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

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

     [ https://issues.apache.org/jira/browse/MADLIB-1480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Orhan Kislal updated MADLIB-1480:
---------------------------------
    Fix Version/s: v1.20.0
                       (was: v1.19.0)

> 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
>            Priority: Minor
>             Fix For: v1.20.0
>
>
> 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}



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