaluate(x_valid, y_valid)\n", + "accuracy = results[1]\n", + "\n", + "fig, axs = plt.subplots()\n", + "fig.set_size_inches(8,8)\n", + "axs.pie([accuracy,1-accuracy], explode=[0,0.1], labels=[\"\",\"Errors\"], \n", + " autopct='%1.1f%%', shadow=False, startangle=70, \n", + " colors=[\"lightsteelblue\",\"coral\"], textprops={'fontsize': 18})\n", + "ooo.save_fig('accuracy')\n", + "plt.show()\n", + "\n", + "\n", + "# ------ Statistiques d'apprentissage -------------------------------\n", + "\n", + "acc = history.history['acc']\n", + "val_acc = history.history['val_acc']\n", + "loss = history.history['loss']\n", + "val_loss = history.history['val_loss']\n", + "x_epochs = range(1, len(acc) + 1)\n", + "\n", + "fig, (ax1,ax2) = plt.subplots(1,2)\n", + "fig.set_size_inches(24,8)\n", + "ax1.plot(x_epochs, loss, 'o', fillstyle='full', markersize=6, color='steelblue', label='Training loss')\n", + "ax1.plot(x_epochs, val_loss, '-', fillstyle='none', markersize=6, color='red', label='Validation loss')\n", + "ax1.axhline(y=results[0], linestyle='--', linewidth=1, color='grey', label='Final test loss({:5.3})'.format(results[0]))\n", + "ax1.set_title('Training and validation loss')\n", + "ax1.set_xlabel('Epochs')\n", + "ax1.set_ylabel('Loss')\n", + "ax1.legend()\n", + "\n", + "ax2.plot(x_epochs, acc, 'o', fillstyle='full', markersize=6, color='steelblue', label='Training accuracy')\n", + "ax2.plot(x_epochs, val_acc, '-', fillstyle='none', markersize=6, color='red', label='Validation accuracy')\n", + "ax2.axhline(y=results[1], linestyle='--', linewidth=1, color='grey', label='Final test accuracy ({:5.3})'.format(results[1]))\n", + "ax2.set_title('Training and validation accuracy')\n", + "ax2.set_xlabel('Epochs')\n", + "ax2.set_ylabel('Accuracy')\n", + "ax2.legend()\n", + "\n", + "ooo.save_fig(\"Evaluations\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/IMDB/fidle/__init__.py b/IMDB/fidle/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..098c126cc59c579c3cc9a4fd398f3899b823d0d8 --- /dev/null +++ b/IMDB/fidle/__init__.py @@ -0,0 +1,2 @@ + +VERSION='0.1a' \ No newline at end of file diff --git a/IMDB/fidle/pwk.py b/IMDB/fidle/pwk.py new file mode 100644 index 0000000000000000000000000000000000000000..fd7bc208cc25b092430d6b75439e341c253fd702 --- /dev/null +++ b/IMDB/fidle/pwk.py @@ -0,0 +1,217 @@ + +# ================================================================== +# ____ _ _ _ __ __ _ +# | _ \ _ __ __ _ ___| |_(_) ___ __ _| | \ \ / /__ _ __| | __ +# | |_) | '__/ _` |/ __| __| |/ __/ _` | | \ \ /\ / / _ \| '__| |/ / +# | __/| | | (_| | (__| |_| | (_| (_| | | \ V V / (_) | | | < +# |_| |_| \__,_|\___|\__|_|\___\__,_|_| \_/\_/ \___/|_| |_|\_\ +# module pwk +# ================================================================== +# A simple module to host some common functions for practical work +# pjluc 2020 + +import os +import glob +from datetime import datetime +import itertools +import datetime, time + +import math +import numpy as np + +import tensorflow as tf +from tensorflow import keras + +import matplotlib +import matplotlib.pyplot as plt +import seaborn as sn + +VERSION='0.2' + + +# ------------------------------------------------------------- +# init_all +# ------------------------------------------------------------- +# +def init(mplstyle='fidle/talk.mplstyle'): + global VERSION + # ---- matplotlib + matplotlib.style.use(mplstyle) + # ---- Hello world +# now = datetime.datetime.now() + print('IDLE 2020 - Practical Work Module') + print(' Version :', VERSION) + print(' Run time : {}'.format(time.strftime("%A %-d %B %Y, %H:%M:%S"))) + print(' Matplotlib style :', mplstyle) + print(' TensorFlow version :',tf.__version__) + print(' Keras version :',tf.keras.