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  1. plot_release_highlights_1_7_0.ipynb

    cv=5, return_estimator=True, return_indices=True)\n_ = Roc...uting=True)\n\nX, y = make_classification(random_state=0)\nX_train,...
    scikit-learn.org/stable/_downloads/b7d178d09f44d400894015228deb0ddb/plot_release_highlights_1_7_0...
    Sun Jun 29 19:04:30 UTC 2025
      6.1K bytes
     
  2. MinMaxScaler — scikit-learn 1.7.0 documentation

    feature_range = (0, 1) , * , copy = True , clip = False ) [source]...X_std = ( X - X . min ( axis = 0 )) / ( X . max ( axis = 0 ) -...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html
    Tue Jul 01 15:59:33 UTC 2025
      143.2K bytes
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  3. FixedThresholdClassifier — scikit-learn 1.7.0 d...

    threshold = 'auto' , pos_label = None , response_method = 'auto'...weights = [ 0.9 , 0.1 ], class_sep = 0.8 , random_state = 42 ......
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html
    Tue Jul 01 15:59:32 UTC 2025
      142.5K bytes
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  4. validation_curve — scikit-learn 1.7.0 documenta...

    groups = None , cv = None , scoring = None , n_jobs = None ,...pre_dispatch = 'all' , verbose = 0 , error_score = nan , fit_params...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html
    Tue Jul 01 15:59:33 UTC 2025
      121.9K bytes
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  5. ExtraTreeRegressor — scikit-learn 1.7.0 documen...

    criterion = 'squared_error' , splitter = 'random' , max_depth = None...min_weight_fraction_leaf = 0.0 , max_features = 1.0 , random_state = None , m...
    scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html
    Fri Jun 27 15:51:05 UTC 2025
      161.1K bytes
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  6. 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
    Tue Jul 01 15:59:32 UTC 2025
      175.6K bytes
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  7. Early stopping in Gradient Boosting — scikit-le...

    params = dict ( n_estimators = 1000 , max_depth = 5 , learning_rate...learning_rate = 0.1 , random_state = 42 ) gbm_full = GradientBoostingRegr...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html
    Tue Jul 01 15:59:35 UTC 2025
      108.1K bytes
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  8. MeanShift — scikit-learn 1.7.0 documentation

    min_bin_freq = 1 , cluster_all = True , n_jobs = None , max_iter = 300..., bandwidth = None , seeds = None , bin_seeding = False , min_bin_freq...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html
    Tue Jul 01 15:59:32 UTC 2025
      127.4K bytes
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  9. mean_shift — scikit-learn 1.7.0 documentation

    min_bin_freq = 1 , cluster_all = True , max_iter = 300 , n_jobs = None..., bandwidth = None , seeds = None , bin_seeding = False , min_bin_freq...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html
    Tue Jul 01 15:59:32 UTC 2025
      111.8K bytes
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  10. Orthogonal Matching Pursuit — scikit-learn 1.7....

    data # y = Xw # |x|_0 = n_nonzero_coefs y , X , w = make_sparse_coded_signal...n_samples = 1 , n_components = n_components , n_features = n_features...
    scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html
    Tue Jul 01 15:59:33 UTC 2025
      96.7K bytes
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