[jira] [Assigned] (MADLIB-1449) DL: Hyperband phase 5 - implement full logic with optional params

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

     [ https://issues.apache.org/jira/browse/MADLIB-1449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan reassigned MADLIB-1449:
---------------------------------------

    Assignee: Advitya Gemawat

> DL:  Hyperband phase 5 - implement full logic with optional params
> ------------------------------------------------------------------
>
>                 Key: MADLIB-1449
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1449
>             Project: Apache MADlib
>          Issue Type: New Feature
>          Components: Deep Learning
>            Reporter: Frank McQuillan
>            Assignee: Advitya Gemawat
>            Priority: Major
>             Fix For: v1.18.0
>
>
> Python code to do some version of this is in https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/Deep-learning/automl/hyperband-diag-cifar10-v1.ipynb
> **Story***
> Do full training with optional parameters included.  The optional params are:
> {code}
> random_state,					-- optional -- from generate model configs vvv
> 	object_table					-- optional
>     use_gpus,						-- optional -- from fit multiple vvv
>     validation_table,				-- optional
>     metrics_compute_frequency,		-- optional
>     name,							-- optional
>     description						-- optional
>     )
> {code}
> **Acceptance**
> 1) TBD



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