{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1587aa08",
   "metadata": {},
   "source": [
    "# Lesson 28: TensorFlow/Keras neural network demonstration - part 2\n",
    "\n",
    "## Notebook set up\n",
    "\n",
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "39b9bf45",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Third party imports\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import tensorflow as tf\n",
    "\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras import layers\n",
    "from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, TensorBoard"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5a41854",
   "metadata": {},
   "source": [
    "### GPU configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7b7ac2dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using GPU: PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')\n",
      "Memory growth enabled\n"
     ]
    }
   ],
   "source": [
    "# Configure GPU settings\n",
    "gpus = tf.config.list_physical_devices('GPU')\n",
    "\n",
    "if gpus:\n",
    "    try:\n",
    "        # Use only GPU 0\n",
    "        tf.config.set_visible_devices(gpus[0], 'GPU')\n",
    "\n",
    "        # Enable memory growth\n",
    "        tf.config.experimental.set_memory_growth(gpus[0], True)\n",
    "\n",
    "        print(f'Using GPU: {gpus[0]}')\n",
    "        print('Memory growth enabled')\n",
    "\n",
    "    except RuntimeError as e:\n",
    "        print(e)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98f5eab8",
   "metadata": {},
   "source": [
    "## 1. Load California housing data\n",
    "\n",
    "Load the preprocessed data from part 1 of the demo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e94bf1e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data dictionary contains: ['training_df', 'testing_df', 'features', 'label', 'feature_scaler', 'label_scaler']\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_pickle('https://gperdrizet.github.io/FSA_devops/assets/data/unit4/preprocessed_housing_data.pkl')\n",
    "print(f'Data dictionary contains: {list(data.keys())}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0561763f",
   "metadata": {},
   "outputs": [],
   "source": [
    "training_df = data['training_df']\n",
    "testing_df = data['testing_df']\n",
    "features = data['features']\n",
    "label = data['label']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01f45893",
   "metadata": {},
   "source": [
    "## 2. Build model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d285821c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " dense (Dense)               (None, 32)                288       \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 32)                0         \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 64)                2112      \n",
      "                                                                 \n",
      " dropout_1 (Dropout)         (None, 64)                0         \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 32)                2080      \n",
      "                                                                 \n",
      " dropout_2 (Dropout)         (None, 32)                0         \n",
      "                                                                 \n",
      " dense_3 (Dense)             (None, 1)                 33        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 4513 (17.63 KB)\n",
      "Trainable params: 4513 (17.63 KB)\n",
      "Non-trainable params: 0 (0.00 Byte)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "tf.random.set_seed(315)\n",
    "\n",
    "model = keras.Sequential([\n",
    "    layers.Input(shape=(8,)),\n",
    "    layers.Dense(32, activation='relu'),\n",
    "    layers.Dropout(0.2),\n",
    "    layers.Dense(64, activation='relu'),\n",
    "    layers.Dropout(0.2),\n",
    "    layers.Dense(32, activation='relu'),\n",
    "    layers.Dropout(0.2),\n",
    "    layers.Dense(1)\n",
    "])\n",
    "\n",
    "model.compile(\n",
    "    optimizer=keras.optimizers.Adam(learning_rate=1e-4),\n",
    "    loss='mse',\n",
    "    metrics=['mae']\n",
    ")\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a746b8d",
   "metadata": {},
   "source": [
    "## 3. Callbacks\n",
    "\n",
    "1. [Custom callbacks](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/Callback)\n",
    "2. [Early stopping callback](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/EarlyStopping)\n",
    "3. [Model checkpoint](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ModelCheckpoint)\n",
    "4. [Tensorboard](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/TensorBoard)\n",
    "\n",
    "To start tensorboard, run:\n",
    "\n",
    "```text\n",
    "tensorboard --logdir=path/to/log_dir/from/notebook_dir\n",
    "```\n",
    "\n",
    "Then visit the URL provided in your browser or via the 'ports' tab in VS Code. **Note**: if you are using the course tensorflow-GPU devcontainer environment, you do not need to start TensorBoard manually - it will start when you spin up the container. You can access it at `localhost:6006` or via the command pallette under `Python: Launch TensorBoard`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8fd4460",
   "metadata": {},
   "outputs": [],
   "source": [
    "es_callback = EarlyStopping(\n",
    "    monitor='val_loss',\n",
    "    patience=5,\n",
    "    restore_best_weights=True,\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "checkpoint = ModelCheckpoint(\n",
    "    filepath='best_model.keras',\n",
    "    monitor='val_loss',\n",
