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  1. 3.3. Tuning the decision threshold for class pr...

    1, 1]) While these hard-coded rules...case an insurance company). 3.3.1.1. Options to tune the decision...
    scikit-learn.org/stable/modules/classification_threshold.html
    Mon Dec 23 08:41:44 UTC 2024
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  2. mean_shift — scikit-learn 1.6.0 documentation

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...6. ], [1.33..., 0.66...]]) >>> labels array([1, 1, 1, 0, 0, 0])...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html
    Mon Dec 23 08:41:44 UTC 2024
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  3. Sparse inverse covariance estimation — scikit-l...

    RandomState ( 1 ) prec = make_sparse_spd_matrix...): plt . subplot ( 2 , 4 , i + 1 ) plt . imshow ( this_cov , interpolation...
    scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html
    Mon Dec 23 08:41:44 UTC 2024
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  4. SVM Margins Example — scikit-learn 1.6.0 docume...

    0 ] * 20 + [ 1 ] * 20 # figure number fignum = 1 # fit the model...is sqrt(1+a^2) away vertically in # 2-d. margin = 1 / np . sqrt...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html
    Mon Dec 23 08:41:44 UTC 2024
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  5. set_config — scikit-learn 1.6.0 documentation

    Added in version 1.1. enable_cython_pairwise_dist...configuration setting. Added in version 1.1. array_api_dispatch bool, default=None...
    scikit-learn.org/stable/modules/generated/sklearn.set_config.html
    Mon Dec 23 08:41:44 UTC 2024
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  6. randomized_svd — scikit-learn 1.6.0 documentation

    approximation problem described in [1] (problem (1.5), p5). Refer to Wikipedia...n_iter=0 or 1 should even work fine in theory (see [1] page 9)....
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html
    Fri Dec 20 11:14:14 UTC 2024
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  7. BernoulliNB — scikit-learn 1.6.0 documentation

    Added in version 1.2. Changed in version 1.4: The default value...sklearn.naive_bayes. BernoulliNB ( * , alpha = 1.0 , force_alpha = True , binarize...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
    Fri Dec 20 11:14:14 UTC 2024
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  8. sigmoid_kernel — scikit-learn 1.7.dev0 document...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...defaults to 1.0 / n_features. coef0 float, default=1 Constant offset...
    scikit-learn.org/dev/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html
    Mon Dec 09 18:03:46 UTC 2024
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  9. coverage_error — scikit-learn 1.6.0 documentation

    y_true = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score = [[ 1 , 0 , 0...0 ], [ 0 , 1 , 1 ]] >>> coverage_error ( y_true , y_score ) np.float64(1.5)...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html
    Mon Dec 23 08:41:44 UTC 2024
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  10. FastICA — scikit-learn 1.6.0 documentation

    The implementation is based on [1] . Read more in the User Guide...performed. Changed in version 1.3: The default value of whiten...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html
    Fri Dec 20 11:14:16 UTC 2024
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