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Compare cross decomposition methods — scikit-le...
) X_test_r , Y_test_r = cca . transform ( X_test , Y_test ) Total...Y_train ) X_test_r , Y_test_r = plsca . transform ( X_test , Y_test...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
Comparing Random Forests and Histogram Gradient...
significant improvement of the testing score. Plot results # We can...elapsed computing time and mean test score. Passing the cursor over...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
Robust linear estimator fitting — scikit-learn ...
sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
Comparison of kernel ridge regression and SVR —...
train_time = [] test_time = [] for train_test_size in sizes :...fit ( X [: train_test_size ], y [: train_test_size ]) train_time...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
Elastic Confluence connector reference | Enterp...
Connector testing for more details. To perform E2E testing for the...command: $ make ftest NAME=confluence For faster tests, add the DATA_SIZE=small...www.elastic.co/guide/en/enterprise-search/current/connectors-confluence.html -
Elastic Dropbox connector reference | Enterpris...
Connector testing for more details. To perform E2E testing for the...command: $ make ftest NAME=dropbox For faster tests, add the DATA_SIZE=small...www.elastic.co/guide/en/enterprise-search/current/connectors-dropbox.html -
Overview of multiclass training meta-estimators...
examples Nested versus non-nested cross-validation Nested versus..."DecisionTreeClassifi" : cv_results_tree [ "test_score" ], "OneVsOneClassifier"...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
CategoricalNB — scikit-learn 1.5.0 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
Gradient Boosting Out-of-Bag estimates — scikit...
-= test_score [ 0 ] test_best_iter = x [ np . argmin ( test_score...x = test_best_iter , color = test_color , linestyle = test_line...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Gaussian processes on discrete data structures ...
) X_test = [ "AAA" , "ATAG" , "CTC" , "CT" , "C" ] Y_test = [...len ( X_test )), [ 1.0 if c else - 1.0 for c in Y_test ], s =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Time-related feature engineering — scikit-learn...
test_0 = all_splits [ 0 ] X . iloc [ test_0 ] season...train_4 , test_4 = all_splits [ 4 ] X . iloc [ test_4 ] season...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
Probability calibration of classifiers — scikit...
y_test , sw_train , sw_test = train_test_split ( X , y , sample_weight...split train, test for calibration X_train , X_test , y_train ,...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
Ordinary Least Squares and Ridge Regression Var...
plot ( X_test , clf . predict ( X_test ), color = "gray"...) ax . plot ( X_test , clf . predict ( X_test ), linewidth = 2...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge_variance.html -
6.1. Pipelines and composite estimators — sciki...
X_test , y_train , y_test = train_test_split ( X ,...format ( regr . score ( X_test , y_test ))) R2 score: 0.61 >>> raw_target_regr...scikit-learn.org/stable/modules/compose.html -
10. Common pitfalls and recommended practices —...
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/common_pitfalls.html -
PredefinedSplit — scikit-learn 1.5.0 documentation
Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
Prediction Intervals for Gradient Boosting Regr...
test datasets: X_train , X_test , y_train , y_test = train_test_split...( X_test , y_test , "b." , markersize = 10 , label = "Test observations"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Comparing Target Encoder with Other Encoders — ...
"rmse_test_mean" : rmse_test_score . mean (), "rmse_test_std"...= True , ) rmse_test_score = - result [ "test_score" ] rmse_train_score...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
One-Class SVM versus One-Class SVM using Stocha...
size n_error_test = y_pred_test [ y_pred_test == - 1 ] . size...size n_error_test_sgd = y_pred_test_sgd [ y_pred_test_sgd == - 1...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
Introducing the set_output API — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...X_train ) X_test_scaled = scaler . transform ( X_test ) X_test_scaled...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html