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MultinomialNB — scikit-learn 1.5.2 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.MultinomialNB.html -
Using a custom agent with the OpenTelemetry Ope...
environment variable set to "test.Testing[methodB]" so that traces...environment variable set to "test.Testing#methodB" so that traces...www.elastic.co/observability-labs/blog/using-the-otel-operator-for-injecting-elastic-agents -
Elastic Jira connector reference | Enterprise S...
Connector testing for more details. To perform E2E testing for the...https://192.158.1.38:8080/ https://test_user.atlassian.net/ Jira project...www.elastic.co/guide/en/enterprise-search/current/connectors-jira.html -
ExtraTreesRegressor — scikit-learn 1.5.2 docume...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.2727... apply ( X )...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
UTFluteのセットアップ | DBFlute
@Java /** * The test case with container for unit test. * @author...PlainTestCase { public void test_demo() { // メソッド名が test で始まること markHere(...dbflute.seasar.org/ja/manual/function/helper/utflute/setup.html -
Partial Dependence and Individual Conditional E...
( f "Test R2 score: { mlp_model . score ( X_test , y_test ) :...f "Test R2 score: { hgbdt_model . score ( X_test , y_test ) :...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
LedoitWolf — scikit-learn 1.5.2 documentation
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
Demonstration of multi-metric evaluation on cro...
'_<scorer_name>' ( 'mean_test_precision' , 'rank_test_precision' , etc…)...style in (( "train" , "--" ), ( "test" , "-" )): sample_score_mean...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
plot_multi_metric_evaluation.py
``'_<scorer_name>'`` (``'mean_test_precision'``, ``'rank_test_precision'``, etc...)...style in (("train", "--"), ("test", "-")): sample_score_mean =...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
TunedThresholdClassifierCV — scikit-learn 1.5.2...
X_test , y_train , y_test = train_test_split ( ......classification_report ( y_test , classifier . predict ( X_test ))) precision...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html