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  1. 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
    Fri May 31 14:06:07 UTC 2024
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  2. 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
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  3. 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
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  4. 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
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  5. 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
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  6. 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
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  7. 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
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  8. 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
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  9. 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
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  10. roc_auc_score — scikit-learn 1.5.0 documentation

    classes_[1] and thus estimator.predict_proba(X, y)[:, 1] . The...it is upper bounded by 1. References [ 1 ] Wikipedia entry for...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
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