__version__) + +# ------------------------------------------------------------- +# Folder cooking +# ------------------------------------------------------------- +# +def tag_now(): + return datetime.datetime.now().strftime("%Y-%m-%d_%Hh%Mm%Ss") + +def mkdir(path): + os.makedirs(path, mode=0o750, exist_ok=True) + +def get_directory_size(path): + """ + Return the directory size, but only 1 level + args: + path : directory path + return: + size in Mo + """ + size=0 + for f in os.listdir(path): + if os.path.isfile(path+'/'+f): + size+=os.path.getsize(path+'/'+f) + return size/(1024*1024) + +# ------------------------------------------------------------- +# shuffle_dataset +# ------------------------------------------------------------- +# +def shuffle_np_dataset(x, y): + assert (len(x) == len(y)), "x and y must have same size" + p = np.random.permutation(len(x)) + return x[p], y[p] + + +def update_progress(what,i,imax): + bar_length = min(40,imax) + if (i%int(imax/bar_length))!=0 and i<imax: + return + progress = float(i/imax) + block = int(round(bar_length * progress)) + endofline = '\r' if progress<1 else '\n' + text = "{:16s} [{}] {:>5.1f}% of {}".format( what, "#"*block+"-"*(bar_length-block), progress*100, imax) + print(text, end=endofline) + + +# ------------------------------------------------------------- +# show_images +# ------------------------------------------------------------- +# +def plot_images(x,y, indices, columns=12, x_size=1, y_size=1, colorbar=False, y_pred=None, cm='binary'): + """ + Show some images in a grid, with legends + args: + X: images - Shapes must be (-1 lx,ly,1) or (-1 lx,ly,3) + y: real classes + indices: indices of images to show + columns: number of columns (12) + x_size,y_size: figure size + colorbar: show colorbar (False) + y_pred: predicted classes (None) + cm: Matplotlib olor map + returns: + nothing + """ + rows = math.ceil(len(indices)/columns) + fig=plt.figure(figsize=(columns*x_size, rows*(y_size+0.35))) + n=1 + errors=0 + if np.any(y_pred)==None: + y_pred=y + for i in indices: + axs=fig.add_subplot(rows, columns, n) + n+=1 + # ---- Shape is (lx,ly) + if len(x[i].shape)==2: + xx=x[i] + # ---- Shape is (lx,ly,n) + if len(x[i].shape)==3: + (lx,ly,lz)=x[i].shape + if lz==1: + xx=x[i].reshape(lx,ly) + else: + xx=x[i] + img=axs.imshow(xx, cmap = cm, interpolation='lanczos') + axs.spines['right'].set_visible(True) + axs.spines['left'].set_visible(True) + axs.spines['top'].set_visible(True) + axs.spines['bottom'].set_visible(True) + axs.set_yticks([]) + axs.set_xticks([]) + if y[i]!=y_pred[i]: + axs.set_xlabel('{} ({})'.format(y_pred[i],y[i])) + axs.xaxis.label.set_color('red') + errors+=1 + else: + axs.set_xlabel(y[i]) + if colorbar: + fig.colorbar(img,orientation="vertical", shrink=0.65) + plt.show() + +def plot_image(x,cm='binary', figsize=(4,4)): + (lx,ly,lz)=x.shape + plt.figure(figsize=figsize) + if lz==1: + plt.imshow(x.reshape(lx,ly), cmap = cm, interpolation='lanczos') + else: + plt.imshow(x.reshape(lx,ly,lz),cmap = cm, interpolation='lanczos') + plt.show() + + +# ------------------------------------------------------------- +# show_history +# ------------------------------------------------------------- +# +def plot_history(history, figsize=(8,6), + plot={"Accuracy":['accuracy','val_accuracy'], 'Loss':['loss', 'val_loss']}): + """ + Show history + args: + history: history + figsize: fig size + plot: list of data to plot : {<title>:[<metrics>,...], ...} + """ + for title,curves in plot.items(): + plt.figure(figsize=figsize) + plt.title(title) + plt.ylabel(title) + plt.xlabel('Epoch') + for c in curves: + plt.plot(history.history[c]) + plt.legend(curves, loc='upper left') + plt.show() + + + +# ------------------------------------------------------------- +# plot_confusion_matrix +# ------------------------------------------------------------- +# +def plot_confusion_matrix(cm, + title='Confusion matrix', + figsize=(12,8), + cmap="gist_heat_r", + vmin=0, + vmax=1, + xticks=5,yticks=5): + """ + given a sklearn confusion matrix (cm), make