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Posted to issues@madlib.apache.org by "Nikhil (JIRA)" <ji...@apache.org> on 2019/06/13 17:51:00 UTC

[jira] [Created] (MADLIB-1358) DL: make types consistent

Nikhil created MADLIB-1358:
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             Summary: DL: make types consistent
                 Key: MADLIB-1358
                 URL: https://issues.apache.org/jira/browse/MADLIB-1358
             Project: Apache MADlib
          Issue Type: Improvement
            Reporter: Nikhil
             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.



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