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ML/task14/Linear_Models_regression.ipynb
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2025-11-12 11:34:34 +03:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "sTB50uLM0a9o"
},
"source": [
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\" width=\"50\"/>\n",
"\n",
"# Машинное обучение. ВМК МГУ"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "0xg3G6bd0a9s"
},
"source": [
"# Практическое задание 3: Линейные модели: регрессия\n",
"\n",
"## Уровень: <font color='MediumSeaGreen'>**Исследовательский (Research)**</font>"
]
},
{
"cell_type": "markdown",
"source": [
"# О формате сдачи\n",
"\n",
"🔷 **<font color='plum'>При решении ноутбука используйте данный шаблон</font>**\n",
"\n",
" ✅ Можно добавлять новые ячейки любых типов\n",
" ❌ Не нужно удалять текстовые ячейки c разметкой частей ноутбука и формулировками заданий\n",
"\n",
"\n",
"🔷 **<font color='plum'>При оценивании задач учитывается код</font>**\n",
"\n",
" ✅ Задания, в которых необходим код, обычно помечаются фразами \"Your code here\"/\"Ваш код\" и аналогичными\n",
" ❌ Ответы на вопросы без сопутствующего кода оцениваются в 0 баллов\n",
" ❌ Наличе работоспособного кода в ноутбуке, если на сказано иного, обязательно\n",
"\n",
"🔷 **<font color='plum'>При оценивании задач учитываются выводы</font>**\n",
"\n",
" ✅ Задания, в которых необходимы выводы, обычно помечаются фразами Вывод\"/\"Ответ на вопрос\"/\"Ваш текст\" и аналогичными\n",
" ✅ Обычно выводы подразумевают под собой текстовый ответ (можно писать markdown, latex).\n",
" ✅ Сопутствующие изображения, графики, таблички - приветствуются!\n",
" ❌ При отсутствии выводов задание не засчитается на полный балл\n",
"\n",
"-----------\n",
"<font color=\"white\" style=\"opacity:0.2024\"></font>\n",
"\n",
"\n",
"\n",
"\n",
"\n"
],
"metadata": {
"id": "6ODl7_-1JoHQ"
}
},
{
"cell_type": "markdown",
"source": [
"Цель данного задания:\n",
"\n",
"* Узнать, что такое переобучение и как с ним бороться в линейных моделях;\n",
"* Понять, чем отличаются разные регуляризаторы;\n",
"* Научиться решать задачу регрессии линейными моделями.\n",
"-------\n",
"<font color=DarkOrange>**Примерное время выполнения (execution time/время выполнения, если нажать run all) всех ячеек ноутбука при правильной реализации: 7 минут </font>**"
],
"metadata": {
"id": "H0Lj_c63lrku"
}
},
{
"cell_type": "markdown",
"source": [
"# Подготовка рабочей среды\n",
"\n",
"Сначала установим нужные нам версии библиотек. Мы гарантируем, что в данных версиях задание будет корректно отрабатывать.\n",
"\n",
"После установки нужных версий, **возможно,** нужно перезагрузить среду (runtime), но скорее всего вам это не понадобится\n",
"\n",
"\n",
"На скачивание файла и установку понадобится не более 5 минут.\n",
"\n",
"<font color='OrangeRed'>**Важно!**</font>\n",
"\n",
"Устанавливать нужные версии нужно каждый раз, когда создается новый рантайм. Например, если вы 2 часа подряд делаете это задание, то подготовить библиотеки достаточно 1 раз. Но если вы, например, начали в понедельник, затем закрыли/выключили ноутбук, то при продолжении в среду, вам нужно будет запустить рантайм заново и следовательно заново установить библиотеки.\n",
"\n",
"<font color='OrangeRed'>**Важно!**</font>\n",
"Если вы предпочитаете делать практические задания на своем личном ноутбуке, то проверьте, что вы установили рабочее окружение в [соответствии с гайдом](https://github.com/MSU-ML-COURSE/ML-COURSE-24-25/blob/main/tutorials/%D0%A2%D1%83%D1%82%D0%BE%D1%80%D0%B8%D0%B0%D0%BB%20%D0%BF%D0%BE%20%D1%83%D1%81%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%BA%D0%B5%20%D1%80%D0%B0%D0%B1%D0%BE%D1%87%D0%B5%D0%B3%D0%BE%20%D0%BE%D0%BA%D1%80%D1%83%D0%B6%D0%B5%D0%BD%D0%B8%D1%8F%20%D0%B2%20Python%20%D0%B4%D0%BB%D1%8F%20%D1%80%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D1%8F%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%20(2).pdf)\n"
],
