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"x_test / loss : 7.8599\n",
"x_test / mae : 1.9740\n",
"x_test / mse : 7.8599\n"
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]
}
],
"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": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
]
}
],
"source": [
"print(\"min( val_mae ) : {:.4f}\".format( min(history.history[\"val_mae\"]) ) )"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"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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\n",
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"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ooo.plot_history(history, plot={'MSE' :['mse', 'val_mse'],\n",
" 'MAE' :['mae', 'val_mae'],\n",
" 'LOSS':['loss','val_loss']})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 7 - Restore a model :"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 7.1 - Reload model"
]
},
{
"cell_type": "code",
"execution_count": 13,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: \"sequential\"\n",
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"Dense_n1 (Dense) (None, 64) 896 \n",
"_________________________________________________________________\n",
"Dense_n2 (Dense) (None, 64) 4160 \n",
"_________________________________________________________________\n",
"Output (Dense) (None, 1) 65 \n",
"=================================================================\n",
"Total params: 5,121\n",
"Trainable params: 5,121\n",
"Non-trainable params: 0\n",
"_________________________________________________________________\n",
"Loaded.\n"
]
}
],
"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": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x_test / loss : 7.5745\n",
"x_test / mae : 1.9386\n",
"x_test / mse : 7.5745\n"
]
}
],
"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": 15,
"metadata": {},
"outputs": [],
"source": [
"my_data = [ 1.26425925, -0.48522739, 1.0436489 , -0.23112788, 1.37120745,\n",
" -2.14308942, 1.13489104, -1.06802005, 1.71189006, 1.57042287,\n",
" 0.77859951, 0.14769795, 2.7585581 ]\n",
"real_price = 10.4\n",
"my_data=np.array(my_data).reshape(1,13)"
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"predictions = loaded_model.predict( my_data )\n",
"print(\"Prediction : {:.2f} K$ Reality : {:.2f} K$\".format(predictions[0][0], real_price))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
]
}
],
"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": "3.7.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}