{ "cells": [ { "cell_type": "code", "execution_count": 2, "id": "89460bc4-f207-4ef9-a290-edecba99ef33", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "\n", "# Настройка цветов и сетки\n", "l1_color = \"navy\"\n", "l2_color = \"c\"\n", "elastic_net_color = \"darkorange\"\n", "line = np.linspace(-1.5, 1.5, 1001)\n", "xx, yy = np.meshgrid(line, line)\n", "\n", "# Формулы штрафов\n", "l2 = xx**2 + yy**2\n", "l1 = np.abs(xx) + np.abs(yy)\n", "rho = 0.5\n", "elastic_net = rho * l1 + (1 - rho) * l2\n", "\n", "# Построение графика\n", "plt.figure(figsize=(8, 8), dpi=100)\n", "ax = plt.gca()\n", "\n", "elastic_net_contour = plt.contour(xx, yy, elastic_net, levels=[1], colors=elastic_net_color)\n", "l2_contour = plt.contour(xx, yy, l2, levels=[1], colors=l2_color)\n", "l1_contour = plt.contour(xx, yy, l1, levels=[1], colors=l1_color)\n", "\n", "ax.set_aspect(\"equal\")\n", "ax.spines[\"left\"].set_position(\"center\")\n", "ax.spines[\"right\"].set_color(\"none\")\n", "ax.spines[\"bottom\"].set_position(\"center\")\n", "ax.spines[\"top\"].set_color(\"none\")\n", "\n", "plt.clabel(elastic_net_contour, inline=1, fontsize=14, fmt={1.0: \"elastic-net\"}, manual=[(-1, -1)])\n", "plt.clabel(l2_contour, inline=1, fontsize=14, fmt={1.0: \"L2\"}, manual=[(-1, -1)])\n", "plt.clabel(l1_contour, inline=1, fontsize=14, fmt={1.0: \"L1\"}, manual=[(-1, -1)])\n", "\n", "plt.title(\"Линии уровня (контуры) штрафов = 1\")\n", "plt.tight_layout()\n", "plt.show()\n", "from sklearn.datasets import make_classification\n", "from sklearn.linear_model import SGDClassifier\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.model_selection import train_test_split\n", "\n", "\n", "# Генерация данных: 1000 объектов, 20 признаков (только 5 информативных)\n", "X_gen, y_gen = make_classification(\n", " n_samples=1000, \n", " n_features=20, \n", " n_informative=5, \n", " n_redundant=10, \n", " random_state=42\n", ")\n", "\n", "X_train_g, X_test_g, y_train_g, y_test_g = train_test_split(X_gen, y_gen, test_size=0.2, random_state=42)\n", "scaler_g = StandardScaler()\n", "X_train_g_scaled = scaler_g.fit_transform(X_train_g)\n", "X_test_g_scaled = scaler_g.transform(X_test_g)\n", "# Инициализация моделей\n", "sgd_l1 = SGDClassifier(loss='log_loss', penalty='l1', alpha=0.05, random_state=42)\n", "sgd_l2 = SGDClassifier(loss='log_loss', penalty='l2', alpha=0.05, random_state=42)\n", "sgd_en = SGDClassifier(loss='log_loss', penalty='elasticnet', l1_ratio=0.5, alpha=0.05, random_state=42)\n", "\n", "# Обучение\n", "sgd_l1.fit(X_train_g_scaled, y_train_g)\n", "sgd_l2.fit(X_train_g_scaled, y_train_g)\n", "sgd_en.fit(X_train_g_scaled, y_train_g)\n", "plt.figure(figsize=(12, 6))\n", "width = 0.5\n", "ind = np.arange(X_gen.shape[1])\n", "\n", "plt.bar(ind - width, sgd_l1.coef_[0], width, label='L1 Penalty', color=l1_color)\n", "plt.bar(ind, sgd_l2.coef_[0], width, label='L2 Penalty', color=l2_color)\n", "plt.bar(ind + width, sgd_en.coef_[0], width, label='Elastic-Net', color=elastic_net_color)\n", "\n", "plt.axhline(0, color='black', linewidth=0.8)\n", "plt.title(\"Значения весов модели для сгенерированного датасета\")\n", "plt.xlabel(\"Индекс признака\")\n", "plt.ylabel(\"Значение веса (Coefficient)\")\n", "plt.xticks(ind)\n", "plt.legend()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "a2db9b6b-06cb-43e6-860b-d6f1f72cace7", "metadata": {}, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'openml'", "output_type": "error", "traceback": [ "\u001b[31m---------------------------------------------------------------------------\u001b[39m", "\u001b[31mModuleNotFoundError\u001b[39m Traceback (most recent call last)", "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m openml\n\u001b[32m 2\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m sklearn.metrics \u001b[38;5;28;01mimport\u001b[39;00m accuracy_score\n\u001b[32m 3\u001b[39m \n\u001b[32m 4\u001b[39m \u001b[38;5;66;03m# Загрузка датасета Spambase (ID 44)\u001b[39;00m\n", "\u001b[31mModuleNotFoundError\u001b[39m: No module named 'openml'" ] } ], "source": [ "import openml\n", "from sklearn.metrics import accuracy_score\n", "\n", "# Загрузка датасета Spambase (ID 44)\n", "dataset = openml.datasets.get_dataset(44)\n", "X_real, y_real, _, _ = dataset.get_data(target=dataset.default_target_attribute)\n", "\n", "# Преобразование целевой переменной в числовой формат (0 и 1)\n", "y_real = y_real.astype(int)\n", "\n", "# Разбиение\n", "X_train_r, X_test_r, y_train_r, y_test_r = train_test_split(X_real, y_real, test_size=0.2, random_state=42)\n", "import openml\n", "from sklearn.metrics import accuracy_score\n", "\n", "# Загрузка датасета Spambase (ID 44)\n", "dataset = openml.datasets.get_dataset(44)\n", "X_real, y_real, _, _ = dataset.get_data(target=dataset.default_target_attribute)\n", "\n", "# Преобразование целевой переменной в числовой формат (0 и 1)\n", "y_real = y_real.astype(int)\n", "\n", "# Разбиение\n", "X_train_r, X_test_r, y_train_r, y_test_r = train_test_split(X_real, y_real, test_size=0.2, random_state=42)\n", "scaler_r = StandardScaler()\n", "X_train_r_scaled = scaler_r.fit_transform(X_train_r)\n", "X_test_r_scaled = scaler_r.transform(X_test_r)" ] }, { "cell_type": "code", "execution_count": null, "id": "21c823cf-63b5-4077-8387-1d3622262088", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.13.7" } }, "nbformat": 4, "nbformat_minor": 5 }