"metadata": {
"id": "d4sbAeC--5gV"
}
},
{
"cell_type": "code",
"source": [
"from sklearn.metrics import mean_squared_error\n",
"# !!! Данный блок будет работать только в Google-Colab !!!\n",
"! gdown 10k8Hwn9kpK9SpK4IEj4-EaWQZqgYT5-Q\n",
"! pip install -r /content/requirements_2024_25_for_colab_small.txt"
],
"metadata": {
"id": "hQLVkvfL-5gW"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Проверим версию библиотеки:"
],
"metadata": {
"id": "vUCY0KLD7VmA"
}
},
{
"cell_type": "code",
"source": [
"import catboost\n",
"\n",
"assert (catboost.__version__ == '1.2.7')"
],
"metadata": {
"id": "CIWS5lZ3-5gX",
"jupyter": {
"is_executing": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": [
"Теперь можно приступать к выполнению задания! :)"
],
"metadata": {
"id": "eC9VrV8G-5gX"
}
},
{
"cell_type": "markdown",
"source": [
"-----------\n",
"<font color=\"white\" style=\"opacity:0.2024\"></font>"
],
"metadata": {
"id": "y39N4E_B-5gX"
}
},
{
"cell_type": "code",
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import warnings\n",
"\n",
"warnings.simplefilter(\"ignore\")\n",
"sns.set(style=\"darkgrid\")\n",
"%matplotlib inline"
],
"metadata": {
"id": "Gc3xTMopl8c1",
"ExecuteTime": {
"end_time": "2024-11-15T17:40:36.846900Z",
"start_time": "2024-11-15T17:40:36.821616Z"
}
},
"outputs": [],
"execution_count": 2
},
{
"cell_type": "markdown",
"metadata": {
"id": "cLTHFUz40a9w"
},
"source": [
"## Линейная регрессия и регуляризация"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "PGuTcL0H0a9w"
},
"source": [
"Напомним, что линейная регрессия — это модель следующего вида: $$a(x) = \\langle w, x \\rangle + b$$ где $w \\in \\mathbb{R}^d$, $b \\in \\mathbb{R}$. Обучить линейную регрессию — значит найти $w$ и $b$."
]
},
{
"cell_type": "markdown",
"source": [
"В модели линейной регрессии с $l_2$ регуляризацией мы оптимизируем следующий функционал:\n",
"\n",
"$\\frac{1}{N} \\cdot ∑_{i=1}^M (w_1 \\cdot x_{i1} + \\dots w_n \\cdot x_{in} + b - y_i)^2 + \\frac{\\alpha}{2} \\cdot \\left( w_1^2 + \\dots + w_n^2 \\right) \\rightarrow \\min_{w_1, \\dots, w_n, b}$\n",
"\n",
"В модели линейной регрессии с $l_1$ регуляризацией мы оптимизируем следующий функционал:\n",
"\n",
"$\\frac{1}{N} \\cdot ∑_{i=1}^M (w_1 \\cdot x_{i1} + \\dots w_n \\cdot x_{in} + b - y_i)^2 + \\alpha \\cdot \\left( |w_1| + \\dots + |w_n| \\right) \\rightarrow \\min_{w_1, \\dots, w_n, b}$"
],
"metadata": {
"id": "7ee6L2lk4dBV"
}
},
{
"cell_type": "markdown",
"source": [
"### <font color='DarkOrange'>**Задание 1 [1 балл]**</font>\n",
"\n",
"Почему при обучении линейных моделей, коэффициент $b$ не регуляризуется? Дайте ответ с опорой на лекции. Возможно вам также поможет картика из базовой части"
],
"metadata": {
"id": "yBXvREbq6J33"
}
},
{
"cell_type": "markdown",
"source": [
"<font color='MediumOrchid'>**Ваши выводы тут:**</font>\n",
"\n",
"Потому что в случае, если бы коэффициент $b$ также регуляризовывался, то модели было бы сложно подстраиваться под новые данные, так как они могут быть смещены относительно оси Y на другое значение\n",
"\n",
"Если говорить конкретнее, то:\n",
"1. Смещение $b$ независимо от значений признаков и добавляется отдельно ==> его резуляризация не несёт пользы\n",
"2. Регуляризация применяется, чтобы снизить сложность модели и избежать переобучения, однако $b$ не влияет на сложность модели, а значит не требует регуляризации"
],
"metadata": {
"id": "Iqj_cwbV_vEL"
}
},
{
"cell_type": "markdown",
"source": [
"-----\n",
"<font color=\"white\" style=\"opacity:0.2023\"></font>"
],
"metadata": {
"id": "Md8-JjM68ZUe"
}
},
{
"cell_type": "markdown",
"source": [
"Рассмотрим модель линейной регрессии с $l_2$ регуляризацией. В sklearn эта модель реализована посредством класса Ridge. В нём есть методы fit и predict. Первый принимает на вход обучающую выборку и вектор целевых переменных и обучает модель, второй, будучи вызванным после обучения модели, возвращает предсказание на выборке."
