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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" -- This message was sent by Atlassian Jira (v8.3.4#803005)