a nice plot + + Args: + cm: confusion matrix from sklearn.metrics.confusion_matrix + title: the text to display at the top of the matrix + figsize: Figure size (12,8) + cmap: color map (gist_heat_r) + vmi,vmax: Min/max 0 and 1 + + """ + + accuracy = np.trace(cm) / float(np.sum(cm)) + misclass = 1 - accuracy + + plt.figure(figsize=figsize) + sn.heatmap(cm, linewidths=1, linecolor="#ffffff",square=True, + cmap=cmap, xticklabels=xticks, yticklabels=yticks, + vmin=vmin,vmax=vmax) + plt.ylabel('True label') + plt.xlabel('Predicted label\naccuracy={:0.4f}; misclass={:0.4f}'.format(accuracy, misclass)) + + plt.show() diff --git a/IMDB/fidle/talk.mplstyle b/IMDB/fidle/talk.mplstyle new file mode 100644 index 0000000000000000000000000000000000000000..edf3fed3a5f6f7c0a1b76a4195f74ea9d68aa966 --- /dev/null +++ b/IMDB/fidle/talk.mplstyle @@ -0,0 +1,33 @@ + +# See : https://matplotlib.org/users/customizing.html + +axes.titlesize : 24 +axes.labelsize : 20 +axes.edgecolor : dimgrey +axes.labelcolor : dimgrey +axes.linewidth : 2 +axes.grid : False + +axes.prop_cycle : cycler('color', ['steelblue', 'tomato', '2ca02c', 'd62728', '9467bd', '8c564b', 'e377c2', '7f7f7f', 'bcbd22', '17becf']) + +lines.linewidth : 3 +lines.markersize : 10 + +xtick.color : black +xtick.labelsize : 18 +ytick.color : black +ytick.labelsize : 18 + +axes.spines.left : True +axes.spines.bottom : True +axes.spines.top : False +axes.spines.right : False + +savefig.dpi : 300 # figure dots per inch or 'figure' +savefig.facecolor : white # figure facecolor when saving +savefig.edgecolor : white # figure edgecolor when saving +savefig.format : svg +savefig.bbox : tight +savefig.pad_inches : 0.1 +savefig.transparent : True +savefig.jpeg_quality: 95 diff --git a/MNIST/01-DNN-MNIST.ipynb b/MNIST/01-DNN-MNIST.ipynb index cf30ece75bdac062d8e99b6c0b778cc85fc9c279..7f595c6c6122cc4ac3ade32b3dba135998df080c 100644 --- a/MNIST/01-DNN-MNIST.ipynb +++ b/MNIST/01-DNN-MNIST.ipynb @@ -28,22 +28,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "IDLE 2020 - Practical Work Module\n", - " Version : 0.1.7\n", - " Run time : Wednesday 22 January 2020, 21:57:32\n", - " Matplotlib style : fidle/talk.mplstyle\n", - " TensorFlow version : 2.0.0\n", - " Keras version : 2.2.4-tf\n" - ] - } - ], + "outputs": [], "source": [ "import tensorflow as tf\n", "from tensorflow import keras\n", @@ -68,20 +55,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train : (60000, 28, 28)\n", - "y_train : (60000,)\n", - "x_test : (10000, 28, 28)\n", - "y_test : (10000,)\n" - ] - } - ], + "outputs": [], "source": [ "(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n", "\n", @@ -100,18 +76,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Before normalization : Min=0, max=255\n", - "After normalization : Min=0.0, max=1.0\n" - ] - } - ], + "outputs": [], "source": [ "print('Before normalization : Min={}, max={}'.format(x_train.min(),x_train.max()))\n", "\n", @@ -130,32 +97,9 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 4320x385.2 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 864x291.6 with 36 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ooo.plot_images(x_train, y_train, [27], x_size=5,y_size=5, colorbar=True)\n", "ooo.plot_images(x_train, y_train, range(5,41), columns=12)" @@ -174,7 +118,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -202,49 +146,9 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 60000 samples, validate on 10000 samples\n", - "Epoch 1/16\n", - "60000/60000 [==============================] - 1s 16us/sample - loss: 0.5787 - accuracy: 0.8446 - val_loss: 0.2443 - val_accuracy: 0.9288\n", - "Epoch 2/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.2111 - accuracy: 0.9398 - val_loss: 0.1808 - val_accuracy: 0.9476\n", - "Epoch 3/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.1602 - accuracy: 0.9535 - val_loss: 0.1487 - val_accuracy: 