],
"metadata": {
"id": "HND8s6ee6h0P"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "oMjk5Dty0a92"
},
"source": [
"Сгенерируем случайные данные. Пусть $x$ будет обычным числом из равномерного распределения, а $𝑦=0.5 \\cdot x + 0.1$ &mdash; целевая переменная. При этом наблюдаем мы $\\overline{y} = y + \\varepsilon,~\\varepsilon \\sim N(0, 0.01)$. Добавим в данные к переменной $x$ её же умноженную на $3$. То есть, теперь у нас два признака $x_1$ и $x_2 = 3 \\cdot x_1$."
]
},
{
"cell_type": "markdown",
"source": [
"Поскольку $y = c \\cdot 0.5 \\cdot x_1 + \\frac{1 - c}{6} \\cdot x_2 + 0.1$, где $c$ любое сколь угодно большое вещественное число. То, как мы могли убедиться в базовой части, без регуляризации есть риск выучить очень большие веса."
],
"metadata": {
"id": "X66mK63v-BI0"
}
},
{
"cell_type": "markdown",
"source": [
"Посмотрим, как меняется значения весов, в зависимости от значения коэффициента регуляризации."
],
"metadata": {
"id": "O1ogDSg798EZ"
}
},
{
"cell_type": "code",
"source": [
"from sklearn.linear_model import Ridge"
],
"metadata": {
"id": "icTp30Uj7pJn",
"ExecuteTime": {
"end_time": "2024-11-15T17:40:37.237981Z",
"start_time": "2024-11-15T17:40:37.021547Z"
}
},
"outputs": [],
"execution_count": 3
},
{
"cell_type": "code",
"source": [
"np.random.seed(1)\n",
"X = np.random.uniform(0, 1, 100)\n",
"Y = X * 0.5 + 0.1 + np.random.randn(100) * 0.1\n",
"\n",
"X3 = np.hstack((X[:, None], 3 * X[:, None]))\n",
"Y3 = X3[:, 0] * 0.5 + 0.1 + np.random.randn(100) * 0.1"
],
"metadata": {
"id": "cidgDWJf7o83",
"ExecuteTime": {
"end_time": "2024-11-15T17:40:37.284590Z",
"start_time": "2024-11-15T17:40:37.276157Z"
}
},
"outputs": [],
"execution_count": 4
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 653
},
"id": "7YIxYW8T0a92",
"outputId": "17c380cc-7cb6-460f-fd7f-c7332a1cdb31",
"ExecuteTime": {
"end_time": "2024-11-15T17:40:39.786740Z",
"start_time": "2024-11-15T17:40:38.430509Z"
}
},
"source": [
"w1 = []\n",
"w2 = []\n",
"\n",
"alphas = [0.01, 0.1, 1, 10, 100, 1000]\n",
"\n",
"for alpha in alphas:\n",
" reg = Ridge(alpha=alpha)\n",
" reg.fit(X3, Y3)\n",
" w1.append(reg.coef_[0])\n",
" w2.append(reg.coef_[1])\n",
"\n",
"w1 = np.array(w1)\n",
"w2 = np.array(w2)\n",
"\n",
"fig, axs = plt.subplots(figsize=(14, 7), ncols=2)\n",
"axs[0].plot(alphas, w1, label=\"w1\")\n",
"axs[0].plot(alphas, w2, label=\"w2\")\n",
"axs[0].set_xscale(\"log\")\n",
"axs[0].set_title(\"Веса регрессии при разных alpha\")\n",
"axs[0].set_xlabel(\"alpha\")\n",
"axs[0].set_ylabel(\"Значение весов\")\n",
"axs[0].legend()\n",
"axs[1].plot(alphas, w2 / w1, label=\"отношение w2 к w1\", linewidth=10)\n",
"axs[1].plot([0.01, 1000], [3, 3], label=\"отношение x2 к x1\", linestyle=\"--\", linewidth=8)\n",
"axs[1].set_xscale(\"log\")\n",
"axs[1].set_ylim(2, 4)\n",
"axs[1].set_xlabel(\"alpha\")\n",
"axs[1].set_ylabel(\"Значение отношения\")\n",
"axs[1].set_title(\"Отношение весов\")\n",
