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GaussianRandomProjection — scikit-learn 1.8.0 d...
Added in version 1.1. n_features_in_ int Number of...n_components = 'auto' , * , eps = 0.1 , compute_inverse_components =...scikit-learn.org/stable/modules/generated/sklearn.random_projection.GaussianRandomProjection.html -
DictionaryLearning — scikit-learn 1.8.0 documen...
1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...version 1.2: When None, default value changed from 1.0 to alpha...scikit-learn.org/stable/modules/generated/sklearn.decomposition.DictionaryLearning.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 -
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 -
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 -
KMeans — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Clustering...X = np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
binarize — scikit-learn 1.8.0 documentation
1., 0.], [1., 0., 0.]]) On this page...are replaced by 0, above it by 1. Threshold may not be less than...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.binarize.html -
silhouette_score — scikit-learn 1.8.0 documenta...
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 mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
adjusted_rand_score — scikit-learn 1.8.0 docume...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> adjusted_rand_score...adjusted_rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_rand_score.html -
ParameterSampler — scikit-learn 1.8.0 documenta...
'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ... { 'b' : 1.878964...0 ) >>> param_grid = { 'a' :[ 1 , 2 ], 'b' : expon ()} >>> param_list...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html