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https://issues.apache.org/jira/browse/MADLIB-1480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-1480:
------------------------------------
Priority: Minor (was: Major)
> 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: v1.19.0
>
>
> 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}
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