{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7d413e5c",
   "metadata": {},
   "source": [
    "# PyTorch DNN model\n",
    "\n",
    "In this notebook, we build a deep neural network (DNN) classifier for the CIFAR-10 dataset using PyTorch's `nn.Sequential` module.\n",
    "\n",
    "## Notebook set-up\n",
    "\n",
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e9e35c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using device: cuda\n"
     ]
    }
   ],
   "source": [
    "# Standard library imports\n",
    "from pathlib import Path\n",
    "\n",
    "# Third party imports\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "\n",
    "from sklearn.metrics import (\n",
    "    confusion_matrix, roc_curve, auc, \n",
    "    precision_recall_curve, average_precision_score\n",
    ")\n",
    "\n",
    "from sklearn.preprocessing import label_binarize\n",
    "from torchvision import datasets, transforms\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "# Set random seeds for reproducibility\n",
    "torch.manual_seed(315)\n",
    "np.random.seed(315)\n",
    "\n",
    "# Check for GPU availability\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "print(f'Using device: {device}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b397c04d",
   "metadata": {},
   "source": [
    "### Hyperparameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07125b1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 2500 # Training images come in 5 batches of 10,000\n",
    "learning_rate = 3e-3\n",
    "epochs = 150\n",
    "print_every = 10 # Print training progress every n epochs\n",
    "\n",
    "# CIFAR-10 class names in class order\n",
    "class_names = [\n",
    "    'airplane', 'automobile', 'bird', 'cat', 'deer',\n",
    "    'dog', 'frog', 'horse', 'ship', 'truck'\n",
    "]\n",
    "\n",
    "# Define data directory for images\n",
    "data_dir = Path('../data')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d7fbeb7",
   "metadata": {},
   "source": [
    "## 1. Load and preprocess CIFAR-10 data\n",
    "\n",
    "CIFAR-10 contains 32x32 color images (3 channels) across 10 classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck. We convert the images to grayscale for this demonstration.\n",
    "\n",
    "### 1.1. Load datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03b141c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training samples: 50000\n",
      "Test samples: 10000\n",
      "Image shape: torch.Size([1, 32, 32])\n",
      "Number of classes: 10\n"
     ]
    }
   ],
   "source": [
    "# Make sure data directory exists\n",
    "data_dir.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "# Data preprocessing: convert to grayscale, tensor, and normalize\n",
    "transform = transforms.Compose([\n",
    "    transforms.Grayscale(num_output_channels=1),\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize((0.5,), (0.5,))\n",
    "])\n",
    "\n",
    "# Load training and test datasets\n",
    "train_dataset = datasets.CIFAR10(\n",
    "    root=data_dir,\n",
    "    train=True,\n",
    "    download=True,\n",
    "    transform=transform\n",
    ")\n",
    "\n",
    "test_dataset = datasets.CIFAR10(\n",
    "    root=data_dir,\n",
    "    train=False,\n",
    "    download=True,\n",
    "    transform=transform\n",
    ")\n",
    "\n",
    "print(f'Training samples: {len(train_dataset)}')\n",
    "print(f'Test samples: {len(test_dataset)}')\n",
    "print(f'Image shape: {train_dataset[0][0].shape}')\n",
    "print(f'Number of classes: {len(class_names)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a14762e",
   "metadata": {},
   "source": [
    "### 1.2. Visualize sample images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "342f6df6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x300 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot first 10 images from the training dataset\n",
    "ncols = 5\n",
    "nrows = 2\n",
    "\n",
