[tabular] Add predictor.model_hyperparameters() #4901
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prateekdesai04
approved these changes
Feb 18, 2025
| "predict_time": self.predict_time, | ||
| "val_score": self.val_score, | ||
| "hyperparameters": self.params, | ||
| "hyperparameters_user": self.get_hyperparameters_init(), |
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Why is this needed ?
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This contains the exact hyperparameters specified by the user for the model. This way we can retrieve what the user specified the hyperparameters to be, which is different from what the hyperparameters actually are (since the hyperparameters of the model include the default hyperparameters for those unspecified by the user)
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Issue #, if available:
Description of changes:
Adding extra features to better support TabRepo 2.0:
predictor.model_hyperparameters(model)predictor.model_info(model)include_feature_metadataboolean tomodel.get_info(), asfeature_metadatais dependent on AutoGluon unlike all other outputs ofget_infowhich are python native types.TODO:
predictor.export_hyperparameters(models)to return a usablehyperparametersdict that can be passed into a newpredictor.fit(... hyperparameters=hyperparameters)call to reproduce a given AutoGluon stack architecture on new tasks.By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.