TabularPredictor.features¶

TabularPredictor.features(feature_stage: str = 'original') → list[source]¶

Returns a list of feature names dependent on the value of feature_stage.

Parameters:: feature_stage (str, default = 'original') – If ‘original’, returns the list of features specified in the original training data. This feature set is required in input data when making predictions. If ‘transformed’, returns the list of features after pre-processing by the feature generator.
Return type:: Returns a list of feature names