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https://issues.apache.org/jira/browse/MADLIB-1223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16432786#comment-16432786
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Frank McQuillan commented on MADLIB-1223:
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I also tried this with regression and dropped the source table before calling
predict and it worked OK.
> MLP regression predict fails if input table does not exist
> ----------------------------------------------------------
>
> Key: MADLIB-1223
> URL: https://issues.apache.org/jira/browse/MADLIB-1223
> Project: Apache MADlib
> Issue Type: Bug
> Components: Module: Neural Networks
> Reporter: Nikhil
> Priority: Major
> Fix For: v1.14
>
>
> If a model is trained with mlp regression and then the input table is
> dropped, mlp predict fails for that model.
> Ideally the predict function should not depend on the existence of the
> training data.
> The predict code for regression only needs to know if the dependent varname
> type is an array or not. This information can be potentially stored in the
> model's summary table.
> We also need to make sure that the predict function is backwards compatible.
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