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get_routing_for_object — scikit-learn 1.7.1 doc...
Added in version 1.3. Parameters : obj object If...scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.get_routing_for_object.html -
normalized_mutual_info_score — scikit-learn 1.7...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> normalized_mutual_info_score...ore ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
pairwise_distances_argmin_min — scikit-learn 1....
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...argmin array([0, 1]) >>> distances array([1., 1.]) On this page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html -
Hashing feature transformation using Totally Ra...
set_ylim ( - 1.4 , 1.4 ) ax . set_xlim ( - 1.4 , 1.4 ) ax . set_xticks...set_ylim ( - 1.4 , 1.4 ) ax . set_xlim ( - 1.4 , 1.4 ) ax . set_xticks...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
incr_mean_variance_axis — scikit-learn 1.7.1 do...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...last_n = 2 ... ) (array([1.33, 0.167, 1.17]), array([8.88, 0.139,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
Manifold learning on handwritten digits: Locall...
array ([[ 1.0 , 1.0 ]]) # just something big...data . flat [:: X . shape [ 1 ] + 1 ] += 0.01 # Make X invertible...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
Comparing randomized search and grid search for...
= 3 ): for i in range ( 1 , n_top + 1 ): candidates = np . flatnonzero...parameter settings. Model with rank: 1 Mean validation score: 0.987 (std:...scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html -
precision_recall_fscore_support — scikit-learn ...
beta = 1.0 , labels = None , pos_label = 1 , average = None...score reaches its best value at 1 and worst score at 0. The F-beta...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html -
Demonstration of multi-metric evaluation on cro...
1 ) # Get the regular numpy array...sample_score_std , alpha = 0.1 if sample == "test" else 0 , color...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
2.7. Novelty and Outlier Detection — scikit-lea...
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [...Inliers are labeled 1, while outliers are labeled -1. The predict method...scikit-learn.org/stable/modules/outlier_detection.html