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Contributing — scikit-learn 1.6.dev0 documentation
sklearn/linear_model/tests/test_logistic.py to run the tests specific to...sklearn path/to/tests See also Testing and improving test coverage ....scikit-learn.org/dev/developers/contributing.html -
model_evaluation.rst.txt
ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
Real User Monitoring (RUM) with Elastic Observa...
and test your user journeys all within...Learn more Synthetic monitoring Test user journeys to deliver a great...www.elastic.co/observability/real-user-monitoring -
MLPRegressor — scikit-learn 1.5.0 documentation
X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
DummyRegressor — scikit-learn 1.5.0 documentation
n_features) Test samples. Passing None as test samples gives...# Perform classification on test vectors X. Parameters : X array-like...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
LinearDiscriminantAnalysis — scikit-learn 1.5.0...
n_features) Array of samples (test vectors). Returns : C ndarray...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
KNeighborsRegressor — scikit-learn 1.5.0 docume...
n_indexed) if metric == ‘precomputed’ Test samples. Returns : y ndarray...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
Getting started with the Elastic AI Assistant f...
Click the Save & test button to create the connector....confirmation that the connector test was successful. Add an example...www.elastic.co/observability-labs/blog/elastic-ai-assistant-observability-amazon-bedrock -
ElasticNetCV — scikit-learn 1.5.0 documentation
are tested by cross-validation and the one giving the best prediction...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
GaussianNB — 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.GaussianNB.html