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mean_pinball_loss — scikit-learn 1.8.0 do...
[ 1 , 2 , 4 ], alpha = 0.1 ) 0.3... >>>...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
OAS — scikit-learn 1.8.0 documentation
precision_ array([[ 1.7833, -1.2431 ], [-1.2431, 3.3889]]) >>>...the estimator. References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
column_or_1d — scikit-learn 1.8.0 documen...
>>> column_or_1d ([ 1 , 1 ]) array([1, 1]) On this page This...type for y . Added in version 1.2. input_name str, default=”y”...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html -
Isomap — scikit-learn 1.8.0 documentation
Added in version 1.1. n_components int, default=2...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
hamming_loss — scikit-learn 1.8.0 documen...
1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
davies_bouldin_score — scikit-learn 1.8.0...
1 ], [ 1 , 1 ], [ 3 , 4 ]] >>>...Davies-Bouldin score. References [ 1 ] Davies, David L.; Bouldin, Donald...scikit-learn.org/stable/modules/generated/sklearn.metrics.davies_bouldin_score.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 -
fastica — scikit-learn 1.8.0 documentation
The implementation is based on [1] . Read more in the User Guide...performed. Changed in version 1.3: The default value of whiten...scikit-learn.org/stable/modules/generated/fastica-function.html -
accuracy_score — scikit-learn 1.8.0 docum...
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...= [ 0 , 2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_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