AI-learning/lab/2_liner-regression-multiply.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 引入库\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/wolves/Downloads/project/python/pt/lab\n"
     ]
    }
   ],
   "source": [
    "# 检查os位置\n",
    "print(os.getcwd())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "生成数据方式\n",
    "$$ x_1 = x, x_2 = x^2, x_3 = \\sqrt{x} $$\n",
    "$$ y = 1.35x_1 + 0.75x_2 + 2.1x_3 + 2.89 $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 生成数据\n",
    "def generate_data():\n",
    "    w = np.array([1.35, 0.75, 2.1])  # 权重\n",
    "    b = 2.89  # 偏置\n",
    "    x_min = 1\n",
    "    x_max = 9\n",
    "    x = np.linspace(x_min, x_max, 10) # 均匀分布\n",
    "    X = np.array([x, x**2, np.sqrt(x)])  # 特征矩阵3x10\n",
    "    y = np.dot(w, X) + b # 1x10 一维向量不区分行向量和列向量\n",
    "    y += np.random.normal(scale=0.5, size=y.shape)\n",
    "    data = np.column_stack((X.T, y)) # 10x4\n",
    "    return data\n",
    "\n",
    "# 保存数据\n",
    "def save_data(filename, data):\n",
    "    np.savetxt(filename, data, delimiter=',')\n",
    "    print(f\"{filename} 已成功创建并写入数据。\")\n",
    "\n",
    "# 生成并保存数据\n",
    "data = generate_data()\n",
    "#save_data('./1_data.txt', data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取数据\n",
    "#points = np.genfromtxt(\"./1_data.txt\", delimiter=',')\n",
    "\n",
    "scaler = StandardScaler()\n",
    "points = data\n",
    "\n",
    "m = len(points[:,0])\n",
    "x = points[:, :3] # 10x3\n",
    "y = points[:,3] # 1x10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "原函数：\n",
    "$$\n",
    "\\vec{w} = {\\begin{bmatrix} w_1 & w_2 & w_3 & \\cdots & w_n \\end{bmatrix}}^T\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\vec{x} = \\begin{bmatrix} x_1 & x_2 & x_3 & \\cdots & x_n \\end{bmatrix}\n",
    "$$\n",
    "\n",
    "$$\n",
    "f_{\\vec{w} \\cdot,b}(\\vec{x}) = \\vec{w} \\cdot \\vec{x} + b\n",
    "$$\n",
    "\n",
    "损失函数: \n",
    "\n",
    "$$\n",
    "\\text{MSE} = \\frac{1}{2m} \\sum_{i=1}^{m} \\left( y^{(i)} - \\hat{y}^{(i)} \\right)^2\n",
    "$$\n",
    "\n",
    "梯度下降：\n",
    "\n",
    "分别对每个w和b求偏导数，然后更新w和b\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# 定义损失函数\n",
    "def compute_loss(w, b):\n",
    "    return np.sum((y - (np.dot(w, x.T) + b)) ** 2) / (2 * m)   # w 1x3 x.T 3x10 y 1x10 y-np.dot(w, x.T) 1x10 sum=number\n",
    "\n",
    "# 定义梯度下降\n",
    "def gradient_descent(w, b, alpha, num_iter):\n",
    "    loss_history = []\n",
    "    for _ in range(num_iter):\n",
    "        error = y - np.dot(w, x.T) - b # 1x10\n",
    "        # 计算梯度\n",
    "        dw = -np.dot(x.T , error) / m  # dw 1x3 \n",
    "        db = -np.sum(error) / m  # db 1x1\n",
    "        # 更新w和b\n",
    "        w -= alpha * dw\n",
    "        b -= alpha * db\n",
    "        loss_history.append(compute_loss(w, b))\n",
    "    return w, b, loss_history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "w: [ 6.74308525 18.58329919 -1.16344888]\n",
      "b: 37.79916995636456\n",
      "loss: 0.22283060989193695\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3840x2880 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if __name__ == \"__main__\":\n",
    "        # 初始化w和b\n",
    "    w = np.zeros(x.shape[1])\n",
    "    b = 0.0\n",
    "    # 设置学习率\n",
    "    alpha = 0.01\n",
    "    # 设置迭代次数\n",
    "    num_iter = 10000\n",
    "    x = scaler.fit_transform(x) # 特征缩放\n",
    "    # 进行梯度下降\n",
    "    w, b, loss_history = gradient_descent(w, b, alpha, num_iter)\n",
    "    print(\"w:\", w)\n",
    "    print(\"b:\", b)\n",
    "    \n",
    "    # 计算损失\n",
    "    loss = compute_loss(w, b)\n",
    "    print(\"loss:\", loss)\n",
    "\n",
    "    # 绘制\n",
    "    plt.figure(dpi=600)\n",
    "    plt.plot(range(num_iter), loss_history)\n",
    "    plt.xlabel('Iteration')\n",
    "    plt.ylabel('Loss')\n",
    "    plt.title('Loss History')\n",
    "    # 显示学习率\n",
    "    plt.text(num_iter * 0.6, max(loss_history) * 0.7, f'Learning Rate: {alpha}', fontsize=12, color='blue')\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测值: [11.70402659 17.3020817  24.41357604]\n",
      "原始值: [11.55984848 17.3273067  24.49      ]\n"
     ]
    }
   ],
   "source": [
    "# 预测\n",
    "def predict(x, w, b):\n",
    "    x_scaled = scaler.transform(x)\n",
    "    y = np.dot(w, x_scaled.T) + b\n",
    "    return y\n",
    "\n",
    "def original_predict(x):\n",
    "    w = np.array([1.35, 0.75, 2.1])\n",
    "    b = 2.89\n",
    "    return np.dot(w, x.T) + b\n",
    "\n",
    "x_new = np.array([\n",
    "    [2, 4, np.sqrt(2)],\n",
    "    [3, 9, np.sqrt(3)],\n",
    "    [4, 16, np.sqrt(4)]\n",
    "])\n",
    "y_pred = predict(x_new, w, b)\n",
    "print(\"预测值:\", y_pred)\n",
    "y_pred_original = original_predict(x_new)\n",
    "print(\"原始值:\", y_pred_original)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 编码中遇到的错误\n",
    "\n",
    "梯度下降算法中，把x.T和error相乘了，正确应使用矩阵乘法。\n",
    "\n",
    "在特征缩放前，学习率大之后会overflow，导致模型不收敛。\n",
    "\n",
    "特征缩放后，由于代码写错，把结果也缩放了，导致后面预测时，结果不正确。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "使用sklearn预测值: [11.64087216 17.23308704 24.38469935]\n",
      "原始值: [11.55984848 17.3273067  24.49      ]\n",
      "训练数据的损失 (MSE): 0.008843469002214777\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "model = make_pipeline(LinearRegression())\n",
    "# 拟合模型\n",
    "model.fit(x, y)\n",
    "\n",
    "# 预测\n",
    "y_pred_sklearn = model.predict(scaler.transform(x_new))\n",
    "print(\"使用sklearn预测值:\", y_pred_sklearn)\n",
    "y_pred_original = original_predict(x_new)\n",
    "print(\"原始值:\", y_pred_original)\n",
    "# 计算并打印训练数据的损失（MSE）\n",
    "train_loss = mean_squared_error(y_pred_original, y_pred_sklearn)\n",
    "print(\"训练数据的损失 (MSE):\", train_loss)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pt",
   "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": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}