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  1. TunedThresholdClassifierCV — scikit-learn 1.8.0...

    means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 On this...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html
    Mon Mar 23 20:39:23 UTC 2026
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  2. locally_linear_embedding — scikit-learn 1.8.0 d...

    n_neighbors > n_components * (1 + (n_components + 1) / 2. see reference...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. RegressorMixin — scikit-learn 1.8.0 documentation

    array ([ - 1 , 0 , 1 ]) >>> estimator . fit ( X...__init__ ( self , * , param = 1 ): ... self . param = param ......
    scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. MultiLabelBinarizer — scikit-learn 1.8.0 docume...

    fit_transform ([( 1 , 2 ), ( 3 ,)]) array([[1, 1, 0], [0, 0, 1]]) >>> mlb...{ 'comedy' }]) array([[0, 1, 1], [1, 0, 0]]) >>> list ( mlb ....
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. BernoulliRBM — scikit-learn 1.8.0 documentation

    1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]]) >>> model...= 256 , * , learning_rate = 0.1 , batch_size = 10 , n_iter = 10...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. MeanShift — scikit-learn 1.8.0 documentation

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering ....
    scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html
    Mon Mar 23 20:39:23 UTC 2026
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  7. RANSACRegressor — scikit-learn 1.8.0 documentation

    min_samples int (>= 1) or float ([0, 1]), default=None Minimum...min_samples is chosen as X.shape[1] + 1 . This parameter is highly...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html
    Mon Mar 23 20:39:20 UTC 2026
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  8. ParameterGrid — scikit-learn 1.8.0 documentation

    [{ 'a' : 1 , 'b' : True }, { 'a' : 1 , 'b' : False },...( grid )[ 1 ] == { 'kernel' : 'rbf' , 'gamma' : 1 } True On this...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. Binarizer — scikit-learn 1.8.0 documentation

    ( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html
    Mon Mar 23 20:39:23 UTC 2026
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  10. NeighborhoodComponentsAnalysis — scikit-learn 1...

    If 1, progress messages will be printed to stdout. If > 1, progress...<= min(n_features, n_classes - 1) we use 'lda' , as it uses labels...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html
    Mon Mar 23 20:39:20 UTC 2026
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