{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import torch\n", "import torch.nn as nn\n", "import torch.optim as optim\n", "from sklearn.model_selection import train_test_split\n", "from visual_eval import eval_binary_classification\n", "from tqdm import tqdm\n", "import os\n", "\n", "DATA_DIR = os.path.join(\"..\", \"data\")\n", "MODEL_DIR = os.path.join(\"..\", \"models\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/v8/0hd98b512cn3ms2rz146k7jw0000gn/T/ipykernel_10013/685274063.py:1: DtypeWarning: Columns (503,504,505) have mixed types. Specify dtype option on import or set low_memory=False.\n", " detailed_games_df = pd.read_csv(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 377608 entries, 0 to 377607\n", "Columns: 511 entries, Unnamed: 0 to ChalkSeedDiff\n", "dtypes: float64(455), int64(49), object(7)\n", "memory usage: 1.4+ GB\n" ] } ], "source": [ "detailed_games_df = pd.read_csv(\n", " os.path.join(DATA_DIR, \"AllSuperDetailedGames.csv\"),\n", ")\n", "\n", "detailed_games_df.info()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# join with 538 ratings\n", "detailed_games_df = detailed_games_df.merge(\n", " right=pd.read_csv(os.path.join(DATA_DIR, \"538\"))\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Split Mens & Womens data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "mens_games_df = detailed_games_df[detailed_games_df[\"League\"] == \"M\"]\n", "wmns_games_df = detailed_games_df[detailed_games_df[\"League\"] == \"W\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define Features, Targets, and register data on device" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# define the features and target for our models\n", "feature_cols = [\n", " # \"ChalkSeed\",\n", " # \"OppChalkSeed\",\n", " \"ChalkSeedDiff\",\n", " \"ScoreDiff mean reg\",\n", " \"FGMDiff mean reg\",\n", " \"FGM3Diff mean reg\",\n", " \"TODiff mean reg\",\n", " \"OppScore mean reg\",\n", " \"OppFGM mean reg\",\n", " \"OppFGM3 mean reg\",\n", " \"OppTO mean reg\",\n", "]\n", "\n", "target_cols = [\"Win\"]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# split into training and testing datasets\n", "mens_tourney_df = mens_games_df[mens_games_df[\"GameType\"] == \"tourney\"]\n", "MX_train, MX_test, My_train, My_test = train_test_split(\n", " mens_tourney_df[feature_cols],\n", " mens_tourney_df[target_cols],\n", " test_size=0.2,\n", " random_state=1,\n", ")\n", "\n", "# same for womens\n", "wmns_tourney_df = wmns_games_df[wmns_games_df[\"GameType\"] == \"tourney\"]\n", "WX_train, WX_test, Wy_train, Wy_test = train_test_split(\n", " wmns_tourney_df[feature_cols],\n", " wmns_tourney_df[target_cols],\n", " test_size=0.2,\n", " random_state=1,\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "mps\n" ] } ], "source": [ "# convert data to tensor objects and register to device\n", "# DEVICE = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n", "\n", "\n", "def get_device() -> str:\n", " if torch.cuda.is_available():\n", " return \"cuda\"\n", " if torch.backends.mps.is_available():\n", " return \"mps\"\n", " return \"cpu\"\n", "\n", "\n", "DEVICE = get_device()\n", "print(DEVICE)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "MX_train_T = torch.tensor(\n", " MX_train.astype(float).values,\n", " dtype=torch.float32,\n", ").to(DEVICE)\n", "\n", "MX_test_T = torch.tensor(\n", " MX_test.astype(float).values,\n", " dtype=torch.float32,\n", ").to(DEVICE)\n", "\n", "My_train_T = torch.tensor(\n", " My_train.astype(float).values,\n", " dtype=torch.float32,\n", ").to(DEVICE)\n", "\n", "My_test_T = torch.tensor(\n", " My_test.astype(float).values,\n", " dtype=torch.float32,\n", ").to(DEVICE)\n", "\n", "# # same for womens data\n", "WX_train_T = torch.tensor(\n", " WX_train.values,\n", " dtype=torch.float32,\n", ").to(DEVICE)\n", "\n", "WX_test_T = torch.tensor(\n", " WX_test.values,\n", " dtype=torch.float32,\n", ").to(DEVICE)\n", "\n", "Wy_train_T = torch.tensor(\n", " Wy_train.values,\n", " dtype=torch.float32,\n", ").to(DEVICE)\n", "\n", "Wy_test_T = torch.tensor(\n", " Wy_test.values,\n", " dtype=torch.float32,\n", ").to(DEVICE)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Generic Neural Network Framework\n", "\n", "I am using the same neural network structure for both the mens and womens data" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "num_features = len(feature_cols)\n", "\n", "\n", "class NiglNN(nn.Module):\n", " def __init__(self):\n", " super().