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ElasticNet — scikit-learn 1.8.0 documenta...
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the...0.568], [ 0., 1.120, 0.620], [-0., -2.129, -1.128], [ 0., 23.046,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
StratifiedShuffleSplit — scikit-learn 1.8...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...np . array ([ 0 , 0 , 0 , 1 , 1 , 1 ]) >>> sss = StratifiedShuffleSpl...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
Birch — scikit-learn 1.8.0 documentation
1 ], [ 0.3 , 1 ], [ - 0.3 , 1 ], [ 0 , - 1 ], [ 0.3...predict ( X ) array([0, 0, 0, 1, 1, 1]) For a comparison of the BIRCH...scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
roc_auc_score — scikit-learn 1.8.0 docume...
classes_[1] and thus estimator.predict_proba(X, y)[:, 1] . The...it is upper bounded by 1. References [ 1 ] Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
LeaveOneOut — scikit-learn 1.8.0 document...
([[ 1 , 2 ], [ 3 , 4 ]]) >>> y = np . array ([ 1 , 2...0: Train: index=[1] Test: index=[0] Fold 1: Train: index=[0]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
LassoCV — scikit-learn 1.8.0 documentation
since version 1.7: n_alphas was deprecated in 1.7 and will be...since version 1.7: alphas=None was deprecated in 1.7 and will be...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
pairwise_distances_chunked — scikit-learn...
means 1 unless in a joblib.parallel_backend context. -1 means...D_chunk < r )) . mean ( axis = 1 ) ... return neigh , avg_dist...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html -
PowerTransformer — scikit-learn 1.8.0 doc...
data )) [[-1.316 -0.707] [ 0.209 -0.707] [ 1.106 1.414]] fit (...= ( X * lambda_ + 1 ) ** ( 1 / lambda_ ) - 1 elif X < 0 and...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
d2_tweedie_score — scikit-learn 1.8.0 doc...
1 , 2.5 , 7 ] >>> y_pred = [ 1 , 1 , 5 , 3.5...explained. Best possible score is 1.0 and it can be negative (because...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
AdaBoostClassifier — scikit-learn 1.8.0 d...
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