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https://issues.apache.org/jira/browse/MADLIB-1470?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17305175#comment-17305175
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Nikhil Kak edited comment on MADLIB-1470 at 3/19/21, 8:23 PM:
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[~kevins1101A]
Thanks for reporting the issue. This should now be fixed as part of
https://github.com/apache/madlib/pull/557. The fix will be released as part of
the next madlib release 1.18.0. If you want to try it before the release, you
can compile madlib from source.
Please let us know if you need more information
was (Author: nkak):
[~kevins1101A]
Thanks for reporting the issue. This should now be fixed as part of
https://github.com/apache/madlib/pull/557. The fix will be released as part of
the next madlib release 1.18.0. If you want to try it before the release, you
can compile madlib from source.
> 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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