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IBM Maximo Application Suite - IBM Developer
test, and deploy custom Python analytics...to send inference results via REST API, enhancing automation and...developer.ibm.com/components/maximo -
Search | IBM Developer
you can begin using cURL to test your endpoints and troubleshoot...introduction to the Google C++ Testing Framework developer.ibm.co...developer.ibm.com/search/ -
SelectPercentile — scikit-learn 1.8.0 doc...
based on a false positive rate test. SelectFdr Select features based...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
Tekton - IBM Developer
test, and deploy across multiple...developer.ibm.com/components/tekton/ -
Get started with Node.js
dependency management Unit testing in Node.js Summary Learning...several tools that can help you test your Node applications to catch...developer.ibm.com/learningpaths/get-started-nodejs/ -
Our Source Code | Elastic
and stands the test of time. 01.02, /FORMAT Our...www.elastic.co/about/our-source-code -
BayesianGaussianMixture — scikit-learn 1....
log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
MultiTaskLasso — scikit-learn 1.8.0 docum...
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.MultiTaskLasso.html -
GaussianProcessRegressor — scikit-learn 1...
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.gaussian_process.GaussianProcessRegressor.html -
1.17. Neural network models (supervised) —...
apply the same scaling to the test set for meaningful results....apply same transformation to test data >>> X_test = scaler...scikit-learn.org/stable/modules/neural_networks_supervised.html