Pavan Kumar Nagula created MADLIB-1467:
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Summary: madlib_keras_fit_multiple_model goes down with an
IndexError: tuple index out of range
Key: MADLIB-1467
URL: https://issues.apache.org/jira/browse/MADLIB-1467
Project: Apache MADlib
Issue Type: Bug
Components: Deep Learning
Reporter: Pavan Kumar Nagula
SELECT
madlib.madlib_keras_fit_multiple_model('ml_ntwrk_training_final_dl_packed', --
source_table
'ml_ntwrk_multi_model', -- model_output_table
'mst_table', -- model_selection_table
10, -- num_iterations
TRUE, -- use gpus
'ml_ntwrk_validation_final_dl_packed',
3,
FALSE
);
ERROR: spiexceptions.InternalError: IndexError: tuple index out of range
(plpy_elog.c:121) (seg3 10.138.15.194:40003 pid=15416) (plpy_elog.c:121)
CONTEXT: Traceback (most recent call last):
PL/Python function "madlib_keras_fit_multiple_model", line 25, in <module>
fit_obj.fit_multiple_model()
PL/Python function "madlib_keras_fit_multiple_model", line 280, in
fit_multiple_model
PL/Python function "madlib_keras_fit_multiple_model", line 319, in
train_multiple_model
PL/Python function "madlib_keras_fit_multiple_model", line 996, in run_training
configauration in mst_table
config in mst_table SELECT * FROM mst_table ORDER BY mst_key;
[4:39|https://pivotal.slack.com/archives/D01MS1EBQ4T/p1613032760009700]
mst_key model_id compile_params fit_params
1 2
loss='categorical_crossentropy',optimizer='Adam(lr=0.001)',metrics=['accuracy']
batch_size=128,epochs=3,
class_weight={0: 96.67510706743768,
1: 7099.175362318841,
2: 26621.907608695652,
3: 4018.4011484823627,
4: 17747.9384057971,
5: 17.063958085855717,
6: 10141.679089026915,
7: 23663.917874396135,
8: 30425.037267080745,
9: 0.19866780178818547,
10: 91.95823008185026,
11: 70991.7536231884,
12: 53243.815217391304,
13: 806.7244729907774,
14: 20.452824437680324,
15: 21297.52608695652,
16: 13.401413344422679,
17: 0.07584896996158862,
18: 106487.63043478261,
19: 217.54367810987253,
20: 208.79927536231884,
21: 10648.76304347826,
22: 0.2189344373189497}
PL/Python function "madlib_keras_fit_multiple_model
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