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  1. GenericUnivariateSelect — scikit-learn 1.6.1 do...

    score_func=<function f_classif> , * , mode='percentile' , param=1e-05...chi2 >>> X , y = load_breast_cancer ( return_X_y = True ) >>> X...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. additive_chi2_kernel — scikit-learn 1.6.1 docum...

    additive_chi2_kernel >>> X = [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 ,...additive_chi2_kernel ( X , Y = None ) [source] # Compute the...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. inplace_csr_column_scale — scikit-learn 1.6.1 d...

    indptr = np . array ([ 0 , 3 , 4 , 4 , 4 ]) >>> indices = np ....>>> data = np . array ([ 8 , 1 , 2 , 5 ]) >>> scale = np . array...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html
    Sat Apr 19 00:31:21 UTC 2025
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  4. root_mean_squared_log_error — scikit-learn 1.6....

    sample_weight = None , multioutput = 'uniform_average' )...r >>> y_true = [ 3 , 5 , 2.5 , 7 ] >>> y_pred = [ 2.5 , 5 , 4...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_log_error.html
    Sat Apr 19 00:31:21 UTC 2025
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  5. Entity | DBFlute

    MemberStatus status = new MemberStatus(); String tableDbname = status.getTableDbName();...member = new Member(); CDef.MemberStatus cdefStatus = CDef.M...
    dbflute.seasar.org/ja/manual/function/ormapper/entity/index.html
    Fri Apr 18 17:54:32 UTC 2025
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  6. mutual_info_classif — scikit-learn 1.6.1 docume...

    discrete_features = 'auto' , n_neighbors = 3 , copy = True , random_state...n_features = 10 , n_informative = 2 , n_clusters_per_class = 1 , ......
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. precision_recall_curve — scikit-learn 1.6.1 doc...

    y_score = None , * , pos_label = None , sample_weight = None ,...drop_intermediate = False , probas_pred = 'deprecated' ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. explained_variance_score — scikit-learn 1.6.1 d...

    sample_weight = None , multioutput = 'uniform_average' ,... >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. EmpiricalCovariance — scikit-learn 1.6.1 docume...

    multivariate_normal ( mean = [ 0 , 0 ], ... cov = real_cov , ... size = 500 ) >>>...comp_cov , norm = 'frobenius' , scaling = True , squared = True ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. d2_log_loss_score — scikit-learn 1.6.1 document...

    sample_weight = None , labels = None ) [source] # \(D^2\)...default=None Sample weights. labels array-like, default=None If...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html
    Sat Apr 19 00:31:22 UTC 2025
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