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PolynomialCountSketch — scikit-learn 1.7....
degree = 2 , coef0 = 0 , n_components = 100...approximated. degree int, default=2 Degree of the polynomial kernel...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html -
AffinityPropagation — scikit-learn 1.7.2 ...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...cluster_centers_ array([[1, 2], [4, 2]]) For an example usage, see...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
lars_path — scikit-learn 1.7.2 documentation
float64(2.220446049250313e-16) , copy_Gram...case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
roc_auc_score — scikit-learn 1.7.2 docume...
the standardized partial AUC [2] over the range [0, max_fpr] is...under of the ROC as follows: G = 2 * AUC - 1 Where G is the Gini...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
TransformerMixin — scikit-learn 1.7.2 doc...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
ExtraTreesRegressor — scikit-learn 1.7.2 ...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
completeness_score — scikit-learn 1.7.2 d...
2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.999...([ 0 , 0 , 0 , 0 ], [ 0 , 1 , 2 , 3 ])) 0.0 Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html -
average_precision_score — scikit-learn 1....
2 , 2 ]) >>> y_scores = np...], ... [ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
precision_score — scikit-learn 1.7.2 docu...
2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html -
minmax_scale — scikit-learn 1.7.2 documen...
minmax_scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html