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VotingRegressor — scikit-learn 1.7.2 documentation
VotingRegressor ([( 'lr' , r1 ), ( 'rf' , r2 ), ( 'r3' , r3 )]) >>> print...print ( er . fit ( X , y ) . predict ( X )) [ 6.8 8.4 12.5 17.8 26...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
‘pca’, ‘lda’, ‘identity’, ‘random’} or ndarray of shape (n_features_a,...transformation. Possible options are 'auto' , 'pca' , 'lda' , 'identity'...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
ColumnTransformer — scikit-learn 1.7.2 document...
ColumnTransformer ( ... [( "norm1" , Normalizer ( norm = 'l1' ),...remainder = 'drop' , sparse_threshold = 0.3 , n_jobs = None , transformer_weights...scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html -
FunctionTransformer — scikit-learn 1.7.2 docume...
]]) >>> transformer . transform ( X ) array([[0. , 0.6931], [1.0986,...generated: [x0, x1, ..., x(n_features_in_ - 1)] . If input_features...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
Older Versions — scikit-learn 1.7.2 documentation
1 # October 8, 2012 The 0.12.1 release is a bug-fix release with...instead, which was introduced in 0.9. In metrics.roc_curve , the...scikit-learn.org/stable/whats_new/older_versions.html -
install.rst.txt
install-instructions .sd-tab-set { --tab-caption-width: 20%; } .install-instructions...environment (venv) <https://docs.python.org/3/tutorial/venv.html>`_...scikit-learn.org/stable/_sources/install.rst.txt -
StratifiedShuffleSplit — scikit-learn 1.7.2 doc...
1 , 2 ], [ 3 , 4 ]]) >>> y = np . array ([ 0 , 0 , 0 , 1 , 1 ,...enumerate ( sss . split ( X , y )): ... print ( f "Fold { i } :" ) ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
LabelSpreading — scikit-learn 1.7.2 documentation
label_prop_model . fit ( iris . data , labels ) LabelSpreading(...) fit (...rand ( len ( iris . target )) < 0.3 >>> labels = np . copy ( iris...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
ExpSineSquared — scikit-learn 1.7.2 documentation
True ) (array([425.6, 457.5]), array([0.3894, 0.3467])) __call__...100000.0) , periodicity_bounds = (1e-05, 100000.0) ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
LearningCurveDisplay — scikit-learn 1.7.2 docum...
train_sizes = array([0.1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring =...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html