    "fig, axes = plt.subplots(nrows=nrows, ncols=ncols, figsize=(ncols*1.5, nrows*1.5))\n",
    "axes = axes.flatten()\n",
    "\n",
    "for i, ax in enumerate(axes):\n",
    "    # Get image and label from dataset\n",
    "    img, label = train_dataset[i]\n",
    "    \n",
    "    # Unnormalize and squeeze for plotting\n",
    "    img = img * 0.5 + 0.5\n",
    "    img = img.numpy().squeeze()\n",
    "    ax.set_title(class_names[label])\n",
    "    ax.imshow(img, cmap='gray')\n",
    "    ax.axis('off')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64e239dc",
   "metadata": {},
   "source": [
    "### 1.3. Create training, validation and testing tensors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "af2112c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape: torch.Size([40000, 1, 32, 32]), device: cuda:0\n",
      "y_train shape: torch.Size([40000]), device: cuda:0\n",
      "X_val shape: torch.Size([10000, 1, 32, 32]), device: cuda:0\n",
      "y_val shape: torch.Size([10000]), device: cuda:0\n",
      "X_test shape: torch.Size([10000, 1, 32, 32]), device: cuda:0\n",
      "y_test shape: torch.Size([10000]), device: cuda:0\n"
     ]
    }
   ],
   "source": [
    "# Reshape and preload entire dataset to device for faster training\n",
    "X_train_full = torch.stack([img for img, _ in train_dataset]).to(device)\n",
    "y_train_full = torch.tensor([label for _, label in train_dataset]).to(device)\n",
    "\n",
    "X_test = torch.stack([img for img, _ in test_dataset]).to(device)\n",
    "y_test = torch.tensor([label for _, label in test_dataset]).to(device)\n",
    "\n",
    "# Split training data into train and validation sets (80/20 split)\n",
    "n_train = int(0.8 * len(X_train_full))\n",
    "indices = torch.randperm(len(X_train_full))\n",
    "\n",
    "X_train = X_train_full[indices[:n_train]]\n",
    "y_train = y_train_full[indices[:n_train]]\n",
    "X_val = X_train_full[indices[n_train:]]\n",
    "y_val = y_train_full[indices[n_train:]]\n",
    "\n",
    "print(f'X_train shape: {X_train.shape}, device: {X_train.device}')\n",
    "print(f'y_train shape: {y_train.shape}, device: {y_train.device}')\n",
    "print(f'X_val shape: {X_val.shape}, device: {X_val.device}')\n",
    "print(f'y_val shape: {y_val.shape}, device: {y_val.device}')\n",
    "print(f'X_test shape: {X_test.shape}, device: {X_test.device}')\n",
    "print(f'y_test shape: {y_test.shape}, device: {y_test.device}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6caa89b0",
   "metadata": {},
   "source": [
    "### 1.4. Create `DataLoader()` objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2e87c84a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training batches: 16\n",
      "Validation batches: 4\n",
      "Test batches: 4\n"
     ]
    }
   ],
   "source": [
    "# Create TensorDatasets\n",
    "train_tensor_dataset = torch.utils.data.TensorDataset(X_train, y_train)\n",
    "val_tensor_dataset = torch.utils.data.TensorDataset(X_val, y_val)\n",
    "test_tensor_dataset = torch.utils.data.TensorDataset(X_test, y_test)\n",
    "\n",
    "# Create DataLoaders\n",
    "train_loader = DataLoader(\n",
    "    train_tensor_dataset,\n",
    "    batch_size=batch_size,\n",
    "    shuffle=True\n",
    ")\n",
    "\n",
    "val_loader = DataLoader(\n",
    "    val_tensor_dataset,\n",
    "    batch_size=batch_size,\n",
    "    shuffle=False\n",
    ")\n",
    "\n",
    "test_loader = DataLoader(\n",
    "    test_tensor_dataset,\n",
    "    batch_size=batch_size,\n",
    "    shuffle=False\n",
    ")\n",
    "\n",
    "print(f'Training batches: {len(train_loader)}')\n",
    "print(f'Validation batches: {len(val_loader)}')\n",
    "print(f'Test batches: {len(test_loader)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80c6da6d",
   "metadata": {},
   "source": [
    "## 2. Build DNN classifier with nn.Sequential\n",
    "\n",
    "We build a fully connected deep neural network using `nn.Sequential`. Since we are not using convolutional layers, we flatten the 32x32x1 grayscale images into a 1024-dimensional vector.\n",
