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Posted to issues@madlib.apache.org by "Nikhil Kak (Jira)" <ji...@apache.org> on 2021/03/19 20:22:00 UTC

[jira] [Updated] (MADLIB-1470) mlp_classification and weights

     [ https://issues.apache.org/jira/browse/MADLIB-1470?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nikhil Kak updated MADLIB-1470:
-------------------------------
    Fix Version/s: v1.18.0

> mlp_classification and weights
> ------------------------------
>
>                 Key: MADLIB-1470
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1470
>             Project: Apache MADlib
>          Issue Type: Question
>          Components: Module: Neural Networks
>            Reporter: Kevin
>            Priority: Major
>             Fix For: v1.18.0
>
>
> Trying to use mlp_classification with Greenplum
> Doc states weights should be numeric column
> Have tried  following specifications (column name  specified: 'target_weight')
> target_weight numeric(5,3)
> target_weight numeric(4,3)
>  
> but I get following error when attempting to use function mlp_classification with above specification:
> ERROR: plpy.Error: MLP error: Weights should be a numeric type (plpy_elog.c:121)
> CONTEXT: Traceback (most recent call last):
>  PL/Python function "mlp_classification", line 33, in <module>
>   grouping_col)
>  PL/Python function "mlp_classification", line 42, in wrapper
>  PL/Python function "mlp_classification", line 116, in mlp
>  PL/Python function "mlp_classification", line 740, in _validate_params_based_on_minibatch
>  PL/Python function "mlp_classification", line 123, in _assert
> PL/Python function "mlp_classification"



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