"axs[1].legend()\n",
"plt.show()"
],
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 1400x700 with 2 Axes>"
],
"image/png": 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},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 5
},
{
"cell_type": "markdown",
"metadata": {
"id": "C9EKJVTi0a92"
},
"source": [
"### <font color='DarkOrange'>**Задание 2 [2 баллa]**</font>\n",
"\n",
"Как думаете, почему отношение между весами постоянно? (подсказка, необходимо выписать функцию потерь и посчитать производные по весам)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oqvdO95D0a93"
},
"source": [
"Функция потерь имеет следующий вид:\n",
"$J(w) = \\sum_{i=1}^{n} (y_i - (w_1 x_{1i} + w_2 x_{2i}))^2 + \\alpha (w_1^2 + w_2^2)$\n",
"\n",
"Считая производные, получим:\n",
"1. $\\frac{\\partial J}{\\partial w_1} = -2 \\sum_{i=1}^{n} x_{1i} (y_i - (w_1 x_{1i} + w_2 x_{2i})) + 2 \\alpha w_1 = 0$\n",
"2. $\\frac{\\partial J}{\\partial w_2} = -2 \\sum_{i=1}^{n} x_{2i} (y_i - (w_1 x_{1i} + w_2 x_{2i})) + 2 \\alpha w_2 = 0$\n",
"\n",
"Если рассматривать конкретно наши данные ($x_2=3*x_1$), то получим:\n",
"1. $\\frac{\\partial J}{\\partial w_1} = -2 \\sum_{i=1}^{n} x_{1i} (y_i - (w_1 x_{1i} + 3 w_2 x_{1i})) + 2 \\alpha w_1 = 0$\n",
"2. $\\frac{\\partial J}{\\partial w_2} = -2 \\sum_{i=1}^{n} 3 x_{1i} (y_i - (w_1 x_{1i} + 3 w_2 x_{1i})) + 2 \\alpha w_2 = 0$\n",
"\n",
"Если произвести следующие вычисления: $3\\frac{\\partial J}{\\partial w_1} -\\frac{\\partial J}{\\partial w_2}=6 \\alpha w_1- 2\\alpha w_2$\n",
"\n",
"Получаем, что веса зависят друг от друга также, как и коэффициенты, т.е. 1 к 3.\n",
"\n",
"Это объясняет постоянство отношения весов с ростом $\\alpha$"
]
},
{
"cell_type": "markdown",
"source": [
"-----\n",
"<font color=\"white\" style=\"opacity:0.2023\"></font>"
],
"metadata": {
"id": "49ZLe4IeK5WE"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "hhiWDj0P0a93"
},
"source": [
"Заметим, что при $l_2$ регуляризации в данном примере веса получились пропорциональны значениям признаков. При этом, мы знаем, что оба признака взаимно однозначны, и прогноз можно делать только по одному из них. Для этого придумана $l_1$ регуляризация. В билиотеке sklearn линейная регрессия с $l_1$ регуляризацией реализована в классе Lasso"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MLs7j7dL0a93"
},
"source": [
"### <font color='DarkOrange'>**Задание 3 [2 баллa]**</font>\n",
"\n",
"Почему в нашем примере $l_1$ регуляризация приведёт к разреживанию весов? (подсказка, нужно опять подсчитать производную, но обратите внимание на дифференцируемость модуля)."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "se90tJIm0a93"
},
"source": [
"<font color='MediumOrchid'>**Ваши выводы тут:**</font>\n",
"\n",
"Изначальная функция имеет вид: $J(w) = \\sum_{i=1}^{n} (y_i - (w_1 x_{1i} + w_2 x_{2i}))^2 + \\alpha (|w_1| + |w_2|)$\n",
"\n",
