Prepare categorical variables for config setup#795
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…research#793) Summary: Pull Request resolved: facebookresearch#793 Factory classes to create mean and covariance modules has been refactored to use ConfigurableMixin. This means they follow the same from_config API as all other classes that can be initialized from a config. The old functions are now deprecated and will warn. Differential Revision: D74040481
Summary: Utility context manager that allows us to temporarily modify the class attributes of a factory to make a module for a subclass. Now used in the pairwise factory. Differential Revision: D74192292
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Summary: Pull Request resolved: facebookresearch#795 Unify API to get ready for config use. Differential Revision: D74196201
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Summary: Pull Request resolved: facebookresearch#795 Added factories to create mixed models supporting continuous and discrete (Categorical) parameters together. Categorical parameters can now be enabled in configs. A mixed variable acquisition function generator has been added to support active learning. Differential Revision: D74196201
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Summary: Pull Request resolved: facebookresearch#795 Added factories to create mixed models supporting continuous and discrete (Categorical) parameters together. Categorical parameters can now be enabled in configs. A mixed variable acquisition function generator has been added to support active learning. Differential Revision: D74196201
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Summary: Pull Request resolved: facebookresearch#795 Added factories to create mixed models supporting continuous and discrete (Categorical) parameters together. Categorical parameters can now be enabled in configs. A mixed variable acquisition function generator has been added to support active learning. Differential Revision: D74196201
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This pull request has been merged in 2935332. |
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Summary: Unify API to get ready for config use.
Differential Revision: D74196201