    "\n",
    "### 2.1. Define model architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dc22e56c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequential(\n",
      "  (0): Flatten(start_dim=1, end_dim=-1)\n",
      "  (1): Dropout(p=0.5, inplace=False)\n",
      "  (2): Linear(in_features=1024, out_features=1024, bias=True)\n",
      "  (3): ReLU()\n",
      "  (4): Dropout(p=0.5, inplace=False)\n",
      "  (5): Linear(in_features=1024, out_features=256, bias=True)\n",
      "  (6): ReLU()\n",
      "  (7): Dropout(p=0.5, inplace=False)\n",
      "  (8): Linear(in_features=256, out_features=64, bias=True)\n",
      "  (9): ReLU()\n",
      "  (10): Dropout(p=0.5, inplace=False)\n",
      "  (11): Linear(in_features=64, out_features=10, bias=True)\n",
      ")\n",
      "\n",
      "Total parameters: 1329098\n"
     ]
    }
   ],
   "source": [
    "# Input size: 32 x 32 x 1 = 1024 (grayscale)\n",
    "input_size = 32 * 32 * 1\n",
    "num_classes = 10\n",
    "\n",
    "model = nn.Sequential(\n",
    "    nn.Flatten(),\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(input_size, 1024),\n",
    "    nn.ReLU(),\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(1024, 256),\n",
    "    nn.ReLU(),\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(256, 64),\n",
    "    nn.ReLU(),\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(64, num_classes)\n",
    ").to(device)\n",
    "\n",
    "trainable_params = sum(p.numel() for p in model.parameters() if p.requires_grad)\n",
    "\n",
    "print(model)\n",
    "print(f'\\nTotal parameters: {trainable_params}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2496a914",
   "metadata": {},
   "source": [
    "### 2.2. Define loss function and optimizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "12755a11",
   "metadata": {},
   "outputs": [],
   "source": [
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.Adam(model.parameters(), lr=learning_rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d54042f5",
   "metadata": {},
   "source": [
    "### 2.3. Train model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2cc8c3e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_model(\n",
    "    model: nn.Module,\n",
    "    train_loader: DataLoader,\n",
    "    val_loader: DataLoader,\n",
    "    criterion: nn.Module,\n",
    "    optimizer: optim.Optimizer,\n",
    "    epochs: int = 10,\n",
    "    print_every: int = 1\n",
    ") -> dict[str, list[float]]:\n",
    "    '''Training loop for PyTorch classification model.\n",
    "    \n",
    "    Note: Assumes data is already on the correct device.\n",
    "    '''\n",
    "\n",
    "    history = {'train_loss': [], 'val_loss': [], 'train_accuracy': [], 'val_accuracy': []}\n",
    "\n",
    "    for epoch in range(epochs):\n",
    "\n",
    "        # Training phase\n",
    "        model.train()\n",
    "        running_loss = 0.0\n",
    "        correct = 0\n",
    "        total = 0\n",
    "\n",
    "        for images, labels in train_loader:\n",
    "\n",
    "            # Forward pass\n",
    "            optimizer.zero_grad()\n",
    "            outputs = model(images)\n",
    "            loss = criterion(outputs, labels)\n",
    "\n",
    "            # Backward pass\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "\n",
    "            # Track metrics\n",
    "            running_loss += loss.item()\n",
    "            _, predicted = torch.max(outputs.data, 1)\n",
    "            total += labels.size(0)\n",
    "            correct += (predicted == labels).sum().item()\n",
    "\n",
    "        # Calculate training metrics\n",
    "        train_loss = running_loss / len(train_loader)\n",
    "        train_accuracy = 100 * correct / total\n",
    "\n",
    "        # Validation phase\n",
    "        model.eval()\n",
    "        val_running_loss = 0.0\n",
    "        val_correct = 0\n",
