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OneVsOneClassifier — scikit-learn 1.7.2 documen...
X_test [: 10 ]) array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...train_test_split ( ... X , y , test_size = 0.33 , shuffle = True , random_state...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
StratifiedGroupKFold — scikit-learn 1.7.2 docum...
1 , 1 , 1 , 1 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 ]) >>> groups...np . ones (( 17 , 2 )) >>> y = np . array ([ 0 , 0 , 1 , 1 ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
feature_extraction.rst.txt
array([[ 1., 0., 0., 33.], [ 0., 1., 0., 12.], [ 0., 0., 1., 18.]])...1.000e+00, 0.000e+00, 1.000e+00, 2.003e+03], [1.000e+00, 0.000e+00,...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
TfidfTransformer — scikit-learn 1.7.2 documenta...
as idf(t) = log [ n / (df(t) + 1) ]). If smooth_idf=True (the default),...document' , ... 'and this is the third one' , ... 'is this the...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
MiniBatchNMF — scikit-learn 1.7.2 documentation
{‘random’, ‘nndsvd’, ‘nndsvda’, ‘nndsvdar’, ‘custom’}, default=None...l1\_ratio * n\_samples * ||vec(H)||_1\\ &+ 0.5 * alpha\_W * (1 - l1\_ratio)...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html -
DummyClassifier — scikit-learn 1.7.2 documentation
np . array ([ - 1 , 1 , 1 , 1 ]) >>> y = np . array ([ 0 , 1...1, 1, 1]) >>> dummy_clf . score ( X , y ) 0.75 fit ( X , y , sample_weight...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
fetch_species_distributions — scikit-learn 1.7....
9833, -15.9 )], dtype=[('species', 'S22'), ('dd long', '<f4'), ('dd...-16.3333), (b'microryzomys_minutus', -67.8833, -16.3 ), (b'm...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
make_multilabel_classification — scikit-learn 1...
list ( y [: 3 ]) [array([1, 1, 0, 1, 0]), array([0, 1, 1, 1, 0]),...0]), array([0, 1, 0, 0, 0])] Gallery examples # Plot randomly generated...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
SelectPercentile — scikit-learn 1.7.2 documenta...
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...) . fit_transform ( X , y ) >>> X_new . shape (1797, 7) fit (...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
fetch_file — scikit-learn 1.7.2 documentation
, sha256 = None , n_retries = 3 , delay = 1 ) [source] # Fetch...sklearn.datasets. fetch_file ( url , folder = None , local_filename = None ,...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_file.html