"Снова возьмём производную:\n",
"1. $\\frac{\\partial J}{\\partial w_1} = -2 \\sum_{i=1}^{n} x_{1i} \\left( y_i - (w_1 + 3w_2) x_{1i} \\right) + \\alpha \\cdot \\text{sign}(w_1)$\n",
"2. $\\frac{\\partial J}{\\partial w_2} = -2 \\sum_{i=1}^{n} 3x_{1i} \\left( y_i - (w_1 + 3w_2) x_{1i} \\right) + \\alpha \\cdot \\text{sign}(w_2)$\n",
" * $\\text{sign}(w_i)$ - знак $i-го$ веса\n",
"\n",
"\n",
"Почему у нас зануляются веса:\n",
"1. Во всех точках, кроме $w_i=0$ у нас идёт постоянное стремление к уменьшению весов\n",
"2. Так как в точке 0 у нас не определена производная, то это потенциальная точка для остановки\n",
"3. Так как веса получаются линейно зависимыми, то вес может занулится, а весь вклад, который он вносил,перейдёт на первый вес\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"source": [
"-----"
],
"metadata": {
"id": "WJMbvsfFK8pc"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "gGRzji4H0a93"
},
"source": [
"Добавим $l_1$ регуляризацию и посмотрим, как меняется значения весов, в зависимости от значения коэффициента регуляризации."
]
},
{
"cell_type": "code",
"source": [
"from sklearn.linear_model import Lasso"
],
"metadata": {
"id": "wwHDV57OFYWc",
"ExecuteTime": {
"end_time": "2024-11-15T17:40:42.290351Z",
"start_time": "2024-11-15T17:40:42.281571Z"
}
},
"outputs": [],
"execution_count": 6
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "bLRyD9MJ0a93",
"outputId": "6e6345ec-4810-412c-e79a-596d07b7812c",
"ExecuteTime": {
"end_time": "2024-11-15T17:40:46.915130Z",
"start_time": "2024-11-15T17:40:46.899051Z"
}
},
"source": [
"reg = Lasso(alpha=1., max_iter=1000, tol=1e-4)\n",
"reg.fit(X3, Y3)\n",
"print(\"Веса, при alpha = 1.\")\n",
"print(\"w1:\", reg.coef_[0], \"\\tw2:\", reg.coef_[1])\n",
"print()\n",
"\n",
"reg = Lasso(alpha=0.1, max_iter=1000, tol=1e-4)\n",
"reg.fit(X3, Y3)\n",
"print(\"Веса, при alpha = 0.1\")\n",
"print(\"w1:\", reg.coef_[0], \"\\tw2:\", reg.coef_[1])\n",
"print()\n",
"\n",
"reg = Lasso(alpha=0.01, max_iter=1000, tol=1e-4)\n",
"reg.fit(X3, Y3)\n",
"print(\"Веса, при alpha = 0.01\")\n",
"print(\"w1:\", reg.coef_[0], \"\\tw2:\", reg.coef_[1])\n",
"print()\n",
"\n",
"reg = Lasso(alpha=0.001, max_iter=1000, tol=1e-4)\n",
"reg.fit(X3, Y3)\n",
"print(\"Веса, при alpha = 0.001\")\n",
"print(\"w1:\", reg.coef_[0], \"\\tw2:\", reg.coef_[1])\n",
"print()\n",
"\n",
"reg = Lasso(alpha=0.0001, max_iter=1000, tol=1e-4)\n",
"reg.fit(X3, Y3)\n",
"print(\"Веса, при alpha = 0.0001\")\n",
"print(\"w1:\", reg.coef_[0], \"\\tw2:\", reg.coef_[1])\n",
"print()\n",
"\n",
"reg = Lasso(alpha=0.00001, max_iter=1000, tol=1e-4)\n",
"reg.fit(X3, Y3)\n",
"print(\"Веса, при alpha = 0.00001\")\n",
"print(\"w1:\", reg.coef_[0], \"\\tw2:\", reg.coef_[1])\n",
"print()"
],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Веса, при alpha = 1.\n",
"w1: 0.0 \tw2: 0.0\n",
"\n",
"Веса, при alpha = 0.1\n",
"w1: 0.0 \tw2: 0.029684463509327023\n",
"\n",
