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Multiclass methods — scikit-learn 1.7.2 documen...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Multioutput methods — scikit-learn 1.7.2 docume...
Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chainscikit-learn.org/stable/auto_examples/multioutput/index.html -
SelectFromModel — scikit-learn 1.7.2 documentation
[ - 1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65...version 0.20. Changed in version 1.1: max_features accepts a callable....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
HTTP configuration options | APM Java Agent Ref...
capture_body_content_types ( [ 1.5.0 ] Added in 1.5.0. performance) Configures...transaction_ignore_user_agents ( [ 1.22.0 ] Added in 1.22.0. ) Used to restrict...www.elastic.co/guide/en/apm/agent/java/current/config-http.html -
Gaussian Mixture Model Sine Curve — scikit-lear...
1 , 1 + index ) for i , ( mean , covar...random . normal ( 0 , 0.1 ) X [ i , 1 ] = 3.0 * ( np . sin ( x...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
Illustration of prior and posterior Gaussian pr...
"Observations" ) axs [ 1 ] . legend ( bbox_to_anchor = ( 1.05 , 1.5 ), loc..."Observations" ) axs [ 1 ] . legend ( bbox_to_anchor = ( 1.05 , 1.5 ), loc...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
AdaBoostRegressor — scikit-learn 1.7.2 document...
the range [1, inf) . learning_rate float, default=1.0 Weight applied...n_estimators = 50 , learning_rate = 1.0 , loss = 'linear' , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
HuberRegressor — scikit-learn 1.7.2 documentation
epsilon = 1.35 , max_iter = 100 , alpha =...Parameters : epsilon float, default=1.35 The parameter epsilon controls...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
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 -
Balance model complexity and cross-validated sc...
within 1 standard deviation of the best accuracy score. [1] Hastie,...test_scores , axis = 1 ) - np . std ( test_scores , axis = 1 ), np . mean...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html