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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.

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分析機器學習與 AI
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分析機器學習與 AIAmazon Redshift
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English
AWS-User-0952941
已提問 2 年前檢視次數 290 次
1 個回答
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

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支援工程師
AWS-User-1485210
已回答 2 年前
  • AWS-User-0952941
    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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