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Posted to issues@madlib.apache.org by "Frank McQuillan (JIRA)" <ji...@apache.org> on 2018/12/05 19:19:00 UTC
[jira] [Closed] (MADLIB-1286) Mean and std_dev from standardization
not used in predict
[ https://issues.apache.org/jira/browse/MADLIB-1286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Frank McQuillan closed MADLIB-1286.
-----------------------------------
Resolution: Not A Problem
> Mean and std_dev from standardization not used in predict
> ---------------------------------------------------------
>
> Key: MADLIB-1286
> URL: https://issues.apache.org/jira/browse/MADLIB-1286
> Project: Apache MADlib
> Issue Type: Bug
> Components: Module: Regularized Regression
> Reporter: Nandish Jayaram
> Priority: Major
> Fix For: v1.16
>
>
> Elastic net train has a parameter called _standardize_. When this flag is set, train creates a new temp table with standardized independent variable and uses it for training. But, the mean and std_dev computed in this standardization process is not captured in the output table. So during predict, the independent variable is not standardized (with the mean and std_dev that was used to standardize training data) if the model was trained with _standardize=true_.
> Is this expected behavior? If not, this seems like a bug.
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