0.9573\n", - "Epoch 4/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.1262 - accuracy: 0.9636 - val_loss: 0.1254 - val_accuracy: 0.9630\n", - "Epoch 5/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.1065 - accuracy: 0.9691 - val_loss: 0.1116 - val_accuracy: 0.9661\n", - "Epoch 6/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0894 - accuracy: 0.9741 - val_loss: 0.1034 - val_accuracy: 0.9689\n", - "Epoch 7/16\n", - "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0778 - accuracy: 0.9771 - val_loss: 0.0937 - val_accuracy: 0.9707\n", - "Epoch 8/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0658 - accuracy: 0.9805 - val_loss: 0.0879 - val_accuracy: 0.9720\n", - "Epoch 9/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0602 - accuracy: 0.9825 - val_loss: 0.0842 - val_accuracy: 0.9745\n", - "Epoch 10/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0513 - accuracy: 0.9848 - val_loss: 0.0801 - val_accuracy: 0.9741\n", - "Epoch 11/16\n", - "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0446 - accuracy: 0.9869 - val_loss: 0.0822 - val_accuracy: 0.9742\n", - "Epoch 12/16\n", - "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0406 - accuracy: 0.9883 - val_loss: 0.0843 - val_accuracy: 0.9743\n", - "Epoch 13/16\n", - "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0359 - accuracy: 0.9902 - val_loss: 0.0797 - val_accuracy: 0.9749\n", - "Epoch 14/16\n", - "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0329 - accuracy: 0.9908 - val_loss: 0.0800 - val_accuracy: 0.9753\n", - "Epoch 15/16\n", - "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0295 - accuracy: 0.9916 - val_loss: 0.0760 - val_accuracy: 0.9767\n", - "Epoch 16/16\n", - "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0249 - accuracy: 0.9932 - val_loss: 0.0751 - val_accuracy: 0.9777\n" - ] - } - ], + "outputs": [], "source": [ "batch_size = 512\n", "epochs = 16\n", @@ -266,18 +170,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Test loss : 0.07514886270555435\n", - "Test accuracy : 0.9777\n" - ] - } - ], + "outputs": [], "source": [ "score = model.evaluate(x_test, y_test, verbose=0)\n", "\n", @@ -294,34 +189,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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Rj37EsmXL2LdvH0888QQAzc3N1NfX861vfYsbbriBVatWjSWXIiJpU3CZhO6//342bNjAiSeeCEBXVxeLFy/m3HPPZdOmTVx22WW87nWv4zWveU2Bcyoi05WCyyTknOO9730vV1999UHn/v73v/OrX/2K66+/np/+9KfccsstBcihiEx3Ci7pGqXqqr2rj8YDHQBUlpewqKE6b1k555xzOP/887nsssuYNWsWTU1NdHR0UFFRQSgU4oILLmDp0qVccsklANTU1NDW1pa3/IiIJFJwyZHxnHr/2GOP5XOf+xznnHMO0WiU0tJSbr75ZoqLi3nf+9432Fvtq1/9KgAXXXQRF198sRr0RWTcaMp9xjblfkzUObbuagX8z3P5vDqKivLbYywfNOW+iGRIU+7nU5HZ8PEuA5pjTESmLwWXHBo2O7KmgRGRaUzBZRSZVBsmjtSfbFRFKiK5ouAyglAoRFNTU9ofupM5uDjnaGpqIhQKFTorIjIFqLfYCBYtWsSOHTvYu3dvWtf39UfZ394DQGmx0VwzuT6oQ6EQixYtKnQ2RGQKUHAZQWlpKUuXLk37+pbOXj7+9fsAKC8t5mf/91yKcjCBpYjIZKNqsRyqqyyjtqIUgJ6+Afa1dhc4RyIihaHgkmPxI/O3N7UXMCciIoWj4JJji2dVDb7esU/BRUSmJwWXHFs8rOTSUcCciIgUjoJLjqlaTEREwSXnhlWLqeQiItOUgkuOzauvpDiYsHJfazedPf0FzpGIyPhTcMmxkuIiFsyoHDzeuV+lFxGZfhRc8mBYu4t6jInINKTgkgeLZ6lRX0SmNwWXPFCjvohMdwoueaBqMRGZ7hRc8mBRw1DJZef+DqJaJ0VEphkFlzyorSijrrIM8Ou67GnpKnCORETGl4JLngxr1FfVmIhMMwouebK4QY36IjJ9KbjkieYYE5HpTMElT9QdWUSmMwWXPFF3ZBGZzhRc8mRefQWlxf7Hu7+9h46evgLnSERk/Ci45ElxURELZg5NYKmqMRGZThRc8khVYyIyXSm45JG6I4vIdKXgkkcquYjIdKXgkkeael9EpisFlzyKrxZr3N/JQFQTWIrI9KDgkkdVoVJmVpcD0DcQZXdzZ4FzJCIyPhRc8myRGvVFZBpScMkzzTEmItNRwYOLmRWZ2RVm9oyZdZvZdjP7uplVjX73Qc+qNLPnzcyZ2Q35yG+m4hv1VXIRkemi4MEFuBb4BvAP4EPAj4EPA/eaWab5+wIwK7fZG5v4Rn11RxaR6aKkkP+4ma3EB5S7nXNvjkt/HrgeeBvwgzSftRq4HPgE8PXc5zY7i1UtJiLTUKFLLm8HDLguIf1WoBO4MJ2HmFlxcM+vgbtzmcGxml1XQVmJ/zE3d/TS1qUJLEVk6it0cDkJiALr4xOdc93AxuB8Oq4AjgQuzWnucqC4yFg4M77HmEovIjL1FTq4LAD2Oed6kpzbCcwys7KRHmBmS4HPA19wzm3L5B83szVm9lgm92QjvseYGvVFZDoodHCpBJIFFoDuuGtGchPwPL5TQEacc7c4507M9L5MqVFfRKabgjbo49tV5qQ4F4q7JikzuxB4DXCGc27CNmZojjERmW4KXXJpxFd9lSc