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Frank McQuillan closed MADLIB-1449. ----------------------------------- Resolution: Fixed https://github.com/apache/madlib/pull/513 > 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 -- This message was sent by Atlassian Jira (v8.3.4#803005)