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Release Highlights for scikit-learn 1.0 — sciki...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...import make_pipeline y = [ 1 , 0 , 1 ] pipe = make_pipeline ( preprocessor...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html -
Roadmap — scikit-learn 1.7.2 documentation
cross-version safety from version 1.0. Note: Gael and Olivier think...scikit-learn.org/stable/roadmap.html -
Release History — scikit-learn 1.7.2 documentation
Version 1.2.0 Version 1.1 Version 1.1.3 Version 1.1.2 Version 1.1.1...1.1.1 Version 1.1.0 Version 1.0 Version 1.0.2 Version 1.0.1 Version...scikit-learn.org/stable/whats_new.html -
fetch_20newsgroups_vectorized — scikit-learn 1....
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load and vectorize...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
Feature discretization — scikit-learn 1.7.2 doc...
logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (..."linearsvc__C" : np . logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
Classifier comparison — scikit-learn 1.7.2 docu...
C = 1 , random_state = 42 ), GaussianProcessClass ( 1.0 * RBF...max_features = 1 , random_state = 42 ), MLPClassifier ( alpha = 1 , max_iter...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
resample — scikit-learn 1.7.2 documentation
1 , 1 , 1 , 1 , 1 ] >>> resample ( y , n_samples = 5 , replace...array([[1., 0.], [2., 1.], [1., 0.]]) >>> y array([0, 1, 0]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html -
MultiTaskLassoCV — scikit-learn 1.7.2 documenta...
since version 1.7: n_alphas was deprecated in 1.7 and will be...since version 1.7: alphas=None was deprecated in 1.7 and will be...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
PredefinedSplit — scikit-learn 1.7.2 documentation
1 , 1 ]) >>> test_fold = [ 0 , 1 , - 1 , 1 ] >>> ps...PredefinedSplit(test_fold=array([ 0, 1, -1, 1])) >>> for i , ( train_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
LeavePGroupsOut — scikit-learn 1.7.2 documentation
Test: index=[0 1], group=[1 2] Fold 1: Train: index=[1], group=[2]...array ([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html