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  1. HistGradientBoostingClassifier — scikit-learn 1...

    n_iter_no_change = 10 , tol = 1e-07 , verbose = 0 , random_state = None ,...loss = 'log_loss' , * , learning_rate = 0.1 , max_iter = 100 ,...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html
    Thu Jul 03 11:42:06 UTC 2025
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  2. glossary.rst.txt

    _glossary: ========== Glossary of Common Terms and API Elements ==========...props`. General Concepts ========== .. glossary:: 1d 1d array...
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      89.3K bytes
      1 views
     
  3. cluster_optics_xi — scikit-learn 1.7.0 document...

    min_cluster_size = None , xi = 0.05 , predecessor_correction = True ) [source]...max_eps = np . inf , ... metric = "minkowski" , ... p = 2 , ......
    scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. cross_validate — scikit-learn 1.7.0 documentation

    y = None , * , groups = None , scoring = None , cv = None...n_jobs = None , verbose = 0 , params = None , pre_dispatch = '2*n_jobs'...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. A demo of the Spectral Biclustering algorithm —...

    shape = ( 300 , 300 ), n_clusters = n_clusters , noise = 10 ,...make_checkerboard n_clusters = ( 4 , 3 ) data , rows , columns = make_checkerboard...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. ExpSineSquared — scikit-learn 1.7.0 documentation

    length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds = (1e-05,...>>> X , y = make_friedman2 ( n_samples = 50 , noise = 0 , random_state...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. Comparison of F-test and mutual information — s...

    fontsize = 14 ) if i == 0 : plt . ylabel ( "$y$" , fontsize = 14 )...seed ( 0 ) X = np . random . rand ( 1000 , 3 ) y = X [:, 0 ] +...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html
    Thu Jul 03 11:42:05 UTC 2025
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  8. PredefinedSplit — scikit-learn 1.7.0 documentation

    Train: index=[1 2 3] Test: index=[0] Fold 1: Train: index=[0 2] Test:...get_n_splits ( X = None , y = None , groups = None ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. PowerTransformer — scikit-learn 1.7.0 documenta...

    given by: if X >= 0 and lambda_ == 0 : X_original = exp ( X ) - 1...method = 'yeo-johnson' , * , standardize = True , copy = True )...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. GaussianProcessRegressor — scikit-learn 1.7.0 d...

    ( kernel = None , * , alpha = 1e-10 , optimizer = 'fmin_l_bfgs_b'...n_restarts_optimizer = 0 , normalize_y = False , copy_X_train = True , n_targets...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html
    Thu Jul 03 11:42:06 UTC 2025
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