    "    save_best_only=True\n",
    ")\n",
    "\n",
    "tensorboard = TensorBoard(\n",
    "    log_dir='../logs',\n",
    "    histogram_freq=1,\n",
    "    write_graph=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04aa4af3",
   "metadata": {},
   "source": [
    "## 4. Train model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5178fc7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1769138210.941555  356963 service.cc:145] XLA service 0x71278808b040 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
      "I0000 00:00:1769138210.941592  356963 service.cc:153]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
      "I0000 00:00:1769138211.060522  356963 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training complete.\n",
      "Final training loss: 0.2425\n",
      "Final validation loss: 0.2457\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(\n",
    "    training_df[features],\n",
    "    training_df[label],\n",
    "    epochs=500,\n",
    "    batch_size=128,\n",
    "    validation_split=0.2,\n",
    "    callbacks=[checkpoint, tensorboard],\n",
    "    verbose=0\n",
    ")\n",
    "\n",
    "print('Training complete.')\n",
    "print(f'Final training loss: {history.history[\"loss\"][-1]:.4f}')\n",
    "print(f'Final validation loss: {history.history[\"val_loss\"][-1]:.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d74f3b7e",
   "metadata": {},
   "source": [
    "## 5. Learning curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e0f48c27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(10, 4))\n",
    "\n",
    "axes[0].set_title('Sequential API: loss')\n",
    "axes[0].plot(history.history['loss'], label='Training')\n",
    "axes[0].plot(history.history['val_loss'], label='Validation')\n",
    "axes[0].set_xlabel('Epoch')\n",
    "axes[0].set_ylabel('Loss (MSE)')\n",
    "axes[0].legend(loc='best')\n",
    "\n",
    "axes[1].set_title('Sequential API: MAE')\n",
    "axes[1].plot(history.history['mae'], label='Training')\n",
    "axes[1].plot(history.history['val_mae'], label='Validation')\n",
    "axes[1].set_xlabel('Epoch')\n",
    "axes[1].set_ylabel('Mean absolute error')\n",
    "axes[1].legend(loc='best')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9f32761",
   "metadata": {},
   "source": [
    "## 6. Test set evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fa2e6fa3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model R² on test set: 0.7674\n"
     ]
    }
   ],
   "source": [
    "predictions = model.predict(testing_df[features], verbose=0).flatten()\n",
    "\n",
    "ss_res = np.sum((testing_df[label] - predictions) ** 2)\n",
    "ss_tot = np.sum((testing_df[label] - np.mean(testing_df[label])) ** 2)\n",
    "rsquared = 1 - (ss_res / ss_tot)\n",
    "\n",
    "print(f'Model R² on test set: {rsquared:.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9a0827c",
   "metadata": {},
   "source": [
    "## 7. Performance analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "322b1929",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 4))\n",
    "\n",
    "axes[0].set_title('Predictions')\n",
    "axes[0].scatter(\n",
    "    testing_df[label], predictions,\n",
    "    c='black', s=0.5, alpha=0.5\n",
    ")\n",
    "\n",
    "axes[0].plot(\n",
    "    [testing_df[label].min(), testing_df[label].max()],\n",
    "    [testing_df[label].min(), testing_df[label].max()],\n",
    "    color='red', linestyle='--'\n",
    ")\n",
    "\n",
    "axes[0].set_xlabel('True values (standardized)')\n",
    "axes[0].set_ylabel('Predicted values (standardized)')\n",
    "\n",
    "axes[1].set_title('Residuals vs predicted values')\n",
    "axes[1].scatter(\n",
    "    predictions, testing_df[label] - predictions,\n",
    "    c='black', s=0.5, alpha=0.5\n",
    ")\n",
    "\n",
    "axes[1].axhline(0, color='red', linestyle='--')\n",
    "axes[1].set_xlabel('Predicted values (standardized)')\n",
    "axes[1].set_ylabel('Residuals (standardized)')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b21a7042",
   "metadata": {},
   "source": [
    "## 8. Save the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2ad6b284",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('housing_price_model_sequential_api.keras')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ab18d8c",
   "metadata": {},
   "source": [
    "## 9. Load the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6bed05de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " dense (Dense)               (None, 32)                288       \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 32)                0         \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 64)                2112      \n",
      "                                                                 \n",
      " dropout_1 (Dropout)         (None, 64)                0         \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 32)                2080      \n",
      "                                                                 \n",
      " dropout_2 (Dropout)         (None, 32)                0         \n",
      "                                                                 \n",
      " dense_3 (Dense)             (None, 1)                 33        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 4513 (17.63 KB)\n",
      "Trainable params: 4513 (17.63 KB)\n",
      "Non-trainable params: 0 (0.00 Byte)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "loaded_model = keras.models.load_model('housing_price_model_sequential_api.keras')\n",
    "loaded_model.summary()"
   ]
  }
 ],
 "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
