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As a data scientist, I wish I could use Featuretools to evaluate the enriched features
I think adding an integration/tutorial and the right documentation of the framework can go a long way.
So you'd use featuretools to get passed the feature engineering stage, and then you'll check it's weight and influence via sklearn-evaluation.
This will allow an easier mechanism for the users to iterate faster and get to the bottom line easily.
The text was updated successfully, but these errors were encountered:
I think adding an integration/tutorial and the right documentation of the framework can go a long way.
So you'd use featuretools to get passed the feature engineering stage, and then you'll check it's weight and influence via sklearn-evaluation.
This will allow an easier mechanism for the users to iterate faster and get to the bottom line easily.
The text was updated successfully, but these errors were encountered: