Feature importance in Redshift

Question

After creating and finishing the model training in Redshift we can predict with the new model. 
How can we see the target function of the model or feature importance of the single columns which were used as an input? To describe it in another way we want to see the correlations to the target column after the model training.

Answer

Hello, this information is mentioned on this documentation guide ->https://docs.aws.amazon.com/redshift/latest/dg/clarify.html. Basically it talks about the EXPLAIN_MODEL function that helps you understand how each attribute in your training data contributes to the predicted result ->https://docs.aws.amazon.com/redshift/latest/dg/ml-function.html

Feature importance in Redshift

Relevanter Inhalt