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cluster_optics_xi — scikit-learn 1.8.0 document...
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...samples (rounded to be at least 2). min_cluster_size int > 1 or...scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
manhattan_distances — scikit-learn 1.8.0 docume...
2 ], [ 3 , 4 ]], [[ 1 , 2 ], [ 0 , 3 ]]) array([[0., 2.],...]], [[ 2 ]]) array([[1.]]) >>> manhattan_distances ([[ 2 ]], [[...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
Robust covariance estimation and Mahalanobis di...
standard deviation equal to 2 and feature 2 has a standard deviation...n_features = 2 # generate Gaussian data of shape (125, 2) gen_cov...scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html -
mean_tweedie_deviance — scikit-learn 1.8.0 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...>= 0 and y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
Sparse coding with a precomputed dictionary — s...
) ** 2 / width ** 2 ) * np . exp ( - (( x - center ) ** 2 ) /.../ ( 2 * width ** 2 )) ) return x def ricker_matrix ( width , resolution...scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html -
pair_confusion_matrix — scikit-learn 1.8.0 docu...
2 ], [ 0 , 0 , 1 , 1 ]) array([[8, 2], [0, 2]]... Note...confusion matrix \(C\) computes a 2 by 2 similarity matrix between two...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
LeaveOneGroupOut — scikit-learn 1.8.0 documenta...
2 , 1 , 2 ]) >>> groups = np . array ([ 1 , 1 , 2 , 2 ]) >>>...Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1], group=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
Probability Calibration curves — scikit-learn 1...
add_subplot ( gs [: 2 , : 2 ]) calibration_displays = {}...histogram grid_positions = [( 2 , 0 ), ( 2 , 1 ), ( 3 , 0 ), ( 3 ,...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
VotingClassifier — scikit-learn 1.8.0 documenta...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
PLSSVD — scikit-learn 1.8.0 documentation
[ 2. , 2. , 2. ], ... [ 2. , 5. , 4. ]]) >>>...([[ 0.1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9 ], ... [...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html