    "        val_total = 0\n",
    "\n",
    "        with torch.no_grad():\n",
    "\n",
    "            for images, labels in val_loader:\n",
    "\n",
    "                outputs = model(images)\n",
    "                loss = criterion(outputs, labels)\n",
    "\n",
    "                val_running_loss += loss.item()\n",
    "                _, predicted = torch.max(outputs.data, 1)\n",
    "                val_total += labels.size(0)\n",
    "                val_correct += (predicted == labels).sum().item()\n",
    "\n",
    "        val_loss = val_running_loss / len(val_loader)\n",
    "        val_accuracy = 100 * val_correct / val_total\n",
    "\n",
    "        # Record metrics\n",
    "        history['train_loss'].append(train_loss)\n",
    "        history['val_loss'].append(val_loss)\n",
    "        history['train_accuracy'].append(train_accuracy)\n",
    "        history['val_accuracy'].append(val_accuracy)\n",
    "\n",
    "        # Print progress\n",
    "        if (epoch + 1) % print_every == 0 or epoch == 0:\n",
    "\n",
    "            print(\n",
    "                f'Epoch {epoch+1}/{epochs} - ' +\n",
    "                f'loss: {train_loss:.4f} - ' +\n",
    "                f'accuracy: {train_accuracy:.2f}% - ' +\n",
    "                f'val_loss: {val_loss:.4f} - ' +\n",
    "                f'val_accuracy: {val_accuracy:.2f}%'\n",
    "            )\n",
    "\n",
    "    print('\\nTraining complete.')\n",
    "\n",
    "    return history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "47e76789",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/150 - loss: 2.1734 - accuracy: 19.93% - val_loss: 1.9892 - val_accuracy: 28.69%\n",
      "Epoch 10/150 - loss: 1.8321 - accuracy: 35.04% - val_loss: 1.7269 - val_accuracy: 39.77%\n",
      "Epoch 20/150 - loss: 1.7561 - accuracy: 38.49% - val_loss: 1.6435 - val_accuracy: 41.87%\n",
      "Epoch 30/150 - loss: 1.7045 - accuracy: 40.52% - val_loss: 1.5955 - val_accuracy: 43.26%\n",
      "Epoch 40/150 - loss: 1.6636 - accuracy: 41.64% - val_loss: 1.5773 - val_accuracy: 43.63%\n",
      "Epoch 50/150 - loss: 1.6400 - accuracy: 42.32% - val_loss: 1.5561 - val_accuracy: 44.82%\n",
      "Epoch 60/150 - loss: 1.6096 - accuracy: 43.90% - val_loss: 1.5448 - val_accuracy: 44.55%\n",
      "Epoch 70/150 - loss: 1.6015 - accuracy: 43.57% - val_loss: 1.5377 - val_accuracy: 44.85%\n",
      "Epoch 80/150 - loss: 1.5756 - accuracy: 44.60% - val_loss: 1.5195 - val_accuracy: 46.01%\n",
      "Epoch 90/150 - loss: 1.5601 - accuracy: 45.55% - val_loss: 1.5156 - val_accuracy: 45.99%\n",
      "Epoch 100/150 - loss: 1.5521 - accuracy: 46.01% - val_loss: 1.5071 - val_accuracy: 46.27%\n",
      "Epoch 110/150 - loss: 1.5386 - accuracy: 46.24% - val_loss: 1.4929 - val_accuracy: 46.75%\n",
      "Epoch 120/150 - loss: 1.5332 - accuracy: 46.78% - val_loss: 1.5067 - val_accuracy: 46.88%\n",
      "Epoch 130/150 - loss: 1.5159 - accuracy: 47.22% - val_loss: 1.5075 - val_accuracy: 46.61%\n",
      "Epoch 140/150 - loss: 1.5115 - accuracy: 47.17% - val_loss: 1.4896 - val_accuracy: 46.70%\n",
      "Epoch 150/150 - loss: 1.4969 - accuracy: 48.28% - val_loss: 1.4896 - val_accuracy: 46.81%\n",
      "\n",
      "Training complete.\n",
      "CPU times: user 2min 26s, sys: 140 ms, total: 2min 27s\n",
      "Wall time: 2min 20s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "history = train_model(\n",
    "    model=model,\n",
    "    train_loader=train_loader,\n",
    "    val_loader=val_loader,\n",
    "    criterion=criterion,\n",
    "    optimizer=optimizer,\n",
    "    epochs=epochs,\n",
    "    print_every=print_every\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9eabe1a2",
   "metadata": {},
   "source": [
    "### 2.5. Learning curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2ea87c85",
   "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('Loss')\n",
    "axes[0].plot(history['train_loss'], label='Train')\n",