"Веса, при alpha = 0.01\n",
"w1: 0.0 \tw2: 0.14506160917248503\n",
"\n",
"Веса, при alpha = 0.001\n",
"w1: 0.0 \tw2: 0.1565993237388008\n",
"\n",
"Веса, при alpha = 0.0001\n",
"w1: 0.0 \tw2: 0.15775309519543243\n",
"\n",
"Веса, при alpha = 0.00001\n",
"w1: 0.39668731991454986 \tw2: 0.025639365702912618\n",
"\n"
]
}
],
"execution_count": 7
},
{
"cell_type": "markdown",
"metadata": {
"id": "sVlEPN8M0a94"
},
"source": [
"### <font color='DarkOrange'>**Задание 4 [2 баллa]**</font>\n",
"\n",
"Почему в итоге при $\\alpha = 0.00001$ получились веса не равные нулю?"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "gG3RGBp90a94"
},
"source": [
"<font color='LightSteelBlue'>**Подсказка**</font>\n",
"\n",
" Обратите внимание на то, каким странным получился вес $w_2$"
]
},
{
"cell_type": "markdown",
"source": [
"<font color='MediumOrchid'>**Ваши выводы тут:**</font>\n",
"\n",
"Так как штраф за наличие весов (коэф. $\\alpha$) весьма низок, то модель не считает его значительным, чтобы занулять. \n",
"\n",
"Пояснение:\n",
"1. Оба веса вносят некоторый вклад в улучшение качества модели\n",
"2. Если коэффициент $\\alpha$ не вносит достаточного штрафа, то модель не будет искать имеющуюся зависимость между весами, предпочитая оставить вес ненулевым\n",
"3. Хоть вес $w_2$ и не ноль, он всё равно весьма мал, так что основной вклад, как и раньше, вносится вторым весов\n",
"4. При увеличении числа итераций, веса могут занулиться, так как даже с практически отсутствующей регуляризацией модель сможет найти зависимость.\n",
" * При выполнении приведённого ниже кода видно, что при увеличении числа итераций модель всё-таки зануляет один из весов ==> она дообучилась.\n",
" * Изначально кол-ва итераций не хватило, так как модель была слишком сложной для таких простых данных (из-за малого $\\alpha$ и слабой регуляризации, которая как раз и уменьшает сложность модели)"
],
"metadata": {
"id": "EgY01lIqALZO"
}
},
{
"cell_type": "code",
"metadata": {
"id": "XHeValDp0a94",
"ExecuteTime": {
"end_time": "2024-11-15T17:47:20.498210Z",
"start_time": "2024-11-15T17:47:20.479209Z"
}
},
"source": [
"reg = Lasso(alpha=0.00001, max_iter=10000, tol=1e-4)\n",
"reg.fit(X3, Y3)\n",
"print(\"Веса, при alpha = 0.00001\")\n",
"print(\"w1:\", reg.coef_[0], \"\\tw2:\", reg.coef_[1])\n",
"print()"
],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Веса, при alpha = 0.00001\n",
"w1: 0.0 \tw2: 0.15786847234109586\n",
"\n"
]
}
],
"execution_count": 8
},
{
"cell_type": "markdown",
"source": [
"-----"
],
"metadata": {
"id": "O6QiwnxuLBLL"
}
},
{
"cell_type": "markdown",
"source": [
"В предущих блоках мы использовали модельные примеры, в которых $y$ зависел от $x$ линейно. Но так бывает далеко не всегда.\n",
"\n",
"### <font color='DarkOrange'>**Задание 5 [1 баллa]**</font>\n",
"\n",
" Придумайте, сгенерируйте и визуализируйте пример, в котором линейная регрессия будет плохо классифицировать данные."