5txBfZdab7Mbgnm8AvwReMrPlZrYcODS4pC5Iq89HxjOhsS4iMt0UOrhsCPLw8vhEMwsBq4CR2kMqgNnA64Etcdu64PyFwfHFOc1xFuIb9Bv3dzAQjRYwNyIi+VfoarE7gU/hx6f8KS79/fi2lu/HEsxsGVDqnHsmSOoALkjyzNlABN8t+X+Av+c+25mpLC9hVk2IfW3d9EcdLx3oYmFDxhMQiIhMGgUNLs65J8zsRuBSM7sbX8V1FH6E/gMMH0D5O3yVlwX39gE/SXymmS0JXj7rnDvofKEsaqhiX5vvo7C9qV3BRUSmtEJXi4EvtXwMWAnciB+V/y3gDc65KVN/NKxRXz3GRGSKK3S1GM65Afx0LSNO2eKcW5Lm87YRlG4mksWael9EppGJUHKZFjT1vohMJwou40TdkUVkOlFwGSezakOUBxNYtnT20tKZdPiOiMiUoOAyTorMEuYYU9WYiExdCi7jSFVjIjJdKLiMo0WawFJEpgkFl3E0fFVKlVxEZOpScBlH8SWXHSq5iMgUltPgEg6HZ4TDYc1rkkJ8cNnV3En/wJSZgEBEZJiMg0s4HH5VOBz+WjgcnhGXNiccDj8A7AP2h8PhjBfumg5CZSXMqasAYCDqaDyQcqkaEZFJLZuSy4eAf41EIgfi0v4TeCWwFWgCLguHw2/JQf6mHFWNich0kE1wOR54MHYQDocrgPOB+yKRyBHAEcB24JKc5HCKUaO+iEwH2QSXOfgVJGNOxi9JfDtAJBJpA36ODzKSYFh3ZA2kFJEpKpvg0oNfBTLmlYAD/hiX1grMHEO+pqzhAykVXERkasomuDwP/FPc8ZuBLZFIZGdc2mJ8474kGD6QsgPnXAFzIyKSH9ms5/Id4LpwOPwo0AscC3w+4ZrVwKYx5m1KmlUTIlRaTHffAO3dfbR09lJfVV7obImI5FQ2JZebgB8BJwKn4dtXvho7GQ6HX45fqnhdDvI35ZjZ8FUp1agvIlNQxiWXSCTSB7wjHA5fArigAT/ec8DLgG1jz97UtKihii27WgA/x9ixh6h5SkSmlqyXOY5EIq0p0veh9pYRLdbU+yIyxWUcXIKR+fOBZyORSE9c+kXAm4AO4LpIJLI+Z7mcYoZ3R1a1mIhMPdm0uXwZeDT+3nA4/CHgv4HzgLcB68Lh8NE5yeEUNKzNRaP0RWQKyia4nAb8LhKJdMWlfQzYCZwBxKZ9+cgY8zZlLZxZhQWvdzd30ts/UND8iIjkWjbBZSF+rAsAQQllMfCtSCTyYCQS+QlwLz7QSBLlpcXMqffjUKMOGvdrAksRmVqyCS4VQHfc8Wn4Efr3x6U9iw9CkoIa9UVkKssmuOwEjow7Phc/3cvf4tJmAPHVZpJAjfoiMpVl0xX5D8C7w+HwpfgSzP8BfhqJROJXvlqOnxlZUlCjvohMZdmUXL4CtAPfBG7BB5i1sZPhcHgOcCbwUA7yN2UNrxZTyUVEppaMg0skEnkeWAlcBnwYOCYSicTPI3YocCPBFPySXOLU+5rAUkSmkqxG6EcikZeAG1Kc2wBsGEumpoOZ1eVUlpfQ2dNPZ08/Bzp6mFkdKnS2RERyIuvpXwDC4XApvnG/HmgBng7mHpNRmBmLGqrY3BibY6xDwUVEpoysgks4HK4Fvga8E78KZUx3OBy+A7gyEok05yB/U9rihurB4LKjqZ3jlzQUOEciIrmRcZtLEFj+DKwB+oE/AXcF+74g/cHgOhmBpt4Xkakqm5LLJ/EN+jcBn44voYTD4Trgi8AHg+s+mYtMTlXDV6VUd2QRmTqyCS7/CjwSiUQ+mHgiEom0AB8Kh8Or8csfK7iMQKP0RWSqymacyyGMvsrkA/j5xmQEC2ZWUhTMYLm7uYuePk1gKSJTQzbBpROYM8o1s4PrZARlJcXMra8E/ORsjfvV7iIiU0M2wWUDcEE4HD482clwOLwMP+2+xrqkYbHmGBORKSibNpf/AH4LbAiHw9/CzzW2C5gHnAV8CKgG/jNHeZzSFs2qZv3WvYAa9UVk6shm+pffAWH8+JZPAfcBT+Kn3P8sUAVcGolE7k/5EBmkRn0RmYqyqRYjEon8F7ACuAq4B/h9sP8ssCISidyUsxxOcaoWE5GpKOvpXyKRyIvAl5KdC4fDIaAsEom0Zvv86SJ+IOWOYAJLMxvhDhGRiS+rkksabgL25+nZU0pdZRnVIR/ju3oHaGrrKXCORETGLl/BBUBfv9NgZsPaXbar3UVEpoB8BhdJ06JZatQXkalFwWWs9r4Ee3eN6RHDGvX3qVFfRCY/BZexeHErXHMFXPtpaMt+hQF1RxaRqUbBJVs93XDtZ6DlAOxphG9eBd1dWT1qkboji8gUo+CSrfIQvPNDYMGPcNtmuPnL0N+f8aPmz6yiKOh+vKeli+7ezJ8hIjKRpDXOJRwOa7reZFafBu8Iw/dv8MdPboDvfhMu+ghkMFaltLiIBTMq2RFMXLlzfwfL5tXlI8ciIuMi3ZKLZbFND2e/Ad7w9qHjh+6Dn30n48csUqO+iEwhaZVcIpGIqs9G8sZ3QXMTPPhbf/yLH0F9A5x9XtqPWDyrmke27AHUqC8ik5+CRi6YwYUfhmNPGkr7QQQefzDtR6hRX0SmEgWXXCkpgUs+DUuP8MfOwa1fhc1PpnV74hxjIiKTmYJLLpWH4MOfh7kL/XF/H9ywFnZuG/XW4VPAdBB1Lj95FBEZBwouuVZTD5d/EWpn+OPOdrjuM7B/74i31VaWUVtRCkBP3wD7WrvznVMRkbxRcMmH2fPh8quhvMIfH9jnA0xH24i3xVeNaQJLEZnMFFzy5ZDlEP4sFBf748YX4MYvQF9vylviG/V3aMljEZnECh5czKzIzK4ws2fMrNvMtpvZ182sKo17V5jZF8zsETPba2ZtZrbRzD6dzv15t3I1XPTRoePNT8B/fw2iycekxre7bN7Vku/ciYjkTcGDC3At8A3gH8CHgB8DHwbuNbPR8vde4ArgWeALwMeBTcAXgYfMrCJfmU7bKf8EF1w8dPz4g/DDm31vsgRL5tQMvr7/7zv59u+fwalhX0QmoayXOc4FM1uJDyh3O+feHJf+PHA98DbgByM84ifAV5xz8V/zbzazLcCngfcBN+Q845l6zZvhQBPcf48//sO9MKMBXve2YZetPmw2KxfP4KntBwD40Z+fZX97D5e9/lhKiifC9wARkfQU+hPr7fipYq5LSL8V6AQuHOlm59xjCYEl5s5gf8yYc5gLZvCW98NJZw6l3X07/Pm+YZcVFxlffsfLefny2YNpv/3bDtbe9ZgmsxSRSaXQweUkIAqsj090znUDG4Pz2VgU7Hdnn7UcKyqC934Ujjx+KO0718KTjw27LFRWwufeciKvOX7RYNqGrXv5xB2P0tzRM165FREZk0IHlwXAPudcsk/NncAsMyvL5IFmVgxcBfQzcpUaZrbGzB4b6ZqcKi2D8FWwaKk/jkbhpi/C85uGXVZSXMRHzjuOt5++fDBtU2MzH7n9YXYd6By37IqIZKvQwaUSSPV1vDvumkxcB5wCXOWc2zTShc65W5xzJ2b4/LGprPKDLGfO8cc93XD9VbC7cdhlZsZ7zj6CS/955eAU0zv3d3DFtx9ii3qSicgEV+jg0gmUpzgXirsmLWZ2NXApcItz7itjzFv+1DfAFV+CqqB3WFsLXPdpv6plgvNOXMJnzl9NadCgf6Cjh49/92Eef27kEf8iIoVU6ODSiK/6ShZgFuKrzFKPOoxjZmuBzwDfBi7JWQ7zZf5i+NDnfVUZwN5dvgSTZKnk04+az1cuPJnqkO/c19U7wGd/uIHfP7FzPHMsIpK2QgeXDUEeXh6faGYhYBWQVnuImX0O+BzwXeBiN1kGhyw/Gv79k0NLJb+wBW662