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1. Metadata Routing — scikit-learn 1.5.0 docume...
rand ( n_samples ) 1.1.1. Weighted scoring and fitting...demonstrated by the following examples. 1.1. Usage Examples # Here we present...scikit-learn.org/stable/metadata_routing.html -
LogisticRegression — scikit-learn 1.5.0 documen...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights..., C = 1.0 , fit_intercept = True , intercept_scaling = 1 , class_weight...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
RFE — scikit-learn 1.5.0 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) property...float, default=1 If greater than or equal to 1, then step corresponds...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
PoissonRegressor — scikit-learn 1.5.0 documenta...
predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676...,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
AdaBoostClassifier — scikit-learn 1.5.0 documen...
initialized with max_depth=1 . Added in version 1.2: base_estimator was...the range [1, inf) . learning_rate float, default=1.0 Weight applied...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
SpectralCoclustering — scikit-learn 1.5.0 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
ExtraTreesRegressor — scikit-learn 1.5.0 docume...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...e.g. 0.3. Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
SGDRegressor — scikit-learn 1.5.0 documentation
l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....True , verbose = 0 , epsilon = 0.1 , random_state = None , learning_rate...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
ARDRegression — scikit-learn 1.5.0 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
KFold — scikit-learn 1.5.0 documentation
3] Test: index=[0 1] Fold 1: Train: index=[0 1] Test: index=[2...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html