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KBinsDiscretizer — scikit-learn 1.7.1 documenta...
>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5 ],...“hazen”, “weibull”, “linear”, “median_unbiased”, “normal_unbiased”},...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
LabelBinarizer — scikit-learn 1.7.1 documentation
transform ([ 0 , 1 , 2 , 1 ]) array([[1, 0, 0], [0, 1, 0], [0, 0, 1],...transform ([ 1 , 6 ]) array([[1, 0, 0, 0], [0, 0, 0, 1]]) Binary targets...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
n_dim ( 1e6 , eps = [ 0.5 , 0.1 , 0.01 ]) array([ 663, 11841,...im ( n_samples , * , eps = 0.1 ) [source] # Find a ‘safe’ number...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
SpectralBiclustering — scikit-learn 1.7.1 docum...
= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...clustering . row_labels_ array([1, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
kmeans_plusplus — scikit-learn 1.7.1 documentation
np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ],...centers array([[10, 2], [ 1, 0]]) >>> indices array([3, 2]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
AffinityPropagation — scikit-learn 1.7.1 docume...
= np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ],...1, 1, 1]) >>> clustering . predict ([[ 0 , 0 ], [ 4 , 4 ]]) array([0,...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
OAS — scikit-learn 1.7.1 documentation
estimation.”, Chen, Y., Wiesel, A., Eldar, Y. C., & Hero, A. O. IEEE...array([[ 1.7833, -1.2431 ], [-1.2431, 3.3889]]) >>> oas . shrinkage_...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
estimate_bandwidth — scikit-learn 1.7.1 documen...
([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ], [ 3 , 5 ],...sklearn.cluster. estimate_bandwidth ( X , * , quantile = 0.3 , n_samples...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html -
Isomap — scikit-learn 1.7.1 documentation
manifold. eigen_solver {‘auto’, ‘arpack’, ‘dense’}, default=’auto’...algorithm. neighbors_algorithm {‘auto’, ‘brute’, ‘kd_tree’, ‘ball_tree’},...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
PartialDependenceDisplay — scikit-learn 1.7.1 d...
in features . kind {‘average’, ‘individual’, ‘both’} or list of...parameter with 'average' , 'individual' , and 'both' options. Added in...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html