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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.

主题
分析机器学习和人工智能
标签
分析机器学习和人工智能Amazon Redshift
语言
English
AWS-User-0952941
已提问 2 年前290 查看次数
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
支持工程师
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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