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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