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Installation
production environment or for load testing is not recommended with the...fess.codelibs.org/14.12/install/install.html -
Installation
production environment or for load testing is not recommended with the...fess.codelibs.org/14.13/install/install.html -
fess lastadoc
dfmail Test Mail TestmailPostcard 1 crawler.dfmail...String testmail.dfmail Title: Test Mail Class: org.codelibs.fe...fess.codelibs.org/lastadoc-fess.html -
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.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 -
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 -
sklearn.naive_bayes.ComplementNB — scikit-learn...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
plot_multi_metric_evaluation.py
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
Model selection: choosing estimators and their ...
X_digits [ test ], y_digits [ test ]) ... for train , test in k_fold..., y_train ) . score ( X_test , y_test )) >>> print ( scores )...scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html