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Gaussian Process for Machine Learning — scikit-...
Examples concerning the sklearn.gaussian_process module. Ability of Gaussian process regression (GPR) to estimate data noise-level Comparison of kernel ridge and Gaussian process regression Forecas...scikit-learn.org/stable/auto_examples/gaussian_process/index.html -
check_cv — scikit-learn 1.5.2 documentation
y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
Linear Regression Example — scikit-learn 1.5.2 ...
coefficient of determination: 1 is perfect prediction print (...scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html -
scikit-learn: machine learning in Python — scik...
scikit-learn 1.6 (Changelog) . September 2024. scikit-learn 1.5.2 is...). July 2024. scikit-learn 1.5.1 is available for download (...scikit-learn.org/dev/index.html -
deprecated — scikit-learn 1.6.dev0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version deprecated # class sklearn.utils. deprecated ( extra ...scikit-learn.org/dev/modules/generated/sklearn.utils.deprecated.html -
EfficiencyWarning — scikit-learn 1.5.2 document...
Skip to main content Back to top Ctrl + K GitHub EfficiencyWarning # exception sklearn.exceptions. EfficiencyWarning ...scikit-learn.org/stable/modules/generated/sklearn.exceptions.EfficiencyWarning.html -
Joint feature selection with multi-task Lasso —...
ylim ([ - 1.1 , 1.1 ]) plt . show () Total running...(( 1.0 + rng . randn ( 1 )) * times + 3 * rng . randn ( 1 ))...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
Balance model complexity and cross-validated sc...
within 1 standard deviation of the best accuracy score. [1] Hastie,...finding a decent accuracy within 1 standard deviation of the best...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
load_files — scikit-learn 1.5.2 documentation
container_folder/ category_1_folder/ file_1.txt file_2.txt … file_42.txt...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.html -
Concatenating multiple feature extraction metho...
features__univ_select__k=1, svm__C=0.1 [CV 1/5; 1/18] END features_...nts=1, features__univ_select__k=1, svm__C=0.1;, score=1.000 total...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html