[jira] [Closed] (MADLIB-1304) Figure out image input shapes allowed for keras_fit()

["Frank McQuillan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-1304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan closed MADLIB-1304.
-----------------------------------
    Resolution: Fixed

https://github.com/apache/madlib/pull/367

> Figure out image input shapes allowed for keras_fit()
> -----------------------------------------------------
>
>                 Key: MADLIB-1304
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1304
>             Project: Apache MADlib
>          Issue Type: Improvement
>          Components: Module: Neural Networks
>            Reporter: Frank McQuillan
>            Priority: Major
>             Fix For: v1.16
>
>
> Context/assumption
> Assume the user has the input shape correct to match the model architecture. It's up to them.
> Story
> Do not re-shape image inputs.
> Add a validation check to fit() that input shape = model architecture expected shape (not 100% guarantee) but will help to catch many errors.
> Options
> channel first, e.g., (3, 224, 224)
> channel last, (224, 224, 3)
> flattened
> other? YES - all shapes supported, we will just mini-batch and pass it along
> Questions
> 1) Q: which input formats to support?
> A: all
> 2) Q: What input validation to do?
> A: Add a validation check in fit() to ensure input shape = model architecture expected shape (not 100% guarantee) but will help to catch many errors.
> 3) Q: Does current code in DL mini-batch pre-processor pack correctly as is and pass it thru?
> A: Yes but need to do some testing



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