Reputation: 37
from autogluon.multimodal import MultiModalPredictor
predictor = MultiModalPredictor(label='finallikleyTOAST')
predictor.fit(train_data)
I am using above code for multimodal through autogluon (structured + unstructured)
Number of features: 1258 (structured columns)
Text columns: 2
When I use the above code for multi-modal, the sanity checking takes too long, 1 hour in and the progress bar doesn't show the estimated time.
Is there a way to skip sanity checking? or any optimizations needed in the code?
Upvotes: 1
Views: 93