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  1. consensus_score — scikit-learn 1.6.0 documentation

    float64(1.0) Gallery examples # A demo of...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.consensus_score.html
    Fri Dec 20 11:14:14 UTC 2024
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  2. PLSSVD — scikit-learn 1.6.0 documentation

    1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html
    Fri Dec 20 11:14:16 UTC 2024
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  3. BaggingRegressor — scikit-learn 1.6.0 documenta...

    max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html
    Fri Dec 20 11:14:16 UTC 2024
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  4. SparseRandomProjection — scikit-learn 1.6.0 doc...

    with probability 1 / 2s 0 with probability 1 - 1 / s +sqrt(s) /...Added in version 1.1. density_ float in range 0.0 - 1.0 Concrete density...
    scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html
    Fri Dec 20 11:14:16 UTC 2024
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  5. clone — scikit-learn 1.6.0 documentation

    >>> X = [[ - 1 , 0 ], [ 0 , 1 ], [ 0 , - 1 ], [ 1 , 0 ]] >>> y...y = [ 0 , 0 , 1 , 1 ] >>> classifier = LogisticRegression ()...
    scikit-learn.org/stable/modules/generated/sklearn.base.clone.html
    Fri Dec 20 11:14:16 UTC 2024
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  6. Agglomerative clustering with and without struc...

    ) t = 1.5 * np . pi * ( 1 + 3 * np . random . rand ( 1 , n_samples..."single" )): plt . subplot ( 1 , 4 , index + 1 ) model = AgglomerativeCluster...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html
    Fri Dec 20 11:14:18 UTC 2024
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  7. ARDRegression — scikit-learn 1.6.0 documentation

    [ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) fit ( X , y ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html
    Fri Dec 20 11:14:14 UTC 2024
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  8. DecisionBoundaryDisplay — scikit-learn 1.6.0 do...

    Added in version 1.1. Parameters : xx0 ndarray of...iris . data [:, 1 ] . min (), iris . data [:, 1 ] . max ()) ......
    scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html
    Fri Dec 20 11:14:14 UTC 2024
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  9. OneVsOneClassifier — scikit-learn 1.6.0 documen...

    1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html
    Fri Dec 20 11:14:16 UTC 2024
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  10. SkewedChi2Sampler — scikit-learn 1.6.0 document...

    [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...SkewedChi2Sampler ( * , skewedness = 1.0 , n_components = 100 , random_state...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html
    Fri Dec 20 11:14:14 UTC 2024
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