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  1. feature_selection.rst.txt

    = [[0, 0, 1], [0, 1, 0], [1, 0, 0], [0, 1, 1], [0, 1, 0], [0,....8))) >>> sel.fit_transform(X) array([[0, 1], [1, 0], [0, 0], [1,...
    scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt
    Sat Nov 01 09:15:32 UTC 2025
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  2. fetch_olivetti_faces scikit-learn 1.7.2 docum...

    encountered. Added in version 1.5. delay float, default=1.0 Number...return_X_y = False , n_retries = 3 , delay = 1.0 ) [source] # Load the...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html
    Sat Nov 01 09:15:33 UTC 2025
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  3. load_breast_cancer scikit-learn 1.7.2 documen...

    load_breast_cancer () >>> data . target [[ 10 , 50 , 85 ]] array([0, 1, 0]) >>>...list ( data . target_names ) [np.str_('malignant'), np.str_('benign')]...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html
    Sat Nov 01 09:15:33 UTC 2025
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  4. SparsePCA scikit-learn 1.7.2 documentation

    ridge_alpha = 0.01 , max_iter = 1000 , tol = 1e-08 , method = 'lars' , n_jobs...stopping condition. method {lars, cd}, default=lars Method to be...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html
    Sat Nov 01 09:15:33 UTC 2025
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  5. log_loss scikit-learn 1.7.2 documentation

    log_loss ([ "spam" , "ham" , "ham" , "spam" ], ... [[ .1 , .9 ], [...[ .9 , .1 ], [ .8 , .2 ], [ .35 , .65 ]]) 0.21616 Gallery examples...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html
    Sat Nov 01 09:15:33 UTC 2025
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  6. det_curve scikit-learn 1.7.2 documentation

    array([0. , 0.5, 0.5]) >>> thresholds array([0.35, 0.4 , 0.8 ])...([ 0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr , fnr , thresholds = det_curve...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html
    Sat Nov 01 09:15:33 UTC 2025
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  7. rand_score scikit-learn 1.7.2 documentation

    rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings...0 , 0 , 1 , 1 ]) 0.83 Gallery examples # Adjustment for chance...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html
    Sat Nov 01 09:15:33 UTC 2025
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  8. make_biclusters scikit-learn 1.7.2 documentation

    shape (10, 20) >>> rows . shape (2, 10) >>> cols . shape (2, 20) Gallery...biclustering. References [ 1 ] Dhillon, I. S. (2001, August). Co-clustering...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html
    Sat Nov 01 09:15:33 UTC 2025
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  9. make_gaussian_quantiles scikit-learn 1.7.2 do...

    [np.int64(2), np.int64(0), np.int64(1), np.int64(0), np.int64(2)]...X . shape (100, 2) >>> y . shape (100,) >>> list ( y [: 5 ]) [np.int64(2),...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html
    Sat Nov 01 09:15:33 UTC 2025
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  10. make_checkerboard scikit-learn 1.7.2 document...

    biclustering. References [ 1 ] Kluger, Y., Basri, R., Chang, J. T., &...make_checkerboard ( shape = ( 300 , 300 ), n_clusters = 10 , ... random_state...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_checkerboard.html
    Sat Nov 01 09:15:33 UTC 2025
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