[jira] [Commented] (MADLIB-1447) DL: Hyperband phase 3 - logic for diagonal runs

["Advitya Gemawat (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MADLIB-1447?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17180024#comment-17180024 ] 

Advitya Gemawat commented on MADLIB-1447:
-----------------------------------------

[~fmcquillan] This was changed to story 2 (and vice versa) on the tracker story and it's already done.

> DL:  Hyperband phase 3 - logic for diagonal runs
> ------------------------------------------------
>
>                 Key: MADLIB-1447
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1447
>             Project: Apache MADlib
>          Issue Type: New Feature
>            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***
> Implement the diagonal logic without doing the actual training, i.e., don't call fit.  Print out to console so we can see the logic is correct. 
> **Acceptance**
> 1) For `R=81, eta=3` print out the s, i, n_i and r_i values to prove that the diagonal logic is working properly
> 2) Set skip_last =1 and check logic again
> 3) Try multiple other values and check that logic is correct.



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