{"id":6081,"date":"2024-05-29T19:14:08","date_gmt":"2024-05-29T11:14:08","guid":{"rendered":"https:\/\/t.n-years.com\/?p=6081"},"modified":"2024-05-29T19:14:09","modified_gmt":"2024-05-29T11:14:09","slug":"sklearn-%e6%80%8e%e4%b9%88%e5%81%9a%e7%89%b9%e5%be%81%e5%b7%a5%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/t.n-years.com\/?p=6081","title":{"rendered":"sklearn \u600e\u4e48\u505a\u7279\u5f81\u5de5\u7a0b"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">\u7279\u5f81\u5de5\u7a0b\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u81f3\u5173\u91cd\u8981\u7684\u4e00\u90e8\u5206\uff0c\u5b83\u6d89\u53ca\u5230\u5c06\u539f\u59cb\u6570\u636e\u8f6c\u6362\u6210\u9002\u5408\u6a21\u578b\u8bad\u7ec3\u7684\u7279\u5f81\u96c6\u5408\u3002\u826f\u597d\u7684\u7279\u5f81\u5de5\u7a0b\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\uff0c\u52a0\u901f\u8bad\u7ec3\u8fc7\u7a0b\uff0c\u5e76\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u7279\u5f81\u5de5\u7a0b\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u7279\u5f81\u9009\u62e9\uff08Feature Selection\uff09<\/strong>\uff1a\u4ece\u539f\u59cb\u6570\u636e\u4e2d\u9009\u62e9\u6700\u76f8\u5173\u7684\u7279\u5f81\uff0c\u53bb\u9664\u65e0\u7528\u6216\u5197\u4f59\u7684\u7279\u5f81\uff0c\u4ee5\u51cf\u5c11\u6a21\u578b\u590d\u6742\u5ea6\u548c\u63d0\u9ad8\u6cdb\u5316\u80fd\u529b\u3002<\/li>\n\n\n\n<li><strong>\u7279\u5f81\u63d0\u53d6\uff08Feature Extraction\uff09<\/strong>\uff1a\u4ece\u539f\u59cb\u6570\u636e\u4e2d\u63d0\u53d6\u65b0\u7684\u7279\u5f81\uff0c\u901a\u5e38\u901a\u8fc7\u964d\u7ef4\u6280\u672f\uff08\u5982\u4e3b\u6210\u5206\u5206\u6790\uff09\u6216\u8005\u4ece\u539f\u59cb\u7279\u5f81\u4e2d\u751f\u6210\u66f4\u6709\u610f\u4e49\u7684\u7279\u5f81\u6765\u5b9e\u73b0\u3002<\/li>\n\n\n\n<li><strong>\u7279\u5f81\u8f6c\u6362\uff08Feature Transformation\uff09<\/strong>\uff1a\u5bf9\u539f\u59cb\u7279\u5f81\u8fdb\u884c\u53d8\u6362\uff0c\u4f7f\u5f97\u6570\u636e\u66f4\u9002\u5408\u6a21\u578b\u7684\u9700\u6c42\uff0c\u4f8b\u5982\u5bf9\u6570\u8f6c\u6362\u3001\u5f52\u4e00\u5316\u3001\u6807\u51c6\u5316\u7b49\u3002<\/li>\n\n\n\n<li><strong>\u7279\u5f81\u521b\u9020\uff08Feature Creation\uff09<\/strong>\uff1a\u57fa\u4e8e\u539f\u59cb\u7279\u5f81\u8fdb\u884c\u7ec4\u5408\u6216\u8005\u884d\u751f\u65b0\u7684\u7279\u5f81\uff0c\u4ee5\u589e\u5f3a\u6a21\u578b\u5bf9\u6570\u636e\u7684\u8868\u793a\u80fd\u529b\u3002<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728 scikit-learn \u4e2d\uff0c\u7279\u5f81\u5de5\u7a0b\u53ef\u4ee5\u901a\u8fc7\u4e00\u7cfb\u5217\u7684\u9884\u5904\u7406\u65b9\u6cd5\u548c\u8f6c\u6362\u5668\u6765\u5b8c\u6210\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u7279\u5f81\u5de5\u7a0b\u6280\u672f\u4ee5\u53ca\u5728 scikit-learn \u4e2d\u7684\u5b9e\u73b0\u65b9\u5f0f\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6807\u51c6\u5316\u548c\u5f52\u4e00\u5316<\/strong>\uff1a\u4f7f\u7528 <code>StandardScaler<\/code> \u6216 <code>MinMaxScaler<\/code> \u8fdb\u884c\u7279\u5f81\u7684\u6807\u51c6\u5316\u6216\u5f52\u4e00\u5316\u5904\u7406\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.preprocessing import StandardScaler, MinMaxScaler\n\nscaler = StandardScaler()\nX_scaled = scaler.fit_transform(X)<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li><strong>One-Hot \u7f16\u7801<\/strong>\uff1a\u4f7f\u7528 <code>OneHotEncoder<\/code> \u5c06\u5206\u7c7b\u53d8\u91cf\u8f6c\u6362\u4e3a\u4e8c\u8fdb\u5236\u5f62\u5f0f\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.preprocessing import OneHotEncoder\n\nencoder = OneHotEncoder()\nX_encoded = encoder.fit_transform(X_categorical)<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li><strong>\u7279\u5f81\u9009\u62e9<\/strong>\uff1a\u4f7f\u7528 <code>SelectKBest<\/code> \u6216 <code>SelectFromModel<\/code> \u8fdb\u884c\u7279\u5f81\u9009\u62e9\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.feature_selection import SelectKBest, SelectFromModel\nfrom sklearn.ensemble import RandomForestClassifier\n\nselector = SelectKBest(k=10)\nX_selected = selector.fit_transform(X, y)\n\n# Or using SelectFromModel with a model like RandomForestClassifier\nselector = SelectFromModel(RandomForestClassifier(), threshold=0.3)\nX_selected = selector.fit_transform(X, y)<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li><strong>\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09<\/strong>\uff1a\u4f7f\u7528 <code>PCA<\/code> \u8fdb\u884c\u964d\u7ef4\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.decomposition import PCA\n\npca = PCA(n_components=10)\nX_pca = pca.fit_transform(X)<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li><strong>\u591a\u9879\u5f0f\u7279\u5f81<\/strong>\uff1a\u4f7f\u7528 <code>PolynomialFeatures<\/code> \u6765\u751f\u6210\u539f\u59cb\u7279\u5f81\u7684\u591a\u9879\u5f0f\u7ec4\u5408\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.preprocessing import PolynomialFeatures\n\npoly = PolynomialFeatures(degree=2)\nX_poly = poly.fit_transform(X)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u8fd9\u4e9b\u53ea\u662f scikit-learn \u4e2d\u7279\u5f81\u5de5\u7a0b\u7684\u4e00\u90e8\u5206\u529f\u80fd\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u4efb\u52a1\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u8fdb\u884c\u7279\u5f81\u5904\u7406\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u4f8b\u5b50\uff1a<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u597d\u7684\uff0c\u6211\u4eec\u4ee5\u4e00\u4e2a\u7b80\u5355\u7684\u9879\u76ee\u4e3a\u4f8b\uff1a\u9884\u6d4b\u623f\u5c4b\u4ef7\u683c\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e9b\u623f\u5c4b\u7684\u6570\u636e\uff0c\u5305\u62ec\u623f\u5c4b\u7684\u5927\u5c0f\u3001\u5367\u5ba4\u6570\u91cf\u3001\u8ddd\u79bb\u5e02\u4e2d\u5fc3\u7684\u8ddd\u79bb\u7b49\u7279\u5f81\uff0c\u4ee5\u53ca\u5bf9\u5e94\u7684\u623f\u5c4b\u4ef7\u683c\u3002\u6211\u4eec\u7684\u76ee\u6807\u662f\u5efa\u7acb\u4e00\u4e2a\u6a21\u578b\uff0c\u6839\u636e\u8fd9\u4e9b\u7279\u5f81\u6765\u9884\u6d4b\u623f\u5c4b\u7684\u4ef7\u683c\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e0b\u9762\u662f\u5982\u4f55\u4f7f\u7528 scikit-learn \u6765\u8fdb\u884c\u7279\u5f81\u5de5\u7a0b\u7684\u6d41\u7a0b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u51c6\u5907<\/strong>\uff1a\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u52a0\u8f7d\u6570\u636e\uff0c\u5e76\u5c06\u7279\u5f81\u548c\u6807\u7b7e\u5206\u5f00\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\n\n# \u52a0\u8f7d\u6570\u636e\ndata = pd.read_csv(\"housing_data.csv\")\n\n# \u5206\u79bb\u7279\u5f81\u548c\u6807\u7b7e\nX = data.drop(\"price\", axis=1)\ny = data&#91;\"price\"]<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li><strong>\u6570\u636e\u9884\u5904\u7406<\/strong>\uff1a\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\uff0c\u6bd4\u5982\u5904\u7406\u7f3a\u5931\u503c\u6216\u8005\u5bf9\u5206\u7c7b\u7279\u5f81\u8fdb\u884c\u7f16\u7801\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.impute import SimpleImputer\nfrom sklearn.preprocessing import OneHotEncoder\nfrom sklearn.compose import ColumnTransformer\n\n# \u5904\u7406\u7f3a\u5931\u503c\nimputer = SimpleImputer(strategy=\"mean\")\nX&#91;\"bedrooms\"] = imputer.fit_transform(X&#91;&#91;\"bedrooms\"]])\n\n# \u5bf9\u5206\u7c7b\u7279\u5f81\u8fdb\u884c One-Hot \u7f16\u7801\nct = ColumnTransformer(\n    &#91;(\"encoder\", OneHotEncoder(), &#91;\"location\"])],\n    remainder=\"passthrough\"\n)\nX_encoded = ct.fit_transform(X)<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li><strong>\u7279\u5f81\u9009\u62e9<\/strong>\uff1a\u5982\u679c\u7279\u5f81\u8fc7\u591a\u6216\u8005\u5b58\u5728\u5197\u4f59\u7279\u5f81\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u7279\u5f81\u9009\u62e9\u6765\u51cf\u5c11\u7279\u5f81\u6570\u91cf\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.feature_selection import SelectKBest, f_regression\n\n# \u9009\u62e9\u4e0e\u76ee\u6807\u53d8\u91cf\u76f8\u5173\u6027\u6700\u9ad8\u7684 K \u4e2a\u7279\u5f81\nselector = SelectKBest(score_func=f_regression, k=5)\nX_selected = selector.fit_transform(X_encoded, y)<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li><strong>\u5efa\u7acb\u6a21\u578b<\/strong>\uff1a\u5728\u8fdb\u884c\u7279\u5f81\u5de5\u7a0b\u4e4b\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u6a21\u578b\u6765\u5efa\u7acb\u9884\u6d4b\u623f\u5c4b\u4ef7\u683c\u7684\u6a21\u578b\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.linear_model import LinearRegression\nfrom sklearn.model_selection import train_test_split\n\n# \u5212\u5206\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\nX_train, X_test, y_train, y_test = train_test_split(X_selected, y, test_size=0.2, random_state=42)\n\n# \u5efa\u7acb\u7ebf\u6027\u56de\u5f52\u6a21\u578b\nmodel = LinearRegression()\nmodel.fit(X_train, y_train)<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li><strong>\u8bc4\u4f30\u6a21\u578b<\/strong>\uff1a\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u6d4b\u8bd5\u96c6\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.metrics import mean_squared_error\n\n# \u5728\u6d4b\u8bd5\u96c6\u4e0a\u8fdb\u884c\u9884\u6d4b\ny_pred = model.predict(X_test)\n\n# \u8ba1\u7b97\u5747\u65b9\u8bef\u5dee\nmse = mean_squared_error(y_test, y_pred)\nprint(\"Mean Squared Error:\", mse)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u901a\u8fc7\u8fd9\u4e2a\u7b80\u5355\u7684\u9879\u76ee\uff0c\u6211\u4eec\u6f14\u793a\u4e86\u5728 scikit-learn \u4e2d\u8fdb\u884c\u7279\u5f81\u5de5\u7a0b\u7684\u57fa\u672c\u6d41\u7a0b\uff0c\u5305\u62ec\u6570\u636e\u51c6\u5907\u3001\u9884\u5904\u7406\u3001\u7279\u5f81\u9009\u62e9\u3001\u6a21\u578b\u5efa\u7acb\u548c\u8bc4\u4f30\u7b49\u6b65\u9aa4\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>One-Hot \u7f16\u7801<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One-Hot \u7f16\u7801\u7684\u4e3b\u8981\u76ee\u7684\u662f\u5c06\u5206\u7c7b\u53d8\u91cf\u8f6c\u6362\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53ef\u4ee5\u7406\u89e3\u7684\u5f62\u5f0f\uff0c\u901a\u5e38\u662f\u4e8c\u8fdb\u5236\u5f62\u5f0f\u3002\u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u6a21\u578b\u901a\u5e38\u53ea\u80fd\u5904\u7406\u6570\u503c\u578b\u6570\u636e\uff0c\u800c\u4e0d\u80fd\u76f4\u63a5\u5904\u7406\u5206\u7c7b\u53d8\u91cf\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u9700\u8981\u5c06\u5206\u7c7b\u53d8\u91cf\u8f6c\u6362\u4e3a\u6570\u503c\u578b\u6570\u636e\uff0c\u4ee5\u4fbf\u6a21\u578b\u80fd\u591f\u6b63\u786e\u5730\u5b66\u4e60\u548c\u9884\u6d4b\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5177\u4f53\u6765\u8bf4\uff0cOne-Hot \u7f16\u7801\u5c06\u6bcf\u4e2a\u5206\u7c7b\u53d8\u91cf\u7684\u53d6\u503c\u8f6c\u6362\u4e3a\u4e00\u4e2a\u65b0\u7684\u4e8c\u8fdb\u5236\u7279\u5f81\uff0c\u5176\u4e2d\u6bcf\u4e2a\u7279\u5f81\u5bf9\u5e94\u4e00\u4e2a\u53d6\u503c\uff0c\u5982\u679c\u6837\u672c\u5177\u6709\u8be5\u53d6\u503c\uff0c\u5219\u8be5\u7279\u5f81\u53d6\u503c\u4e3a1\uff0c\u5426\u5219\u4e3a0\u3002\u8fd9\u6837\u505a\u7684\u597d\u5904\u6709\u51e0\u4e2a\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u4fdd\u7559\u4e86\u5206\u7c7b\u4fe1\u606f<\/strong>\uff1aOne-Hot \u7f16\u7801\u4e0d\u4f1a\u5f15\u5165\u5206\u7c7b\u53d8\u91cf\u4e4b\u95f4\u7684\u987a\u5e8f\u5173\u7cfb\uff0c\u800c\u662f\u4e3a\u6bcf\u4e2a\u53ef\u80fd\u7684\u5206\u7c7b\u503c\u5f15\u5165\u4e00\u4e2a\u65b0\u7684\u7279\u5f81\uff0c\u4ece\u800c\u4fdd\u7559\u4e86\u5206\u7c7b\u53d8\u91cf\u7684\u4fe1\u606f\u3002<\/li>\n\n\n\n<li><strong>\u907f\u514d\u4e86\u6570\u503c\u504f\u597d<\/strong>\uff1a\u5982\u679c\u76f4\u63a5\u5bf9\u5206\u7c7b\u53d8\u91cf\u8fdb\u884c\u6570\u5b57\u7f16\u7801\uff08\u6bd4\u5982\u7528 0\u30011\u30012 \u8868\u793a\u4e0d\u540c\u7684\u7c7b\u522b\uff09\uff0c\u6a21\u578b\u53ef\u80fd\u4f1a\u8bef\u8ba4\u4e3a\u7c7b\u522b\u4e4b\u95f4\u5b58\u5728\u987a\u5e8f\u5173\u7cfb\u3002\u800c One-Hot \u7f16\u7801\u5219\u53ef\u4ee5\u907f\u514d\u8fd9\u79cd\u8bef\u89e3\u3002<\/li>\n\n\n\n<li><strong>\u9002\u7528\u4e8e\u5927\u591a\u6570\u6a21\u578b<\/strong>\uff1a\u5927\u591a\u6570\u673a\u5668\u5b66\u4e60\u6a21\u578b\u90fd\u80fd\u5f88\u597d\u5730\u5904\u7406\u6570\u503c\u578b\u6570\u636e\uff0c\u56e0\u6b64\u5c06\u5206\u7c7b\u53d8\u91cf\u8f6c\u6362\u4e3a One-Hot \u7f16\u7801\u540e\uff0c\u53ef\u4ee5\u5e94\u7528\u4e8e\u66f4\u591a\u7684\u6a21\u578b\u3002<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e3e\u4f8b\u6765\u8bf4\uff0c\u5728\u623f\u4ef7\u9884\u6d4b\u7684\u9879\u76ee\u4e2d\uff0c\u5982\u679c\u7279\u5f81\u4e2d\u6709\u4e00\u4e2a\u8868\u793a\u5730\u533a\u7684\u5206\u7c7b\u53d8\u91cf\uff0c\u6bd4\u5982 \"location\"\uff0c\u5b83\u6709\u4e09\u4e2a\u53ef\u80fd\u7684\u53d6\u503c\uff1a\"suburb\"\u3001\"urban\" \u548c \"rural\"\u3002\u901a\u8fc7 One-Hot 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