k94meDYQ2by9XefyqwaX6AbiDq++rON/OTh58YzxyIiaSl0cLkTcMDlCenvx7e1fD+WYGbLzOzIxAeY2VXAWuAO4CLnXDRvuc2HVa+ACy8dOn7qL/Cd61IOsrz2olM5JG4Oslvvf5r/+u0/NIuyiEwoBR1E6Zx7wsxuBC41s7uBXwJH4UfoP8Dw3l6/Aw4lbgllM/sg8HngReB+4B02fO363c654YNJJqIzX+dXsrw3iKUP/863v7zl/UM9ywJz6ir4xntOZe1dj/Hki/sBuPvR59nf3sNH/89xlJUUj3fuRUQOYoWuQQq6Dl8OrAGWAPvwJZqrnHPtcddtAw51zsUHl9uBd4/w+Aecc2eNlodwOOwAIpFIxvnPGefgjuvhj78aSrMieOW5fhnluhnDLu/pG+Cr9/yVP28aGsqzakkDV73lBKrKS8cr1yIiljSx0MFlIpgQwQVgYADuugV+fy/E1+6FKuF1b4VX/8tQBwB8u8tNv3mKex97YTBt2dxarn77STTUhBARGQdJg0uh21wkXnExvP0DsDbiZ1SO6e6Eu78Nn7kY1q8bbI8pLjI++NqVvPusFYOXPru7lStuf4jtmrJfRApIwWUiWo/rR24AABlrSURBVLgELv8SXHY1zD9kKL1pD9xyDXzlCnj2acAPtnzHKw/nI+cdR1HQ3rS7uYuP3P4Qz+w8eNyMiMh4UHCZqMzg2JNg7U3wbx+E6rqhc8894wPMLddAk29zOXfVYta+9QTKS/yvtLWrj0989xEe3TJxplcTkelDwWWiKy6Gs8+DL/8PnHs+lMQ11q9fB5++2FeZdXdy8uFz+dq7TqG2wl/T0x9l7Z2P85uN2wuTdxGZthRcJovKar/o2NW3wAmnD6X398Ev74RPvhf++CuOnF/LtRedytx6v05a1Dm+ce/fufX+pzVtv4iMG/UWYwL1FsvElifhzv+CbVuGpy9cAm9dw/5DjuYzP9jAs7tbB0/NqatgzauP4vQj55EwHkhEJFvqipzKpAwu4Kfsf/QPvlrswL7h5457OZ1vfA9ffHAvjz83/Nzqw2YRPncli+NG+ouIZEnBJZVJG1xierrhvrvhV3f51zFFRbgzX88fDjubmx/aSUvn0BygJUXGv55yGO945XIqygo6UYOITG4KLqlM+uAS09wEP/uOXz45/vdaUUXPmefxA1vOXU+3EI07Nas2xJpzjuKMo+erqkxEsqHgksqUCS4xLz7rR/o/87fh6UVFtB95AnfYCv63bQYuLpisWtrAB89dySGza8Y5syIyySm4pDLlggv4ksvfHoEf/zfsPnjdl866Ofw0dBT/W3o4bcW+Z1lxkfEvJy/l3155OJXlqioTkbQouKQyJYNLTH8/bHwI1v3i4JIM0F9Uwh8qDufemmPYVDYXzGioKef95xzFWSsXqKpMREaj4JLKlA4u8RpfhAd+AQ/dD10dB53eUjabX1Qfw++rjqCnqJTjDp3JB197DEvmqKpMRFJScEll2gSXmJ5uP7r/Dz+HF7cedLrDyriv+kh+UX0sO8obeOPLl/DOMw6nKqSp/EXkIAouqUy74BLjHDy/Gdb9HDY8AH29B13yt/KF/KLmGJ6afTQXvXolrzp2oarKRCSegksq0za4xGtvg4fu89VmSToA7C+q5NfVR7N1xWn825tOY9m82gJkUkQmIAWXVBRc4kSj8MxGWPcL3MaHsWh02OkBjA0VS9i38jQOO+NUjjxq6eBU/yIyLSX9AFB/UxmuqAiOXg1Hr8YO7IM//ZroA7+kqGU/AMU4Tul6Hh57Hh77HjvLZ9Ky6AhmvuxE5p50EtYwp8BvQEQmApVcUMllVP398LdH6Lrv/1Gx9e8jXtpW3YAdcSzVx66GFcfA7Pl+bRoRmapUcpEslZTACadTccLpuF3b2fubX9D/9EbmNL1ICcOrzWram+DxdX4DBupmUnzEcbDiWB9s5h+iYCMyDSi4SEZs/mLmvOcSAPq7unjmofU0Pb6Bmu2bWNG9i5AbvmZMcct+3+15/TqfUF3ng0ws2CxaCkXF4/smRCTvFFwkayUVFRz5qjPhVWfS0zfAhk2NbH74MYq2PMHRnTtZ2dNIlesbflN7C/zlz34DqKiE5Sth2dEwbyHMWQhzFkCoYvzfkIjkjIKL5ER5aTGnH7OY049ZTEfPG3jomd1c88R2DmzaxDHdOzi2u5FjexqpjXYPv7GrE57Y4Ld4dTN8oJm7wAebOQthbhB4ykPj98ZEJCsKLpJzVeWlvPr4Rbz6+EU0d6zmwWde4p4nG7n6hSYO6dvPsT07g2Czk4aBzuQPaTngty1PHnyubuZQoIntY5sCj8iEoOAieVVfVc4bTjiUN5xwKHtbu3jgqV2se6qRn+9qAedY0N/CMT2NLO1tYmF/Mwv7m5nf30qxi6Z+aMt+v21+4uBzM2YNBZ0Fh8KCQ/zSz7Uz1JFAZBwpuMi4mV1bwfmvOIzzX3EYO5raWffULtY9uZPfNtUPu67IRZnT38bC/mZWlnVxfGUPh0RbqWndgzXthoGB1P/IgX1+25TQZbq61gebhYfCgiU+4Cw4FKo1KadIPmicCxrnUkjOOZ7b3cbDm3fz6ObdbN7VkvLamopSTj6sgTPmFnN8RTehA7v9VDV7dsGenbDvJT/DQCbqG4aCzsIlPvAsOEQdCkTSp+lfUlFwmTia2rp5dMseHt28m78+v4+e/uTBorjIOPbQmZxy+FxOWTGX+TMq/WDPpt2wpxF2bYfGF/y28wXo6cosI7PmBiWcQ4dKObPm+d5tql4TiafgkoqCy8TU0zfAX5/f54PNlt00tfWkvPaQWdWcsmIup6yYw5ELZ1BcFPf/PRqFA3th5zYfaHZuCwLPi9Dfl+qRyZWV+9JOfYPvWFA/M+E4eK2Sj0wfCi6pKLhMfM45tr7UyqObd/PIlj1sGaH6rK6yjBOXzWbl4hmsWFDPkjk1lBYXHXxhdMBXqcWCzc4XoHGbr2obqV0nHeUVwwNP/UyoaxgeiGrrIKSSkEx6Ci6pKLhMPvtau1m/dQ+PBNVnvSmqzwBKi4tYOqeGwxfUsWJ+HYfPr+fQ2dWUJAs44Eszu3cGJZ1tPujsetF3FOhNXXrKSlERVFZDRRVUVUNFtd9Xxm3x6fHnK6r81DwihaXgkoqCy+TW3TfAxuf38cjm3Ty6ZQ/720cPAGUlRSybWxsEnHoOn1/H4lnVw6vTEjkH3Z3QvB+am4JtP7QEr1v2D51LsvBaXpRXQGVVEIRq/FZdC1W1weu44+qaofTxDkrRqP+Z9Pak2HdDby/09QT74FxvT1xa/LngejOoqfPvsabOTy+UeFxd66szJV80caVMTaHS4qC9ZS5R59i6q4W/bWti864WtuxqYdeBgwdq9vZHeXpnM0/vbAZeAPwsA8vn1XL4/KCEs6CeRQ1VQ+vVmPnSQkUVzF+cOkPOQWf7UPBpbgoCUDA+p7kJDjRBR6tfcnoserr8dmBfZveFKoeCzeC+dniAqqzy1YOxD/lhW/DhPuy4Jy6tOy449Oa+xJep8lDyAJQYjCqr/e/ZueEbDqLBPp10F5cWqhz6uVZWTZu59BRcZEopMmPFgnpWLBgaO9Pa1cuWXS1safTBZsuuFna3HNx7rKdvgKe2H+Cp7QcG0yrLSlg+Pwg4C+o5ckE9c+srRl7q2Wzow2ThkpEz3N8HXR3Q0e4DUmxLPE6W3tURfIhlobvTb/t2Z3f/ZNPT7bemPYXNR+wLSuz/x7DSZuw4rhQaK2lWVkPx5ApKCi4y5dVWlHHCYbM54bDZg2nNHT2DgWZzEHT2tR1ciujs7efvL+zn7y/sH0yrqyzjiAV1HLGgniMW+kBWV1mWXeZKSqGm3m+ZikZ9gBgMPG1+a2+D9lZfMmoP0jpag7Q2H6BGmgEhX0pKffVUWTmUlg3fJ0sb6VzsdXTAv6/2Vmhr8ROjtsWOm4fODfSPnr/xECvVdrbD3l2Z3RsLSuUhH2iKioN9kX89eBykjfo67v4Zs+HsN+T0rSq4yLRUX1XOScvncNLyoZUzm9q6hwLOrhY2NzbT3HFw20lLZy/rt+5l/da9g2nzZ1T6YLOgjiMW1rNsXh2h0jx/04x1Bqiszuy+aNSXetoTg05CUOrq8G0zsQ/zslDch3sIysuHH5eVQ1my4+C+ohQdKPLNOT9BantLEIBah7+OBaX2Vh94zXwrggX5NfOvDcCgyIJ9/PlgI+61FQFBO11HEPw727N/H10dfsuHJSsUXETypaEmRENNiFNWzAV89+d9bd1saWxhU2Mzm3e1sGlnMx09B38L3nWgk10HOln3VCPgq+cOm1vjq9IW1nPEgvrROwyMl6KioWoXFhQ6N/lnFnR6qPLzzhXSwMDwUma6W2d79lWg6chDlZuCi0gKZsbs2gpm11Zw6pHzAIg6R+P+DjbtbGZTEHSefamVvoHh1UzRYFzO1pda+eVfXgR8x4MVseq0BfUcOqeGhppyKstKRm7DkamjuNh3HKipy+y+6AB0dvpSZW+PP45G/X4gth8Y2rvo8OOD0hPO1zfk/K0quIhkoMiMRQ3VLGqo5lXHLQKgbyDK87tb2dTYzKadPuBs39dO4vfM7r6Bg9pvwPdSa6gpZ2Z1iIbqchpqQsyM28+s8emV5QpC01ZRcdCtfPJMtKrgIjJGpcVFgz3UzjvRp3V097FlV0sQcHwpJ1mHAfC91Br3d9K4P8XaNoHy0uJhQWdwHwSgWTUh5s+oTD04VGQcKbiI5EFVqJRVS2exaumswbR9rd1sbmzmmcZmNjU2s7u5i/1t3Skn50zU0zcw2LaTSnGRMX9GJYsbqlk8q5rFs6pY1FDN4oZqaipKx/y+RNKl4CIyTmbVhphVO2+w/QZ8p4GOnn72t3XT1N4ztG/voamte2ifZhAaiDp2NHWwo6mDhzcPH8NSX1U2FHQaqoJ9NbPrKiZGRwOZUhRcRArIzKgOlVIdKuWQ2anr051zdPb0DwagWNCJD0i7mzvZ25p6xH9zRy/NHft54sXhbT5lJUUsnBmUcGZVDQagRQ1VVJTpI0Kyo/85IpOAmVEVKqUqVMohs1KPa+nu7WdHUwfbm9rZvi+2b2fn/o6Uk3v29kd5fk8bz+9pO+hcXWUZc+oqhrbaELMHX1dQX1WmTgaSlIKLyBQSKith+fw6ls8f3tV1IOrY29Llg01TB9v3tbMjCEAHOlLP+9XS2UtLZ2/KJQ5Ki4uYXRdiTm3FsCA0u7aCOXUhZtdWUJ7vwaQyISm4iEwDxUXGvBmVzJtRyUnLh59r6+rzgSYINjuC0k7jgU4GoiMP3OsbiI7a022w9FMbYkZ1OTUVZdRUlFIb7GsqSqkJlVJTUUZ1RWnytXdk0lFwEZnmaipKOWrRDI5aNGNY+kDUsb+9mz0tXext6WZPa1fwuovdLV3sbe2ivXv0ObtGK/0kqiwrGQw61RWl1ISGgtCwgFRRRm1FKXWVZdRUlKlTwgSj4CIiSRUXDc1QQIoVBjp6+tjb0s3eIPDsaelib2v3sNfRDKct6eztp7O3P+nM1akYUFtZRl38VuX39ZVl1FWWDx7HNo0Hyi8FFxHJWlV5KVVzSlkyJ3lPt8TST0tXL22dvbR199HW1UdbV2+w76O1q5f27j5GqYlLyjFUQkpXdajEB534YFRRRlWohIoyv1WVl1BRXkJledxxWQmhsuKhdX4kKQUXEcmbdEo/8aJBl+tkgaetqy8ISnHpnb00d/qglKn27n7au/vZuT/zmYYNqCiLBZ1iKstLqSgvpqrMB6PYuaryEirLS6kqL6E6VEpVqISq8tKg+3kJ5aXFU7a3nYKLiEwYRXHjfubPqEz7vv6BKK1dvbR0+NJLc1CK8cc9g6Wa5uB8W1dvViWkGMdQ9d1YFBcZVeUlVAXveei1D0LDX/sAVRMqHawCnMhVewouIjLplRQXMbM6xMzqUFrXD0Qd7d19tHT0DAtGrZ29dPb009XbT2dPP529A3T29NHVOzCY3tHTT0/fQE7yPRB1tHb10dqVeckLoKq8ZLA6r66ybHi707A2pnJqK0vHdQZuBRcRmXaKi2zwgzcbA9HoYMAZHowSjnt8MOro7qM92Hd099HR0097d1/Kga3p6gie38jIk57GlBYXUVtZOhhs6oP9/BlV/OvJS8eUl0QKLiIiGSouKqI6VER1aGyTgfb2+wDVHhdwOrr76ejpG3zd3t03eE170BEi26q9voEoTW09NLUNHzi7dE6NgouIyFRRVlJMWUkx9VXlGd8bdY72rj6ag+q8lrgt2XFzZ2/K6rxsS3AjUXAREZmEisyoDdpZ0tXdNzA88HT00NLVx8wsgttoFFxERKaJUGkxoWD+t3ybuP3YRERk0poQwcXMiszsCjN7xsy6zWy7mX3dzKrG434REcmtCRFcgGuBbwD/AD4E/Bj4MHCvmaWTx7HeLyIiOVTwNhczW4kPCHc7594cl/48cD3wNuAH+bpfRERybyJ8q387fqqe6xLSbwU6gQvzfL+IiOTYRAguJwFRYH18onOuG9gYnM/n/SIikmPmMlxrIecZMHsCmOOcm5vk3F3ABUC5cy7pXNpjud/M1gBrPvCBD5wwxrchIjJtRSKRgyYsmwgll0og1SLe3XHX5Px+59wtzrkTR82hiIhkpOAN+vh2kTkpzoXirsnX/UmjbibM7DEFqYlFv5OJSb+XiSdfv5OJUHJpBGaZWbL5BxYC+1JVieXofhERybGJEFw24PPx8vhEMwsBq4DH8ny/iIjk2EQILnfiF3a7PCH9/fi2ku/HEsxsmZkdme39eXTLOPwbkhn9TiYm/V4mnrz8TgreWwzAzL4FXArcA/wSOAo/wv7PwD8556LBdduAQ51zls39IiIyPiZKcCnGlzzWAEuAffgSyVXOufa467aRPLikdb+IiIyPCRFcRERkapkIbS4iIjLFKLhkQVP8T0xm5lJsqhodB2b2STP7sZk9F/zct41y/clmdr+ZtZlZq5n92sxWjVN2p4VMfidmdvsIf0PnZ/pvT4RBlJPRtfgOA/cAX2eoA8HLzOwcdSAoqD9xcO+XvkJkZBr6MrAf+AtQP9KFZnYKsA7YCVwVJF8K/MnMTnXOPZHHfE4naf9O4rwzSdr6JGkjUnDJkKb4n/Cec859r9CZmKaWOeeeAzCzJ4HqEa69HugFznDO7QzuuQt4Gv+F7TV5zut0kcnvBIBc/f2oWixzmuJ/gjOzMjMb9Y9Iciv2ITYaM1uOn638x7HAEty/E7/Q3zlmNi8/uZxe0v2dxDOvdqwLLSq4ZE5T/E9s5+ODfJuZ7TGzb5lZXaEzJcPE/kYeTnLuEfyXN81UXjgtwdZlZveZ2cnZPETVYplbgJ+vLNlMzDuBU82sTPOZFcR6/DffrUAt8Dp8Pf6ZQT2+GvYnhgXBfmeSc7G0heOUFxnyEr49+XGgAzgeP37wT2b2Oufc/Zk8TMElc+lO8a/gMs6cc4nfsL5rZn8HvgRcFuyl8GJLYCT7O0pnmQ3JA+fclQlJPzOzH+BrZG4CDs/keaoWy1wnkGwGZkhzin8ZV/+BD/SvL3RGZFDs7yPZ35H+hiYQ59wW4C5guZmtyOReBZfMaYr/ScQ510fwOyt0XmRQY7BPVvUVS0tWZSaFsS3YZ/Q3pOCSOU3xP4kEv5dFwO5C50UGbQj2r0hy7hT8LOePj192ZBSx6rCM/oYUXDI3Eab4lwRm1pDi1NX4tsV7xzE7MgLn3Fb8l7ALzCzWuE/w+gLg9865lwqVv+nIzKqCL2KJ6S/D/06eds49m8kz1aCfIefcE2Z2I3Cpmd3N8Cn+H0ADKAvlM8Go7z8AL+IHi70OOBt4FPhWAfM2LZjZO4FDg8PZQJmZfSY4fsE5d0fc5Zfhf1d/CpbMAD84uQj46HjkdzrI4HdyOPArM/sZsIWh3mLvBQbwM85n9m9rVuTMaYr/icfM3giEgWOABvwfRKwx8hvBOCTJIzNbB5yZ4vQDzrmzEq5/BfBF4GR8bcBDwCedc3/JYzanlXR/J8Gg1f/Aj0FaAFQAu/BfAL7inHsm439bwUVERHJNbS4iIpJzCi4iIpJzCi4iIpJzCi4iIpJzCi4iIpJzCi4iIpJzCi4iIpJzGqEvMo2Ew+G1wOeAsyORyLrC5kamMgUXkQyEw+F0Rh3rg1umPQUXkex8foRz28YrEyITlYKLSBYikcjaQudBZCJTcBHJo/g2DvzstJcDRwJtwM+BT0UikYOmlw+Hw4cDnwVehZ/Ndh9wP3B1JBLZkuT6YvyyD+/ET95Zhl9wax3w1RT3nA98Iri+G/gt8NFIJKKFumTM1FtMZHxcAdwM/A24DtgEXAQ8FA6HZ8dfGA6HT8Kvd3IhfmGt/wQeAf4NeCwcDp+YcH0Z8Gv8OueL8cs+XI9fcOtfgNOS5CcMfA9fhXcj8CTwVuD+cDicahlvkbSp5CKShaBEkkx3JBK5Jkn6PwMnRyKRv8Y941p8SeYa4H1BmgHfBWqBCyORyPfjrn8r8CPge+Fw+OhIJBINTq0FzsEviHZBJBLpibunPHhWotcCJ0UikSfirv0B8HbgjfilCkSyppKLSHY+l2K7MsX1d8QHlsBaoAV4R1xp4VR8tdnD8YEFIBKJ3Ak8CBwBnA6D1WFhoAu4JD6wBPf0RCKRvUnyc318YAncGuxfnnixSKZUchHJQiQSsQxveSDJM1rC4fBG/GJORwEbgdXB6d+neM7v8YHlZcAf8YGoDng0Eok0ZpCfx5KkbQ/2MzJ4jkhSKrmIjI/dKdJjjfl1CftdKa6Ppdcn7DNthG9OktYf7IszfJbIQRRcRMbH3BTp84J9S8J+XpJrAeYnXBcLEguzz5pI7im4iIyPg9YxD4fDdcAqfDfgp4PkWLvMWSmeE0uPrTP/DD7AHBcOhxfkIqMiuaDgIjI+3hkOh1+WkLYWXw32w7iG+D/juymfHoxDGRQcnwFsxjfsE4lEBoAIUAHcnNiNOBwOlyV2dRYZD2rQF8nCCF2RAX4WiUQ2JqT9CvhzOBy+C99ucnqwbSOuh1kkEnHhcPjdwH3AneFw+H/xpZMjgDfhB1++K64bMvipaE4GzgM2h8PhnwfXLQZeA3wcuD2rNyqSJQUXkex8boRz2/A9v+JdC9yDH9fyVqAd/4H/qUgksif+wkgk8mgwkPIz+PEr5+FH6P8QP0J/U8L1veFw+LXAJcC7gHcDBjQG/+aDmb89kbEx59KZ5FVEsqEp7mW6UpuLiIjknIKLiIjknIKLiIjknNpcREQk51RyERGRnFNwERGRnFNwERGRnFNwERGRnFNwERGRnPv/iF5zmDNqb6QAAAAASUVORK5CYII=\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ooo.plot_history(history, figsize=(6,4))" ] @@ -335,20 +205,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 864x1652.4 with 200 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "y_pred = model.predict_classes(x_test)\n", "ooo.plot_images(x_test, y_test, range(0,200), columns=12, x_size=1, y_size=1, y_pred=y_pred)" @@ -363,20 +222,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 864x507.6 with 15 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "errors=[ i for i in range(len(x_test)) if y_pred[i]!=y_test[i] ]\n", "errors=errors[:min(24,len(errors))]\n", diff --git a/MNIST/fidle/pwk.py b/MNIST/fidle/pwk.py index fbefd3066c7a33854a845e88a3fd57c6189a2496..fd7bc208cc25b092430d6b75439e341c253fd702 100644 --- a/MNIST/fidle/pwk.py +++ b/MNIST/fidle/pwk.py @@ -26,7 +26,7 @@ import matplotlib import matplotlib.pyplot as plt import seaborn as sn -VERSION='0.1.7' +VERSION='0.2' # ------------------------------------------------------------- @@ -160,32 +160,26 @@ def plot_image(x,cm='binary', figsize=(4,4)): # show_history # ------------------------------------------------------------- # -def plot_history(history, figsize=(8,6)): +def plot_history(history, figsize=(8,6), + plot={"Accuracy":['accuracy','val_accuracy'], 'Loss':['loss', 'val_loss']}): """ Show history args: history: history - save_as: filename to save or None + figsize: fig size + plot: list of data to plot : {<title>:[<metrics>,...], ...} """ - # Accuracy - plt.figure(figsize=figsize) - plt.plot(history.history['accuracy']) - plt.plot(history.history['val_accuracy']) - plt.title('Model accuracy') - plt.ylabel('Accuracy') - plt.xlabel('Epoch') - plt.legend(['Train', 'Test'], loc='upper left') - plt.show() + for title,curves in plot.items(): + plt.figure(figsize=figsize) + plt.title(title) + plt.ylabel(title) + plt.xlabel('Epoch') + for c in curves: + plt.plot(history.history[c]) + plt.legend(curves, loc='upper left') + plt.show() - # Loss values - plt.figure(figsize=figsize) - plt.plot(history.history['loss']) - plt.plot(history.history['val_loss']) - plt.title('Model loss') - plt.ylabel('Loss') - plt.xlabel('Epoch') - plt.legend(['Train', 'Test'], loc='upper left') - plt.show() + # ------------------------------------------------------------- # plot_confusion_matrix