    "axes[0].plot(history['val_loss'], label='Validation')\n",
    "axes[0].set_xlabel('Epoch')\n",
    "axes[0].set_ylabel('Loss (cross-entropy)')\n",
    "axes[0].legend(loc='best')\n",
    "\n",
    "axes[1].set_title('Accuracy')\n",
    "axes[1].plot(history['train_accuracy'], label='Train')\n",
    "axes[1].plot(history['val_accuracy'], label='Validation')\n",
    "axes[1].set_xlabel('Epoch')\n",
    "axes[1].set_ylabel('Accuracy (%)')\n",
    "axes[1].legend(loc='best')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23d2a6d6",
   "metadata": {},
   "source": [
    "## 3. Evaluate model on test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6268e2f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate_model(\n",
    "    model: nn.Module,\n",
    "    test_loader: DataLoader\n",
    ") -> tuple[float, np.ndarray, np.ndarray]:\n",
    "    '''Evaluate model on test set.\n",
    "    \n",
    "    Note: Assumes data is already on the correct device.\n",
    "    '''\n",
    "\n",
    "    model.eval()\n",
    "    correct = 0\n",
    "    total = 0\n",
    "    all_predictions = []\n",
    "    all_labels = []\n",
    "\n",
    "    with torch.no_grad():\n",
    "\n",
    "        for images, labels in test_loader:\n",
    "\n",
    "            outputs = model(images)\n",
    "            _, predicted = torch.max(outputs.data, 1)\n",
    "\n",
    "            total += labels.size(0)\n",
    "            correct += (predicted == labels).sum().item()\n",
    "\n",
    "            all_predictions.extend(predicted.cpu().numpy())\n",
    "            all_labels.extend(labels.cpu().numpy())\n",
    "\n",
    "    accuracy = 100 * correct / total\n",
    "    return accuracy, np.array(all_predictions), np.array(all_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "836f5c30",
   "metadata": {},
   "source": [
    "### 3.1. Calculate test accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "748c8a1d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 47.87%\n"
     ]
    }
   ],
   "source": [
    "test_accuracy, predictions, true_labels = evaluate_model(model, test_loader)\n",
    "print(f'Test accuracy: {test_accuracy:.2f}%')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9fa2bbf",
   "metadata": {},
   "source": [
    "### 3.2. Per-class accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "52761fa4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Per-class accuracy:\n",
      "------------------------------\n",
      "airplane    : 41.20%\n",
      "automobile  : 53.50%\n",
      "bird        : 37.00%\n",
      "cat         : 17.80%\n",
      "deer        : 46.40%\n",
      "dog         : 49.30%\n",
      "frog        : 61.10%\n",
      "horse       : 48.40%\n",
      "ship        : 70.70%\n",
      "truck       : 53.30%\n"
     ]
    }
   ],
   "source": [
    "# Calculate per-class accuracy\n",
    "class_correct = {name: 0 for name in class_names}\n",
    "class_total = {name: 0 for name in class_names}\n",
    "\n",
    "for pred, true in zip(predictions, true_labels):\n",
    "\n",
    "    class_name = class_names[true]\n",
    "    class_total[class_name] += 1\n",
    "\n",
    "    if pred == true:\n",
    "        class_correct[class_name] += 1\n",
    "\n",
    "print('Per-class accuracy:')\n",
    "print('-' * 30)\n",
    "\n",
    "for name in class_names:\n",
    "    acc = 100 * class_correct[name] / class_total[name]\n",
    "    print(f'{name:12s}: {acc:.2f}%')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "910f5350",
   "metadata": {},
   "source": [
    "### 3.4. Confusion matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e84a1028",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute confusion matrix\n",
    "cm = confusion_matrix(true_labels, predictions)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "ax.set_title('Confusion matrix')\n",
    "im = ax.imshow(cm, cmap='Blues')\n",
    "\n",
    "# Add labels\n",
    "ax.set_xticks(range(len(class_names)))\n",
