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  1. OneClassSVM — scikit-learn 1.5.2 documentation

    2.0547..., 2.0556..., 2.0561..., 1.7332...])...
    scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html
    Tue Sep 17 17:21:49 UTC 2024
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  2. Plot classification probability — scikit-learn ...

    figsize = ( 3 * 2 , n_classifiers * 2 ), ) for classifier_idx...more trouble in separating class 2 and 3 than the other estimators....
    scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html
    Thu Sep 19 14:56:26 UTC 2024
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  3. SelectorMixin — scikit-learn 1.5.2 documentation

    mask [: 2 ] = True # select the first two...fit_transform ( X , y ) . shape (150, 2) fit_transform ( X , y = None...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html
    Thu Sep 19 14:56:27 UTC 2024
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  4. check_array — scikit-learn 1.5.2 documentation

    ndim > 2. ensure_min_samples int, default=1...the input data has effectively 2 dimensions or is originally 1D...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html
    Wed Sep 18 20:56:23 UTC 2024
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  5. dict_learning — scikit-learn 1.5.2 documentation

    _Fro ^ 2 + alpha * || U || _1 , 1 ( U , V ) with || V_k || _2 = 1...X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html
    Thu Sep 19 14:56:27 UTC 2024
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  6. MultiLabelBinarizer — scikit-learn 1.5.2 docume...

    2 ), ( 3 ,)]) array([[1, 1, 0],...>>> mlb . classes_ array([1, 2, 3]) >>> mlb . fit_transform ([{...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html
    Thu Sep 19 14:56:28 UTC 2024
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  7. compute_sample_weight — scikit-learn 1.5.2 docu...

    {2:5}, {3:1}, {4:1}] . The "balanced"...
    scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html
    Thu Sep 19 14:56:28 UTC 2024
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  8. euclidean_distances — scikit-learn 1.5.2 docume...

    x ) - 2 * dot ( x , y ) + dot ( y , y...dot-products of vectors in Y (e.g., (Y**2).sum(axis=1) ) May be ignored...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html
    Thu Sep 19 14:56:27 UTC 2024
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  9. CategoricalNB — scikit-learn 1.5.2 documentation

    2. Changed in version 1.4: The default...)) >>> y = np . array ([ 1 , 2 , 3 , 4 , 5 , 6 ]) >>> from sklearn.naive_bayes...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html
    Thu Sep 19 14:56:27 UTC 2024
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  10. Binarizer — scikit-learn 1.5.2 documentation

    2. ], ... [ 2. , 0. , 0. ], ... [ 0. ,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html
    Thu Sep 19 14:56:27 UTC 2024
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