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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 updated MADLIB-1448:
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Summary: DL: Hyperband phase 4 - implement full logic with default params
(was: DL: Hyperband phase 5 - implement full logic with optional params)
> 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
> 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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