Feature importance in Redshift

0

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.

質問済み 2年前290ビュー
1回答
1

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

AWS
サポートエンジニア
回答済み 2年前
  • Is with the CREATE MODEL command automatically the explanation output created? Or how do i have to set it?

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