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StratifiedKFold — scikit-learn 1.8.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> skf = StratifiedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
nan_euclidean_distances — scikit-learn 1.8.0 do...
6] and [1, na, 4, 5] is: \[\sqrt{\frac{4}{2}((3-1)^2 + (6-5)^2)}\]...float ( "NaN" ) >>> X = [[ 0 , 1 ], [ 1 , nan ]] >>> nan_euclidean_distances...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
silhouette_samples — scikit-learn 1.8.0 documen...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
HistGradientBoostingClassifier — scikit-learn 1...
that categorical values of 1.0 and 1 are treated as the same category....version 1.4: Added "from_dtype" option. Changed in version 1.6: The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
Matern — scikit-learn 1.8.0 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>> gpc...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
RegressorChain — scikit-learn 1.8.0 documentation
= [[ 1 , 0 ], [ 0 , 1 ], [ 1 , 1 ]], [[ 0 , 2 ], [ 1 , 1 ], [...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
_safe_indexing — scikit-learn 1.8.0 documentation
array([1, 2]) >>> _safe_indexing ( data , 0 , axis = 1 ) # select...integer are supported. If axis=1 : to select a single column, indices...scikit-learn.org/stable/modules/generated/sklearn.utils._safe_indexing.html -
img_to_graph — scikit-learn 1.8.0 documentation
1], [0, 0, 0, 1], [0, 1, 1, 1]]) On this page...np . array ([[ 0 , 0 ], [ 0 , 1 ]]) >>> img_to_graph ( img , return_as...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
GroupKFold — scikit-learn 1.8.0 documentation
index=[0 1 4 5], group=[0 0 3 3] Fold 1: Train: index=[0 1 4 5],...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
make_hastie_10_2 — scikit-learn 1.8.0 documenta...
float64(-1.0), np.float64(1.0), np.float64(-1.0), np.float64(1.0),...[ i ] = 1 if np . sum ( X [ i ] ** 2 ) > 9.34 else - 1 Read more...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html