[jira] [Created] (MADLIB-1480) DL: Passing in weighted_metrics fails

["Frank McQuillan (Jira)" <ji...@apache.org>]

Frank McQuillan created MADLIB-1480:
---------------------------------------

             Summary: DL: Passing in weighted_metrics fails
                 Key: MADLIB-1480
                 URL: https://issues.apache.org/jira/browse/MADLIB-1480
             Project: Apache MADlib
          Issue Type: Bug
          Components: Deep Learning
            Reporter: Frank McQuillan
             Fix For: v1.19.0


Passing in weighted_metrics fails, not sure if we even support it

{code}
SELECT madlib.madlib_keras_fit( 'iris_data_packed', 'iris_model',  'iris_model_arch',                                                                                                                         1, $$loss='categorical_crossentropy',optimizer='Adam(lr=0.1)',metrics=['accuracy'],weighted_metrics=['accuracy']$$,$$batch_size=10,epochs=1$$,1);

ERROR:  spiexceptions.InternalError: ValueError: too many values to unpack (plpy_elog.c:121)  (seg0 slice1 127.0.0.1:6002 pid=84135) (plpy_elog.c:121)
CONTEXT:  Traceback (most recent call last):
  PL/Python function "madlib_keras_fit", line 23, in <module>
    madlib_keras.fit(**globals())
  PL/Python function "madlib_keras_fit", line 42, in wrapper
  PL/Python function "madlib_keras_fit", line 298, in fit
  PL/Python function "madlib_keras_fit", line 520, in compute_loss_and_metrics
  PL/Python function "madlib_keras_fit", line 1001, in get_loss_metric_from_keras_eval
PL/Python function "madlib_keras_fit"
{code}



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