Presently, I have a trained classification model running on Datarobot platform. This model was trained on a snapshot train data housed in AI catalog. This train dataset is fed from a view in snowflake.
Next, we plan to add a new feature to this train data and retrain the model. I'll need to redefine the view defn. in snowflake so as to add that feature. The way I plan to go about is as follows;
Modify view defn. in snowflake with the new feature added.
Make a new entry in AI catalog using datarobot snowflake connection. Make sure it is snapshotted.
Create a new project using new dataset, and do the model training in this project.
But above steps seem redundant to me. May I know if I can do a workaround and have an efficient alternative. Help or link to doc is appreciated.