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hinge_loss — scikit-learn 1.8.0 documenta...
>>> pred_decision array([-2.18, 2.36, 0.09]) >>> hinge_loss...], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
kmeans_plusplus — scikit-learn 1.8.0 docu...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...array([[10, 2], [ 1, 0]]) >>> indices array([3, 2]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
explained_variance_score — scikit-learn 1...
= [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...= [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
Concentration Prior Type Analysis of Variation ...
normalization eig_vals = 2 * np . sqrt ( 2 ) * np . sqrt ( eig_vals...= 0.8 ) ax1 . set_xlim ( - 2.0 , 2.0 ) ax1 . set_ylim ( - 3.0...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html -
Outlier detection with Local Outlier Factor (LO...
2 ) X_inliers = np . r_ [ X_inliers + 2 , X_inliers...relative to this cluster, and 2) smaller than the maximum number...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
dcg_score — scikit-learn 1.8.0 documentation
log_base = 2 , sample_weight = None , ignore_ties...outputs. log_base float, default=2 Base of the logarithm used for...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
v_measure_score — scikit-learn 1.8.0 docu...
2 ], [ 0 , 0 , 1 , 1 ])) 0.8 >>>...% v_measure_score ([ 0 , 1 , 2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.67...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
dict_learning_online — scikit-learn 1.8.0...
X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...dict_learning_online ( X , n_components = 2 , * , alpha = 1 , max_iter = 100...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
inplace_swap_column — scikit-learn 1.8.0 ...
2 , 2 ]) >>> data = np . array ([ 8 , 2 , 5 ])...>>> indptr = np . array ([ 0 , 2 , 3 , 3 , 3 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
FeatureHasher — scikit-learn 1.8.0 docume...
'cat' : 2 , 'elephant' : 4 },{ 'dog' : 2 , 'run'...0., 0., 0., 0., 0., 2.], [ 0., 0., 0., -2., -5., 0., 0., 0., 0.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html