__init__()\n", " self.activation_func = nn.Sigmoid()\n", " self.layer1 = nn.Linear(num_features, 64)\n", " self.layer2 = nn.Linear(64, 32)\n", " self.layer3 = nn.Linear(32, 16)\n", " self.layer4 = nn.Linear(16, 8)\n", " self.layer5 = nn.Linear(8, 4)\n", " self.layer6 = nn.Linear(4, 1)\n", "\n", " def forward(self, x: torch.Tensor):\n", " x = self.layer1(x)\n", " x = self.activation_func(x)\n", " x = self.layer2(x)\n", " x = self.activation_func(x)\n", " x = self.layer3(x)\n", " x = self.activation_func(x)\n", " x = self.layer4(x)\n", " x = self.activation_func(x)\n", " x = self.layer5(x)\n", " x = self.activation_func(x)\n", " x = self.layer6(x)\n", " x = self.activation_func(x)\n", " return x" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10000/10000 [01:46<00:00, 94.03epoch/s, BCE=0.641]\n" ] } ], "source": [ "# mens training loop\n", "torch.manual_seed(2)\n", "\n", "mens_nigl10k = NiglNN().to(DEVICE)\n", "loss_fn = nn.BCEWithLogitsLoss()\n", "optimizer = optim.Adam(lr=0.001, params=mens_nigl10k.parameters())\n", "\n", "epochs = 10_000\n", "with tqdm(range(1, epochs + 1), unit=\"epoch\") as epochs:\n", " for epoch in epochs:\n", " optimizer.zero_grad()\n", " pred = mens_nigl10k(MX_train_T)\n", " loss = loss_fn(pred, My_train_T)\n", " loss.backward()\n", " optimizer.step()\n", " epochs.set_postfix(BCE=loss.item())" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Binary Cross Entropy: 0.6580580472946167\n" ] }, { 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mens_nigl10k.eval()\n", "\n", "with torch.no_grad():\n", " pred = mens_nigl10k(MX_test_T)\n", " loss = loss_fn(pred, My_test_T)\n", " print(f\"Binary Cross Entropy: {loss.item()}\")\n", "\n", " pred_arr = pred.cpu().numpy().flatten()\n", " true_labels = My_test_T.cpu().numpy().flatten()\n", " eval_binary_classification(pred=pred_arr, true=true_labels)\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# save model because it is better than baseline\n", "torch.save(mens_nigl10k, os.path.join(MODEL_DIR, \"Mnn10k.pth\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Womens Neural Network" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10000/10000 [01:45<00:00, 95.08epoch/s, BCE=0.602]\n" ] } ], "source": [ "# use the same neural network architecture for the womens model\n", "torch.manual_seed(2)\n", "\n", "wmns_nigl10k = NiglNN().to(DEVICE)\n", "loss_fn = nn.BCEWithLogitsLoss()\n", "optimizer = optim.Adam(lr=0.001, params=wmns_nigl10k.parameters())\n", "\n", "epochs = 10_000\n", "with tqdm(range(1, epochs + 1), unit=\"epoch\") as epochs:\n", " for epoch in epochs:\n", " optimizer.zero_grad()\n", " pred = wmns_nigl10k(WX_train_T)\n", " loss = loss_fn(pred, Wy_train_T)\n", " loss.backward()\n", " optimizer.step()\n", " epochs.set_postfix(BCE=loss.item())" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "BCE: 0.6090894341468811\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "wmns_nigl10k.eval()\n", "\n", "with torch.no_grad():\n", " pred = wmns_nigl10k(WX_test_T)\n", " loss = loss_fn(pred, Wy_test_T)\n", " print(f\"BCE: {loss.item()}\")\n", "\n", " pred_arr = pred.cpu().numpy().flatten()\n", " true_labels = Wy_test_T.cpu().numpy().flatten()\n", " eval_binary_classification(pred=pred_arr, true=true_labels)\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "# save it because it is better than womens baseline model\n", "torch.save(wmns_nigl10k, os.path.join(MODEL_DIR, \"Wnn10k.pth\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Final Predictions" ] }, { "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": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 2 }