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  1. OAS — scikit-learn 1.5.2 documentation

    precision_ array([[ 1.7833..., -1.2431... ], [-1.2431..., 3.3889...]])...the estimator. References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html
    Thu Oct 31 11:00:34 UTC 2024
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  2. Isomap — scikit-learn 1.5.2 documentation

    Added in version 1.1. n_components int, default=2...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html
    Thu Oct 31 11:00:32 UTC 2024
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  3. BaseEstimator — scikit-learn 1.5.2 documentation

    array ([ 1 , 0 , 1 ]) >>> estimator . fit ( X ,...__init__ ( self , * , param = 1 ): ... self . param = param ......
    scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html
    Thu Oct 31 11:00:34 UTC 2024
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  4. 4.1. Partial Dependence and Individual Conditio...

    1.1. Partial dependence plots # Partial..., learning_rate = 1.0 , ... max_depth = 1 , random_state = 0...
    scikit-learn.org/stable/modules/partial_dependence.html
    Thu Oct 31 11:00:32 UTC 2024
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  5. MultiOutputRegressor — scikit-learn 1.5.2 docum...

    means 1 unless in a joblib.parallel_backend context. -1 means...train or predict, using n_jobs > 1 can result in slower performance...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html
    Thu Oct 31 11:00:34 UTC 2024
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  6. 1.3. Kernel ridge regression — scikit-learn 1.5...

    content Back to top Ctrl + K GitHub 1.3. Kernel ridge regression # Kernel...model using only approximately 1/3 of the 100 training datapoints...
    scikit-learn.org/stable/modules/kernel_ridge.html
    Thu Oct 31 11:00:32 UTC 2024
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  7. GraphicalLassoCV — scikit-learn 1.5.2 documenta...

    means 1 unless in a joblib.parallel_backend context. -1 means...0.2 , 0.0 , 0.3 , 0.1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>> np...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html
    Thu Oct 31 11:00:34 UTC 2024
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  8. MultinomialNB — scikit-learn 1.5.2 documentation

    Added in version 1.2. Changed in version 1.4: The default value... MultinomialNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Thu Oct 31 11:00:34 UTC 2024
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  9. PLSCanonical — scikit-learn 1.5.2 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.PLSCanonical.html
    Thu Oct 31 11:00:32 UTC 2024
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  10. OrthogonalMatchingPursuit — scikit-learn 1.5.2 ...

    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
    Thu Oct 31 11:00:34 UTC 2024
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