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sklearn.compose — scikit-learn 1.8.0 docu...
Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...scikit-learn.org/stable/api/sklearn.compose.html -
sklearn.discriminant_analysis — scikit-le...
Linear and quadratic discriminant analysis. User guide. See the Linear and Quadratic Discriminant Analysis section for further details.scikit-learn.org/stable/api/sklearn.discriminant_analysis.html -
sklearn.isotonic — scikit-learn 1.8.0 doc...
Isotonic regression for obtaining monotonic fit to data. User guide. See the Isotonic regression section for further details.scikit-learn.org/stable/api/sklearn.isotonic.html -
Concentration Prior Type Analysis of Variation ...
1.1 ) ax2 . tick_params ( axis =...], [ 0.0 , 0.1 ]], [[ 0.5 , 0.0 ], [ 0.0 , 0.1 ]], [[ 0.5 , 0.0...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html -
is_multilabel — scikit-learn 1.8.0 docume...
1 , 0 , 1 ]) False >>> is_multilabel ([[ 1 ], [...is_multilabel ( np . array ([[ 1 , 0 ], [ 0 , 0 ]])) True >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.is_multilabel.html -
check_consistent_length — scikit-learn 1....
check_consistent_length >>> a = [ 1 , 2 , 3 ] >>> b = [ 2...scikit-learn.org/stable/modules/generated/sklearn.utils.check_consistent_length.html -
LeaveOneGroupOut — scikit-learn 1.8.0 doc...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1], group=[1 1] Test:...([ 1 , 2 , 1 , 2 ]) >>> groups = np . array ([ 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
2.5. Decomposing signals in components (matrix ...
([[ 1 , 0 ], [ 1 , 6.1 ], [ 1 , 0 ], [ 1 , 4 ], [ 3.2 , 1 ], [...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/decomposition.html -
ndcg_score — scikit-learn 1.8.0 documenta...
1.1 , 1. , .5 , .0 ]]) >>>...scores = np . asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
chi2_kernel — scikit-learn 1.8.0 document...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...chi2_kernel ( X , Y = None , gamma = 1.0 ) [source] # Compute the exponential...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.chi2_kernel.html