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  1. plot_hgbt_regression.rst.txt

    py: ========== Features in Histogram Gradient...Gradient Boosting Trees ========== :ref:`histogram_based_gradient_boosting`...
    scikit-learn.org/stable/_sources/auto_examples/ensemble/plot_hgbt_regression.rst.txt
    Thu Jul 03 11:42:05 UTC 2025
      22K bytes
     
  2. plot_discretization_strategies.zip

    py """ ========== Demonstrating the different...strategies of KBinsDiscretizer ========== This example presents the...
    scikit-learn.org/stable/_downloads/7b16734166ab4280e940d7fb89dd6113/plot_discretization_strategie...
    Thu Jul 03 11:42:05 UTC 2025
      7.3K bytes
      Similar Results (1)
     
  3. Classifier comparison — scikit-learn 1.7.0 docu...

    C = 0.025 , random_state = 42 ), SVC ( gamma = 2 , C = 1 ,...clf , X , cmap = cm , alpha = 0.8 , ax = ax , eps = 0.5 ) # Plot...
    scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
    Thu Jul 03 11:42:06 UTC 2025
      114.3K bytes
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  4. grid_search_workflow.png

    encoding=ISO-8859-1, compression=none keyword=Software, value=www.inkscape.org...0.08468835 width=2031, height=1362, bitDepth=8, colorType=RGBAlpha,...
    scikit-learn.org/stable/_images/grid_search_workflow.png
    Thu Jul 03 11:42:06 UTC 2025
      80K bytes
     
  5. GMM covariances — scikit-learn 1.7.0 documentation

    bottom = 0.01 , top = 0.95 , hspace = 0.15 , wspace = 0.05 ,...scatterpoints = 1 , loc = "lower right" , prop = dict ( size = 12 ))...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. Support Vector Regression (SVR) using linear an...

    # svr_rbf = SVR ( kernel = "rbf" , C = 100 , gamma = 0.1 , epsilon...epsilon = 0.1 ) svr_lin = SVR ( kernel = "linear" , C = 100 , gamma...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html
    Thu Jul 03 11:42:05 UTC 2025
      97.7K bytes
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  7. Gradient Boosting Out-of-Bag estimates — scikit...

    n_splits = None ): cv = KFold ( n_splits = n_splits ) cv_clf = ensemble...) x1 = random_state . uniform ( size = n_samples ) x2 = random_state...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Thu Jul 03 11:42:06 UTC 2025
      112K bytes
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  8. Multiclass Receiver Operating Characteristic (R...

    pair_list ): a_mask = y_test == label_a b_mask = y_test == label_b ab_mask...plot_chance_level = ( class_id == 2 ), despine = True , ) _ = ax . set...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
    Thu Jul 03 11:42:06 UTC 2025
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  9. Feature discretization — scikit-learn 1.7.0 doc...

    size = 15 , bbox = dict ( boxstyle = "round" , alpha = 0.8 ,...): name = estimator . __class__ . __name__ if name == "Pipeline"...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html
    Thu Jul 03 11:42:06 UTC 2025
      128.7K bytes
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  10. alter-step1-prepare.png

    17639795 width=2289, height=422, bitDepth=8, colorType=RGBAlpha, ...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/intro/alter/alter-step1-prepare.png
    Fri Jun 13 09:55:27 UTC 2025
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