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SelectFpr — scikit-learn 1.7.1 documentation
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...SelectFpr ( chi2 , alpha = 0.01 ) . fit_transform ( X , y ) >>> X_new...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
fastica — scikit-learn 1.7.1 documentation
to ‘unit-variance’ in 1.3. fun {‘logcosh’, ‘exp’, ‘cube’} or...neg-entropy. Could be either ‘logcosh’, ‘exp’, or ‘cube’. You...scikit-learn.org/stable/modules/generated/fastica-function.html -
shrunk_covariance — scikit-learn 1.7.1 document...
= np . array ([[ .8 , .3 ], [ .3 , .4 ]]) >>> rng = np . random...shrunk_covariance ( empirical_covariance ( X )) array([[0.739, 0.254], [0.254,...scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html -
sklearn.decomposition — scikit-learn 1.7.1 docu...
Factorization (NMF). PCA Principal component analysis (PCA). SparseCoder...algorithms. These include PCA, NMF, ICA, and more. Most of the...scikit-learn.org/stable/api/sklearn.decomposition.html -
sklearn.calibration — scikit-learn 1.7.1 docume...
top Ctrl + K GitHub Choose version sklearn.calibration # Methods...curve (also known as reliability diagram) visualization....scikit-learn.org/stable/api/sklearn.calibration.html -
LeavePGroupsOut — scikit-learn 1.7.1 documentation
enumerate ( lpgo . split ( X , y , groups )): ... print ( f "Fold {...1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ]) >>> lpgo...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
mean_squared_log_error — scikit-learn 1.7.1 doc...
mean_squared_log_error ( y_true , y_pred ) 0.039... >>> y_true = [[ 0.5 , 1 ], [...multioutput = 'raw_values' ) array([0.00462428, 0.08377444]) >>> me...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html -
sample_without_replacement — scikit-learn 1.7.1...
nt ( 10 , 5 , random_state = 42 ) array([8, 1, 5, 0, 7]) On this...“reservoir_sampling”, “pool”}, default=’auto’ If method == “auto”, the ratio...scikit-learn.org/stable/modules/generated/sklearn.utils.random.sample_without_replacement.html -
inplace_column_scale — scikit-learn 1.7.1 docum...
todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0, 0, 0]]) >>>...todense () matrix([[16, 3, 4], [ 0, 0, 10], [ 0, 0, 0], [ 0, 0, 0]])...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html -
resample — scikit-learn 1.7.1 documentation
X_sparse . toarray () array([[1., 0.], [2., 1.], [1., 0.]]) >>> y...= np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>> y...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html