facet.selection#
Learner selection with hyperparameter optimization.
Classes#
Select the best model obtained by fitting an estimator using different choices of hyperparameters from one or more |
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A collection of parameter spaces, each representing a competing estimator from which to select the best-performing candidate with optimal hyperparameters. |
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A set of parameter choices or distributions spanning a parameter space for optimizing the hyperparameters of a single estimator. |
Submodules#
Base classes and supporting classes for module |