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confusion_matrix_at_thresholds — scikit-l...
1., 1., 0.]) >>> fps array([0., 1., 1., 2.])...array([1., 1., 0., 0.]) >>> tps array([1., 1., 2., 2.])...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.html -
euclidean_distances — scikit-learn 1.8.0 ...
1 ], [ 1 , 1 ]] >>> # distance...(n_samples_Y,) or (n_samples_Y, 1) or (1, n_samples_Y), default=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html -
Feature transformations with ensembles of trees...
deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html -
DictVectorizer — scikit-learn 1.8.0 docum...
1.], [0., 1., 3.]]) >>> v ....'foo' : 1.0 }, ... { 'baz' : 1.0 , 'foo'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
paired_distances — scikit-learn 1.8.0 doc...
1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>>...distances between (X[0], Y[0]), (X[1], Y[1]), etc… Read more in the User...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html -
jaccard_score — scikit-learn 1.8.0 docume...
1 , 1 ], ... [ 1 , 1 , 0 ]]) >>>...y_pred = np . array ([[ 1 , 1 , 1 ], ... [ 1 , 0 , 0 ]]) In the binary...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
StratifiedGroupKFold — scikit-learn 1.8.0...
1 , 1 , 1 , 1 , 1 , 1 , 0 , 0 , 0 , 0 , 0...Train: index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
kneighbors_graph — scikit-learn 1.8.0 doc...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) Gallery...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html -
d2_absolute_error_score — scikit-learn 1....
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...User Guide . Added in version 1.1. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
max_error — scikit-learn 1.8.0 documentation
1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>>...max_error ( y_true , y_pred ) 1.0 On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html