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Prediction Intervals for Gradient Boosting Regr...
It still shows that the best test metric is obtained when the...expected_y + noise Split into train, test datasets: X_train , X_test ,...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
RepeatedKFold — scikit-learn 1.8.0 docume...
index=[0 1] Test: index=[2 3] Fold 1: Train: index=[2 3] Test: index=[0...index=[1 2] Test: index=[0 3] Fold 3: Train: index=[0 3] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
LeaveOneGroupOut — scikit-learn 1.8.0 doc...
test ndarray The testing set indices for that...cross-validator. Provides train/test indices to split data such that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
Writing clean, testable, high quality code in P...
of using Nose to test unit test and doc test coverage on the highlight...avoidable. Writing tests before, such as the case of test-driven development...developer.ibm.com/articles/au-cleancode/ -
f_regression — scikit-learn 1.8.0 documen...
Comparison of F-test and mutual information Comparison of F-test and mutual...Univariate linear regression tests returning F-statistic and p-values....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
AopUtils (Spring Framework 7.0.1 API)
This is an important test as it can be used to optimize...class? This is an important test as it can be used to optimize...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/aop/support/AopUtils... -
fetch_20newsgroups_vectorized — scikit-le...
‘test’ for the test set, ‘all’ for both,...Parameters : subset {‘train’, ‘test’, ‘all’}, default=’train’ Select...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
Développement
Exécution des tests unitaires Étape 4 : Exécution des tests locaux Exécution...Exécution des tests unitaires Exécution des tests d’intégration...fess.codelibs.org/fr/development.html -
WebTestClientResponseAssert (Spring Framework 7...
body converted to text as the object to test. org.assertj.cor...body converted to text as the object to test. WebTestClientRespons...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/test/web/reactive/se... -
Plot classification probability — scikit-...
Round markers represent the test data that was predicted to belong...plotted. The round markers show the test data and are colored by their...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
fetch_rcv1 — scikit-learn 1.8.0 documenta...
‘test’ for the test set (781265 samples),...subfolders. subset {‘train’, ‘test’, ‘all’}, default=’all’ Select...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_rcv1.html -
Dimensionality Reduction with Neighborhood Comp...
= True ) # Split into train/test X_train , X_test , y_train ,...neighbor accuracy on the embedded test set acc_knn = knn . score (...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
Non-negative least squares — scikit-learn...
Split the data in train set and test set from sklearn.model_selection...regularization on training and test error Effect of model regularization...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
minmax_scale — scikit-learn 1.8.0 documen...
splitting into training and test sets. This will bias the model...information would have leaked from the test set to the training set. In...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
Build a scheduled agentic workflow for daily no...
This tutorial was tested with ADK version 1.15. Python...or later. This tutorial was tested with Python 3.13. An active...developer.ibm.com/tutorials/build-scheduled-agentic-workflow/ -
Build machine learning models with and without ...
split data into training and testing data sets, and building the...used. After evaluating on the test set, if the required accuracy...developer.ibm.com/articles/compare-model-building-with-and-without-automated-machine-learning/ -
Shrinkage covariance estimation: LedoitWolf vs ...
) Compute the likelihood on test data # from scipy import linalg..."Error: negative log-likelihood on test data" ) # range shrinkage...scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html -
Set up an end-to-end use case for local AI agen...
build and test AI-driven applications by using REST APIs, an MCP...Key takeaways MCP versus REST APIs: REST endpoints need extra wrappers...developer.ibm.com/tutorials/local-ai-agent-workflow-mcp-watsonx-orchestrate/ -
ElasticNetCV — scikit-learn 1.8.0 documen...
are tested by cross-validation and the one giving the best prediction...default=None Values of alphas to test along the regularization path,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
InstructLab - IBM Developer
how to prepare input files and test fine-tuned output models using...compositional skill for generating test cases in Python. After you download...developer.ibm.com/components/instructlab