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accuracy_score — scikit-learn 1.5.0 documentation
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...y_pred = [ 0 , 2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>> accuracy_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
kmeans_plusplus — scikit-learn 1.5.0 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...provided array. Added in version 1.3. x_squared_norms array-like...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
lars_path — scikit-learn 1.5.0 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...Xw ||^ 2_2 + alpha * || w || _1 in the case of method=’lar’, the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
6.1. Pipelines and composite estimators — sciki...
1.1.1. Usage # 6.1.1.1.1. Build a pipeline...0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0], [0, 1, 0, 0, 1, 0, 0, 0,...scikit-learn.org/stable/modules/compose.html -
Release Highlights for scikit-learn 1.5 — sciki...
array([[-1.1, 1.1, 1.1], [ 3.9, -1.2, 1.1], [ 0.1, 1.3, 1.1], [-0.1,...[-0.1, -1.4, -1.4], [-4.9, 1.5, -1.5], [ 0.1, 1.6, 1.6]]) Pairwise...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
fetch_openml — scikit-learn 1.5.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...Added in version 1.2. Changed in version 1.4: The default value...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html -
brier_score_loss — scikit-learn 1.5.0 documenta...
y_true in {-1, 1} or {0, 1}, pos_label defaults to 1; else if y_true...0 or all -1, in which case pos_label defaults to 1. Read more...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
2.3. Clustering — scikit-learn 1.5.0 documentation
1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...0 , 0 , 1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/clustering.html -
average_precision_score — scikit-learn 1.5.0 do...
1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4 , 0.35..., 0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
pairwise_distances_argmin — scikit-learn 1.5.0 ...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html