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SelectFpr — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
If 1, progress messages will be printed to stdout. If > 1, progress...<= min(n_features, n_classes - 1) we use 'lda' , as it uses labels...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
make_union — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...v0.20: n_jobs default changed from 1 to None. verbose bool, default=False...scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_union.html -
BayesianRidge — scikit-learn 1.8.0 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) BayesianRidge()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) fit ( X , y , sample_weight...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html -
fetch_rcv1 — scikit-learn 1.8.0 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the RCV1 multilabel...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_rcv1.html -
zero_one_loss — scikit-learn 1.8.0 documentation
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...zero_one_loss >>> y_pred = [ 1 , 2 , 3 , 4 ] >>> y_true = [ 2...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
Lars — scikit-learn 1.8.0 documentation
n_nonzero_coefs = 1 ) >>> reg . fit ([[ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ]], [...[ - 1.1111 , 0 , - 1.1111 ]) Lars(n_nonzero_coefs=1) >>> print...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
IsotonicRegression — scikit-learn 1.8.0 documen...
1 , .2 ]) array([1.8628, 3.7256]) fit (...n_samples = 10 , n_features = 1 , random_state = 41 ) >>> iso_reg...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
LassoLars — scikit-learn 1.8.0 documentation
([[ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ]], [ - 1 , 0 , - 1 ]) LassoLars(alpha=0.01)...sklearn.linear_model. LassoLars ( alpha = 1.0 , * , fit_intercept = True ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html -
SequentialFeatureSelector — scikit-learn 1.8.0 ...
version 1.1: The option "auto" was added in version 1.1. Changed...version 1.3: The default changed from "warn" to "auto" in 1.3. tol...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html