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automl.py serves to purposes; being the base class of a scikit-learn like estimator object and being directly usable with a data manager. It should rather be an abstract base class and all functionality regarding data loading and special fit semantics go into a special subclass. This would also free the AutoSklearnClassifier from being a subclass of multiprocessing.Process.
The text was updated successfully, but these errors were encountered:
automl.py serves to purposes; being the base class of a scikit-learn like estimator object and being directly usable with a data manager. It should rather be an abstract base class and all functionality regarding data loading and special fit semantics go into a special subclass. This would also free the AutoSklearnClassifier from being a subclass of multiprocessing.Process.
The text was updated successfully, but these errors were encountered: