[jira] [Updated] (MADLIB-1481) DL: Passing null or temporal for sample_weight_mode errors out

["Orhan Kislal (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-1481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Orhan Kislal updated MADLIB-1481:
---------------------------------
    Fix Version/s: v1.22.0
                       (was: v1.20.0)

> DL: Passing null or temporal for sample_weight_mode errors out
> --------------------------------------------------------------
>
>                 Key: MADLIB-1481
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1481
>             Project: Apache MADlib
>          Issue Type: Bug
>          Components: Deep Learning
>            Reporter: Frank McQuillan
>            Priority: Minor
>             Fix For: v1.22.0
>
>
> Passing sample_weight_mode as 'temporal' or NULL fails with the following error although both these are valid values.
> Also we don't support sample_weight as a compile param, so maybe supporting sample_weight_mode makes doesn't really add value
> {code}
> ERROR:  spiexceptions.InternalError: plpy.Error: invalid input value for parameter sample_weight_mode=temporal, please refer to the documentation
> {code}
> The actual failure for sample_weight_mode = 'temporal' should be something like
> {code}
> use of '
>                             'sample_weight_mode="temporal") is restricted to '
>                             'outputs that are at least 3D, i.e. that have '
>                             'a time dimension
> {code}



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