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  1. LeaveOneOut — scikit-learn 1.6.1 documentation

    array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> y = np . array ([ 1 , 2 ]) >>>...0: Train: index=[1] Test: index=[0] Fold 1: Train: index=[0]...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. OneVsRestClassifier — scikit-learn 1.6.1 docume...

    as a 2D binary (0/1) matrix, where [i, j] == 1 indicates the presence...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html
    Sat Apr 19 00:31:20 UTC 2025
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  3. fastica — scikit-learn 1.6.1 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/fastica-function.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. SGDRegressor — scikit-learn 1.6.1 documentation

    l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....True , verbose = 0 , epsilon = 0.1 , random_state = None , learning_rate...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. GaussianRandomProjection — scikit-learn 1.6.1 d...

    Added in version 1.1. n_features_in_ int Number of...n_components = 'auto' , * , eps = 0.1 , compute_inverse_components =...
    scikit-learn.org/stable/modules/generated/sklearn.random_projection.GaussianRandomProjection.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. ClusterMixin — scikit-learn 1.6.1 documentation

    fit_predict ( X ) array([1, 1, 1]) fit_predict ( X , y = None...) ... return self >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. trustworthiness — scikit-learn 1.6.1 documentation

    1]. It is defined as \[T(k) = 1 - \frac{2}{nk (2n...(2n - 3k - 1)} \sum^n_{i=1} \sum_{j \in \mathcal{N}_{i}^{k}}...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. OrthogonalMatchingPursuit — scikit-learn 1.6.1 ...

    either set to 10% of n_features or 1, whichever is greater. tol float,...either set to 10% of n_features or 1, whichever is greater. n_features_in_...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. PoissonRegressor — scikit-learn 1.6.1 documenta...

    predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676...,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html
    Sat Apr 19 00:31:21 UTC 2025
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  10. DummyClassifier — scikit-learn 1.6.1 documentation

    ([ - 1 , 1 , 1 , 1 ]) >>> y = np . array ([ 0 , 1 , 1 , 1 ]) >>>...dummy_clf . predict ( X ) array([1, 1, 1, 1]) >>> dummy_clf . score (...
    scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html
    Sat Apr 19 00:31:22 UTC 2025
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