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Open Liberty - IBM Developer
pull‑request builds to automated testing, merging, and cloud deployment...really empower you to develop, test, debug, and manage applications...developer.ibm.com/components/open-liberty -
Jaguar Land Rover (JLR) accelerates vehicle int...
the test managers get more reliable and efficient tests and avoid...the production or vehicle testing process. "Our leadership...www.elastic.co/customers/jaguar-land-rover -
5. Inspection — scikit-learn 1.8.0 docume...
that the evaluation metric and test dataset perfectly reflect the...scikit-learn.org/stable/inspection.html -
Quantile regression — scikit-learn 1.8.0 ...
evaluation by looking at the test error obtained by cross-validation....or" ], ) print ( "Test error (cross-validated performance)...scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html -
AtomFeedHttpMessageConverter (Spring Framework ...
Parameters: clazz - the class to test for support Returns: true if...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/http/converter/feed/... -
IBM Power10 Business Inferencing at Scale with ...
yields the best results. Figure 3. N-Beats model test results with...library and therefore easy to test and use. We chose N-Beats because...developer.ibm.com/tutorials/power10-business-inferencing-at-scale-with-mma/ -
Guía de Contribución
comienzan con test Usar el patrón Given-When-Then @Test public void...SearchService (); String query = "test" ; // When: Ejecución del...fess.codelibs.org/es/dev/contributing.html -
ClassifierMixin — scikit-learn 1.8.0 docu...
n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
Tekton - IBM Developer
test, and deploy across multiple...developer.ibm.com/components/tekton -
Lars — scikit-learn 1.8.0 documentation
coefficient of determination on test data. The coefficient of determination,...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html