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  1. NOT 检索

    如果想搜索包含”搜索词1”但不包含”搜索词2”的文档,输入并搜索如下内容: 搜索词1 NOT 搜索词2...
    fess.codelibs.org/zh-cn/15.4/user/search-not.html
    Mon Feb 02 02:54:03 GMT 2026
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  2. AdditiveChi2Sampler — scikit-learn 1.8.0 ...

    sample_steps = 2 , sample_interval = None ) [source]...original space is transformed into 2*sample_steps-1 features, where...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html
    Mon Feb 02 09:23:44 GMT 2026
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  3. median_absolute_error — scikit-learn 1.8....

    2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html
    Mon Feb 02 09:23:44 GMT 2026
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  4. AbstractTransactionManagementConfiguration (Spr...

    transactionAttribute @Bean @Role (2) public   TransactionAttribute...nternalTransactiona") @Role (2) public static   TransactionalEventLi...
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/transaction/annotati...
    Fri Feb 01 00:00:00 GMT 1980
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  5. SGDRegressor — scikit-learn 1.8.0 documen...

    loss/||x||**2) . ‘pa2’: passive-aggressive algorithm 2, see [1]...eta = hinge_loss / (||x||**2 + 1/(2 eta0)) . Added in version...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html
    Mon Feb 02 09:23:44 GMT 2026
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  6. LassoLarsCV — scikit-learn 1.8.0 document...

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_jobs = None , eps = np.float64(2.220446049250313e-16) , copy_X...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html
    Mon Feb 02 09:23:44 GMT 2026
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  7. safe_sqr — scikit-learn 1.8.0 documentation

    Returns : X ** 2 element wise square Return the...>>> safe_sqr ([ 1 , 2 , 3 ]) array([1, 4, 9]) On this...
    scikit-learn.org/stable/modules/generated/sklearn.utils.safe_sqr.html
    Mon Feb 02 09:23:44 GMT 2026
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  8. Decision Tree Regression with AdaBoost — ...

    linewidth = 2 ) plt . plot ( X , y_2 , color = colors [ 2 ], label..."n_estimators=300" , linewidth = 2 ) plt . xlabel ( "data"...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html
    Mon Feb 02 09:23:44 GMT 2026
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  9. LinearDiscriminantAnalysis — scikit-learn...

    [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...
    Mon Feb 02 09:23:44 GMT 2026
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  10. Illustration of Gaussian process classification...

    2 ) Y = np . logical_xor ( X [:,...DotProduct ( sigma_0 = 1.0 ) ** 2 ] for i , kernel in enumerate...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html
    Mon Feb 02 09:23:44 GMT 2026
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