TabularPredictor.model_refit_map

TabularPredictor.model_refit_map(inverse=False) → Dict[str, str]

Returns a dictionary of original model name -> refit full model name. Empty unless refit_full=True was set during fit or predictor.refit_full() was called. This can be useful when determining the best model based off of predictor.leaderboard(), then getting the _FULL version of the model by passing its name as the key to this dictionary.

Parameters:

inverse (bool, default = False) – If True, instead returns a dictionary of refit full model name -> original model name (Swap keys with values)

Return type:

Dictionary of original model name -> refit full model name.