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VotingClassifier — scikit-learn 1.7.1 documenta...
= [ ... ( 'lr' , clf1 ), ( 'rf' , clf2 ), ( 'gnb' , clf3 )], voting...np . array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
KNNImputer — scikit-learn 1.7.1 documentation
array([[1. , 2. , 4. ], [3. , 4. , 3. ], [5.5, 6. , 5. ], [8. , 8....], [ 3 , 4 , 3 ], [ np . nan , 6 , 5 ], [ 8 , 8 , 7 ]] >>> imputer...scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html -
DotProduct — scikit-learn 1.7.1 documentation
. . , D)\) and a prior of \(N(0, \sigma_0^2)\) on the bias. The...2 ,:], return_std = True ) (array([653.0, 592.1]), array([316.6,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
f_regression — scikit-learn 1.7.1 documentation
array([1.21, 2.67e13, 2.66]) >>> p_values array([0.276, 1.54e-283,...as: E [( X [:, i ] - mean ( X [:, i ])) * ( y - mean ( y ))] / (...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
ShuffleSplit — scikit-learn 1.7.1 documentation
split ( X )): ... print ( f "Fold { i } :" ) ... print ( f " Train:...enumerate ( rs . split ( X )): ... print ( f "Fold { i } :" ) ... print...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
LocalOutlierFactor — scikit-learn 1.7.1 documen...
Machine. References [ 1 ] Breunig, M. M., Kriegel, H. P., Ng, R....‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’ Algorithm used to compute...scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
Systems. 17, 513-520, 2005. http://www.cs.nyu.edu/~roweis/papers/ncanips.pdf...‘pca’, ‘lda’, ‘identity’, ‘random’} or ndarray of shape (n_features_a,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
KernelDensity — scikit-learn 1.7.1 documentation
algorithm {‘kd_tree’, ‘ball_tree’, ‘auto’}, default=’auto’ The tree...to use. kernel {‘gaussian’, ‘tophat’, ‘epanechnikov’, ‘exponential’,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KernelDensity.html -
TimeSeriesSplit — scikit-learn 1.7.1 documentation
enumerate ( tscv . split ( X )): ... print ( f "Fold { i } :" ) ... print...tscv . split ( X )): ... print ( f "Fold { i } :" ) ... print...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
StratifiedShuffleSplit — scikit-learn 1.7.1 doc...
1 , 2 ], [ 3 , 4 ]]) >>> y = np . array ([ 0 , 0 , 0 , 1 , 1 ,...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html