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I know with regular use of ludwig, you can get the pre-processed data back like this:
(self.evaluation_statistics, training_statistics, self.preprocessed_data, output_directory) = self.model.experiment(**self.train_kwargs)
OR
train_stats, preprocessed_data, output_directory = self.model.train(**self.train_kwargs)
but I don't see a way to do that if I use autoML, which just returns auto_train_results.
Any ideas?
thanks
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