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https://issues.apache.org/jira/browse/MADLIB-1310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan closed MADLIB-1310.
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Resolution: Fixed
https://github.com/apache/madlib/pull/378
> Change the merge code to factor in the no of samples/images per buffer
> ----------------------------------------------------------------------
>
> Key: MADLIB-1310
> URL: https://issues.apache.org/jira/browse/MADLIB-1310
> Project: Apache MADlib
> Issue Type: Bug
> Components: Deep Learning
> Reporter: Nandish Jayaram
> Priority: Major
> Fix For: v1.16
>
>
> Based on the code in PR [https://github.com/apache/madlib/pull/355:]
> Right now while merging the weights, accuracy and loss, we assume that all
> the buffers are of the same size. This may not be true. Ideally we should
> should use the total no of images per segment to average. This can be done by
> adding the no of images to the state and then use this during merge to
> average.
> This can be done by replacing the `buffer_count` variable in state with
> `image_count`.
> Also investigate if there is a better way to pass SD other than the current
> logic i.e.
> {code}
> SD = kwargs['SD']
> {code}
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