[
https://issues.apache.org/jira/browse/MADLIB-1358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Frank McQuillan closed MADLIB-1358.
-----------------------------------
Resolution: Fixed
https://github.com/apache/madlib/pull/412
> DL: make types consistent
> -------------------------
>
> Key: MADLIB-1358
> URL: https://issues.apache.org/jira/browse/MADLIB-1358
> Project: Apache MADlib
> Issue Type: Improvement
> Reporter: Nikhil
> Priority: Major
> Fix For: v1.16
>
>
> Under deep_learning module (this includes preprocessor, keras model arch
> table, fit, evaluate and predict):
> 1. We would like for independent_var to be float32 (REAL[]) everywhere.
> 2. We would like for dependent_var to be a 16-bit integer (SMALLINT)
> everywhere.
> This will require changing schemas in CREATE TABLES, and argument types to
> UDA functions. We should also create a function to wrap `np.array()` that
> automatically uses `dtype=np.float32`
> - Add dev-check assert for types of class_values, dependent_var,
> independent_var, and model_weights.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
