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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.

Sujets
AnalytiqueMachine Learning et AI
Balises
AnalytiqueMachine Learning et AIAmazon Redshift
Langue
English
AWS-User-0952941
demandé il y a 2 ans290 vues
1 réponse
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
INGÉNIEUR EN ASSISTANCE TECHNIQUE
AWS-User-1485210
répondu il y a 2 ans
  • AWS-User-0952941
    il y a 2 ans

    Is with the CREATE MODEL command automatically the explanation output created? Or how do i have to set it?

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