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d2_pinball_score — scikit-learn 1.8.0 doc...
Notes Like \(R^2\) , \(D^2\) score may be negative (it...], [ 2 ], [ 3 ], [ 4 ]]) >>> y = np . array ([ 2.5 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
check_symmetric — scikit-learn 1.8.0 docu...
2 ], [ 1 , 0 , 1 ], [ 2 , 1 , 0 ]]) >>>...symmetric_array ) array([[0, 1, 2], [1, 0, 1], [2, 1, 0]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_symmetric.html -
r2_score — scikit-learn 1.8.0 documentation
= [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...= [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
kNN search in Elasticsearch | Elastic Docs
- 1) cosine : (2 * _score) - 1 dot_product : (2 * _score) - 1..."k": 2, "num_candidates": 2, "inner_hits":...www.elastic.co/docs/solutions/search/vector/knn -
Multilabel classification — scikit-learn ...
subplot ( 2 , 2 , subplot ) plt . title ( title..."none" , linewidths = 2 , label = "Class 2" , ) plot_hyperplane...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html -
Sparse coding with a precomputed dictionary ...
) ** 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 -
make_classification — scikit-learn 1.8.0 ...
n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
pair_confusion_matrix — scikit-learn 1.8....
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 -
mean_variance_axis — scikit-learn 1.8.0 d...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
Version 0.15 — scikit-learn 1.8.0 documen...
Marsi 2 csytracy 2 LK 2 Vlad Niculae 2 Laurent Direr 2 Erik Shilts...Liau 2 abhishek thakur 2 James Yu 2 Rohit Sivaprasad 2 Roland...scikit-learn.org/stable/whats_new/v0.15.html