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RFECV — scikit-learn 1.6.1 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) property...estimator , * , step = 1 , min_features_to_select = 1 , cv = None , scoring...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
TweedieRegressor — scikit-learn 1.6.1 documenta...
float64(1.600...) >>> clf . predict ([[ 1 , 1 ], [ 3 , 4 ]])...Power Distribution 0 Normal 1 Poisson (1,2) Compound Poisson Gamma...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
LinearDiscriminantAnalysis — scikit-learn 1.6.1...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
RocCurveDisplay — scikit-learn 1.6.1 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...([ 0 , 0 , 1 , 1 ]) >>> pred = np . array ([ 0.1 , 0.4 , 0.35...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
GradientBoostingRegressor — scikit-learn 1.6.1 ...
1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
pairwise_distances — scikit-learn 1.6.1 documen...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
lasso_path — scikit-learn 1.6.1 documentation
alpha * || w || _1 For multi-output tasks it is: ( 1 / ( 2 * n_samples...lasso_path >>> X = np . array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]])...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
PCA — scikit-learn 1.6.1 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...more details. Added in version 1.1. power_iteration_normalizer {‘auto’,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
SpectralClustering — scikit-learn 1.6.1 documen...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering ...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html -
TSNE — scikit-learn 1.6.1 documentation
1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]]) >>> X_embedded...metric function. Added in version 1.1. init {“random”, “pca”} or ndarray...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html