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Introducing Elastic Observability's New Synthet...
monitoring tests Creating end-to-end synthetics monitoring tests Playwright...managed testing service, offering a global network of testing locations....www.elastic.co/blog/new-synthetic-monitoring-observability -
sklearn.gaussian_process.GaussianProcessClassif...
{‘one_vs_rest’, ‘one_vs_one’}, default=’one_vs_rest’ Specifies...are ‘one_vs_rest’ and ‘one_vs_one’. In ‘one_vs_rest’, one binary...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
sklearn.model_selection.ValidationCurveDisplay ...
test_scores = test_scores , score_name =...param_range , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
sklearn.discriminant_analysis.QuadraticDiscrimi...
classification on an array of test vectors X. predict_log_proba...the mean accuracy on the given test data and labels. set_params...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
Contributing — scikit-learn 1.4.2 documentation
sklearn/linear_model/tests/test_logistic.py to run the tests specific to...path/to/tests_for_package see also Testing and improving test coverage...scikit-learn.org/stable/developers/contributing.html -
sklearn.dummy.DummyClassifier — scikit-learn 1....
n_features) Test samples. Passing None as test samples gives...(X) Perform classification on test vectors X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
Putting it all together — scikit-learn 1.4.2 do...
X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...scikit-learn.org/stable/tutorial/statistical_inference/putting_together.html -
sklearn.model_selection.StratifiedGroupKFold — ...
print ( f " Test: index= { test_index } " ) ... print...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
plot_multi_metric_evaluation.ipynb
1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...etc...)\n\nThe ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation....