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NCA-ADS - Machine Learning With RAPIDS - Section 2.4

Tune hyperparameters.

Apply grid search, random search, and Bayesian optimisation to find hyperparameter configurations that improve model performance. Understand why tuning must be performed on validation data only, keeping the test set unseen until final evaluation.

More in this domain

Train models on the GPU with cuML and XGBoost.Section 2.1
Apply regression, classification, and clustering.Section 2.2
Evaluate models.Section 2.3
Apply cross-validation methods.Section 2.5
Interpret performance metrics.Section 2.6

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