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unique_labels — scikit-learn 1.7.2 docume...
unique_labels ([ 1 , 2 , 3 , 4 ], [ 2 , 2 , 3 , 4 ]) array([1, 2, 3, 4])...unique_labels ([ 1 , 2 , 10 ], [ 5 , 11 ]) array([ 1, 2, 5, 10, 11])...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.unique_labels.html -
paired_cosine_distances — scikit-learn 1....
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html -
ServerResponse.HeadersBuilder (Spring Framework...
as specified by the HTTP 1.1 Cache-Control header. B cookie...resource, as specified by the HTTP 1.1 Cache-Control header. A CacheControl...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/reactive/functio... -
fetch_species_distributions — scikit-lear...
Added in version 1.5. delay float, default=1.0 Number of seconds...True , n_retries = 3 , delay = 1.0 ) [source] # Loader for species...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
fetch_california_housing — 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 the California...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html -
LeavePOut — scikit-learn 1.8.0 documentation
3] Test: index=[0 1] Fold 1: Train: index=[1 3] Test: index=[0...index=[1 2] Fold 4: Train: index=[0 2] Test: index=[1 3] Fold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
chi2 — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 , 1 ], ......>>> y = np . array ([ 1 , 1 , 0 , 0 , 2 , 2 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
RepeatedKFold — scikit-learn 1.8.0 docume...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
PolynomialFeatures — scikit-learn 1.8.0 d...
fit_transform ( X ) array([[ 1., 0., 1., 0., 0., 1.], [ 1., 2., 3., 4., 6.,...) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5., 20.]])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
inplace_row_scale — scikit-learn 1.7.2 do...
1 , 2 , 3 , 3 ]) >>> data...data = np . array ([ 8 , 1 , 2 , 5 , 6 ]) >>> scale =...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html