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https://issues.apache.org/jira/browse/MADLIB-1448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan closed MADLIB-1448.
-----------------------------------
    Resolution: Fixed

https://github.com/apache/madlib/pull/513

> DL:  Hyperband phase 4 - implement full logic with default params
> -----------------------------------------------------------------
>
>                 Key: MADLIB-1448
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1448
>             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 the actual training but do not worry about the optional parameters, unless 
> it is more work to take them out than to leave them in.  Mandatory params are:
> {code}
> madlib_keras_automl(
>     source_table,                                     -- input
>     model_output_table,                               -- output
>     model_selection_table,                    -- output
>     model_arch_table,                         -- input
>     model_id_list,
>       compile_params_grid,
>       fit_params_grid,
>     automl_method,                                    -- new params vvv
>     automl_params                                     
> )
> {code}
> **Acceptance**
> 1) TBD



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