],
"metadata": {
"id": "KgKtO4HPLPsh"
}
},
{
"cell_type": "code",
"source": [
"from sklearn.model_selection import train_test_split\n",
"from sklearn.metrics import mean_squared_error\n",
"\n",
"\n",
"def generate_polynomial_data(n_samples):\n",
" X = np.linspace(-10, 10, n_samples)\n",
" coeffs = [-1, 3, 2] # Коэффициенты для x^2, x^1, x^0\n",
" y = np.polyval(coeffs, X) + np.random.uniform(0, 1, n_samples)\n",
" X = X.reshape(-1, 1)\n",
" return X, y\n",
"\n",
"\n",
"# Генерация 500 образцов\n",
"X4, Y4 = generate_polynomial_data(500)\n",
"X4_train, X4_test, Y4_train, Y4_test = train_test_split(X4, Y4, test_size=0.2, random_state=50)\n",
"\n",
"reg = Ridge(alpha=0.1)\n",
"reg.fit(X4_train, Y4_train)\n",
"Y4_pred = reg.predict(X4_test)\n",
"print(\"MSE для нашей модели: \", mean_squared_error(Y4_test, Y4_pred))\n",
"\n",
"plt.figure(figsize=(18, 6))\n",
"\n",
"# Линейная регрессия без полинома\n",
"plt.subplot(1, 3, 1)\n",
"plt.scatter(X4, Y4, color='blue', label='Данные')\n",
"plt.scatter(X4_test, Y4_pred, color='red', label='Предсказание модели')\n",
"plt.xlabel('Признак X')\n",
"plt.ylabel('Целевая переменная y')\n",
"plt.title('Данные с полиномиальной зависимостью')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"plt.tight_layout()\n",
"plt.show()"
],
"metadata": {
"id": "gT9UwrRHMVmW",
"ExecuteTime": {
"end_time": "2024-11-15T19:24:07.968389Z",
"start_time": "2024-11-15T19:24:07.431850Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"MSE для нашей модели: 805.0142195307291\n"
]
},
{
"data": {
"text/plain": [
"<Figure size 1800x600 with 1 Axes>"
],
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 69
},
{
"cell_type": "markdown",
"source": [
"### <font color='DarkOrange'>**Задание 6 [2 баллa]**</font>\n",
"\n",
"Приведите искусственный пример (можно даже очень неправдоподобный), когда линейная регрессия с $l_2$ регуляризацией гарантированно занулит какой-нибудь признак? Покажите (теоретически или программно), что признак действительно зануляется\n"
],
"metadata": {
"id": "RayRFAUQ8_im"
}
},
{
"cell_type": "code",
"source": [
"X1 = np.random.randn(100, 1)\n",
"X2 = np.ones((100, 1))*10\n",
"Y = 3 * X1\n",
"X = np.hstack((X1, X2))\n",
"ridge = Ridge(alpha=0.5)\n",
"ridge.fit(X, Y)\n",
"\n",
"print(\"Коэффициенты Ridge-регрессии:\")\n",
"print(f\"w1 (X1): {ridge.coef_[0][0]:.4f}\")\n",
"print(f\"w2 (X2): {ridge.coef_[0][1]}\")"
],
"metadata": {
"id": "Gw3c956KAdel",
"ExecuteTime": {
"end_time": "2024-11-15T19:18:54.506544Z",
"start_time": "2024-11-15T19:18:54.486775Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Коэффициенты Ridge-регрессии:\n",
"w1 (X1): 2.9841\n",
"w2 (X2): 0.0\n"
]
}
],
"execution_count": 67
},
{
"cell_type": "markdown",
"source": [
"<font color='MediumOrchid'>**Ваши выводы тут:**</font>\n",
"\n",
"В случае, если один из признаков является константным, то модель занулит его.\n",
"\n",
"Это связано с тем, что при взятии производной, мы будем получать 0, что и приведёт к занулению признака."
],
"metadata": {
"id": "6zxO0gPaAWyl"
}
},
{
"cell_type": "markdown",
"source": [
"**Выводы** В первой части задания по линейным моделям мы должны были узнать:\n",
".\n",
"\n",
"1. Зачем нужна регуляризация.\n",
"2. Как отбирать значащие признаки.\n",
"3. Когда линейные модели работают хорошо, а когда плохо\n",
"\n",
"-----\n",
"<font color=\"white\" style=\"opacity:0.2023\"></font>\n",
"\n",
"Во **второй части** мы будем применять линейные модели для классификации реальных данных, где мы сможем проверить наши выводы, полученные на искуственных примерах. А также убедимся в полезности нормировки и научимся работать с разными видами данных.\n"
],
"metadata": {
"id": "QU7Z9Ku8ycY_"
}
}
],
"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": "3.7.3"
},
"colab": {
"provenance": []
}
},
"nbformat": 4,
"nbformat_minor": 0
}