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Posted to issues@madlib.apache.org by "Frank McQuillan (JIRA)" <ji...@apache.org> on 2019/06/13 19:32:00 UTC

[jira] [Created] (MADLIB-1359) Support DL predict without training on MADlib

Frank McQuillan created MADLIB-1359:
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             Summary: Support DL predict without training on MADlib
                 Key: MADLIB-1359
                 URL: https://issues.apache.org/jira/browse/MADLIB-1359
             Project: Apache MADlib
          Issue Type: New Feature
          Components: Module: Neural Networks
            Reporter: Frank McQuillan
             Fix For: v1.17


Story

As a data scientist,
I want to download a model architecture and weights from an external source and run predict with MADlib (without training on MADlib)
so that
I can use models designed trained elsewhere without having to do all that work myself

Acceptance

1.  Download a simple model for MNIST and load into model arch table using helper functions.  Run predict on test examples and get predictions.
2.  Same as #1 with Places 10 (?) using VGG16 weights.



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