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Currently when you call tabnet::tabnet() it fits the model and then calculates feature imporances. This step can take a non trivial amount of time. When you are doing multiple fits like for hyperparameter tuning you only need the feature importances for your final model so it would be good if this step could me made optional.
The text was updated successfully, but these errors were encountered:
Currently when you call tabnet::tabnet() it fits the model and then calculates feature imporances. This step can take a non trivial amount of time. When you are doing multiple fits like for hyperparameter tuning you only need the feature importances for your final model so it would be good if this step could me made optional.
The text was updated successfully, but these errors were encountered: