Hi Databricks! I'd like to make a feature request for end users to be able to customize class imbalance behavior in `databricks.automl`, specifically `databricks.automl.classify`. This public documentation describes the default procedure, but my team is unaware of a way for users to modify this behavior. Specifically, we'd like to be able to:
- Toggle class imbalance handling on/off
- Change the threshold at which a dataset is considered imbalanced
- Change the sampling fraction used in downsampling the major class
In the long term, availability of more complex imbalance correction techniques such as SMOTE would be appreciated too.
Thank you.
