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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:
------------------------------------
Description:
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
was:
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
> 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 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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