Frank McQuillan created MADLIB-1449:
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Summary: 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
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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