    "ax.set_yticks(range(len(class_names)))\n",
    "ax.set_xticklabels(class_names, rotation=45, ha='right')\n",
    "ax.set_yticklabels(class_names)\n",
    "ax.set_xlabel('Predicted label')\n",
    "ax.set_ylabel('True label')\n",
    "\n",
    "# Add text annotations\n",
    "for i in range(len(class_names)):\n",
    "\n",
    "    for j in range(len(class_names)):\n",
    "        color = 'white' if cm[i, j] > cm.max() / 2 else 'black'\n",
    "        ax.text(j, i, str(cm[i, j]), ha='center', va='center', color=color)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6d3ca56",
   "metadata": {},
   "source": [
    "### 3.5. Predicted class probability distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccdefc29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x400 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get predicted probabilities for all test samples\n",
    "model.eval()\n",
    "all_probs = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    for images, _ in test_loader:\n",
    "        outputs = model(images)\n",
    "        probs = torch.softmax(outputs, dim=1)\n",
    "        all_probs.append(probs.cpu().numpy())\n",
    "\n",
    "all_probs = np.concatenate(all_probs, axis=0)\n",
    "\n",
    "# Plot probability distributions for each class\n",
    "fig, axes = plt.subplots(nrows=2, ncols=5, figsize=(12, 4))\n",
    "\n",
    "fig.suptitle('Predicted probability distributions by class', fontsize=14, y=1.02)\n",
    "fig.supxlabel('Predicted probability', fontsize=12)\n",
    "fig.supylabel('Count', fontsize=12)\n",
    "\n",
    "axes = axes.flatten()\n",
    "\n",
    "for i, (ax, class_name) in enumerate(zip(axes, class_names)):\n",
    "\n",
    "    # Get probabilities for this class across all samples\n",
    "    class_probs = all_probs[:, i]\n",
    "    \n",
    "    # Plot density using histogram with density normalization\n",
    "    ax.hist(class_probs, bins=50, color='black')\n",
    "    ax.set_title(class_name)\n",
    "    ax.set_xlim(0, 1)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cde6a48e",
   "metadata": {},
   "source": [
    "### 3.6. Evaluation curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0a392716",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Binarize true labels for one-vs-rest evaluation\n",
    "y_test_bin = label_binarize(true_labels, classes=range(len(class_names)))\n",
    "\n",
    "# Create figure with ROC and PR curves side by side\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n",
    "\n",
    "# Plot ROC curves for each class\n",
    "ax1.set_title('ROC curves (one-vs-rest)')\n",
    "\n",
    "for i, class_name in enumerate(class_names):\n",
    "    fpr, tpr, _ = roc_curve(y_test_bin[:, i], all_probs[:, i])\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    ax1.plot(fpr, tpr, label=class_name)\n",
    "\n",
    "ax1.plot([0, 1], [0, 1], 'k--', label='Random classifier')\n",
    "ax1.set_xlabel('False positive rate')\n",
    "ax1.set_ylabel('True positive rate')\n",
    "ax1.legend(loc='lower right', fontsize=12)\n",
    "ax1.set_xlim([0, 1])\n",
    "ax1.set_ylim([0, 1.05])\n",
    "\n",
    "# Plot Precision-Recall curves for each class\n",
    "ax2.set_title('Precision-recall curves (one-vs-rest)')\n",
    "\n",
    "for i, class_name in enumerate(class_names):\n",
    "    precision, recall, _ = precision_recall_curve(y_test_bin[:, i], all_probs[:, i])\n",
    "    ap = average_precision_score(y_test_bin[:, i], all_probs[:, i])\n",
    "    ax2.plot(recall, precision)\n",
    "\n",
    "# Random classifier baseline (horizontal line at class prevalence = 1/num_classes)\n",
    "baseline = 1 / len(class_names)\n",
    "ax2.axhline(y=baseline, color='k', linestyle='--')\n",
    "\n",
    "ax2.set_xlabel('Recall')\n",
    "ax2.set_ylabel('Precision')\n",
    "ax2.set_xlim([0, 1])\n",
    "ax2.set_ylim([0, 1.05])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "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
}
