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  1. 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
    Wed Apr 16 15:57:20 UTC 2025
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  2. RidgeClassifier — scikit-learn 1.6.1 documentation

    converts the target values into {-1, 1} and then treats the problem...sklearn.linear_model. RidgeClassifier ( alpha = 1.0 , * , fit_intercept = True ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html
    Thu Apr 17 23:17:16 UTC 2025
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  3. DecisionTreeRegressor — scikit-learn 1.6.1 docu...

    1: monotonic increase 0: no constraint -1: monotonic...min_samples_split = 2 , min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html
    Thu Apr 17 23:17:18 UTC 2025
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  4. SparsePCA — scikit-learn 1.6.1 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...n_components = None , * , alpha = 1 , ridge_alpha = 0.01 , max_iter...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html
    Thu Apr 17 23:17:18 UTC 2025
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  5. RationalQuadratic — scikit-learn 1.6.1 document...

    RationalQuadratic ( length_scale = 1.0 , alpha = 1.0 , length_scale_bounds...RationalQuadratic ( length_scale = 1.0 , alpha = 1.5 ) >>> gpc = GaussianProcessClass...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html
    Thu Apr 17 23:17:16 UTC 2025
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  6. auc — scikit-learn 1.6.1 documentation

    array ([ 1 , 1 , 2 , 2 ]) >>> pred = np . array ([ 0.1 , 0.4 ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html
    Thu Apr 17 23:17:16 UTC 2025
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  7. GridSearchCV — scikit-learn 1.6.1 documentation

    version 1.5: Xt was deprecated in 1.5 and will be removed in 1.7....means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html
    Thu Apr 17 23:17:16 UTC 2025
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  8. KernelRidge — scikit-learn 1.6.1 documentation

    alpha = 1.0 ) >>> krr . fit ( X , y ) KernelRidge(alpha=1.0) fit...sklearn.kernel_ridge. KernelRidge ( alpha = 1 , * , kernel = 'linear' , gamma...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html
    Thu Apr 17 23:17:18 UTC 2025
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  9. TunedThresholdClassifierCV — scikit-learn 1.6.1...

    means 1 unless in a joblib.parallel_backend context. -1 means...... n_samples = 1_000 , weights = [ 0.9 , 0.1 ], class_sep = 0.8...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html
    Thu Apr 17 23:17:18 UTC 2025
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  10. Release Highlights for scikit-learn 1.0 — sciki...

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...import make_pipeline y = [ 1 , 0 , 1 ] pipe = make_pipeline ( preprocessor...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html
    Thu Apr 17 23:17:16 UTC 2025
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