Advitya17 edited a comment on pull request #513:
URL: https://github.com/apache/madlib/pull/513#issuecomment-688997702
> @Advitya17 What is the syntax error here please?
>
> ```
> SELECT madlib.madlib_keras_automl('cifar10_train_packed',
> 'automl_cifar10_output',
> 'model_arch_library',
> 'automl_cifar_10_mst_table',
> ARRAY[1],
> $${'loss': ['categorical_crossentropy'],
> 'optimizer_params_list': [
> {'optimizer': ['Adam'],'lr': [0.001,
0.0001, 'log']}
> {'optimizer': ['Adam'],'lr': [0.001,
0.0001, 'log']}],
> 'metrics':['accuracy']}$$,
> $${'batch_size': [64, 128], 'epochs': [1]}$$,
> 'hyperband',
> 'R=9, eta=3, skip_last=2');
> ```
>
> ```
> InternalError: (psycopg2.errors.InternalError_) SyntaxError: invalid
syntax (<unknown>, line 1) (plpython.c:5038)
> CONTEXT: Traceback (most recent call last):
> PL/Python function "madlib_keras_automl", line 21, in <module>
> schedule_loader = madlib_keras_automl.KerasAutoML(**globals())
> PL/Python function "madlib_keras_automl", line 42, in wrapper
> PL/Python function "madlib_keras_automl", line 215, in __init__
> PL/Python function "madlib_keras_automl", line 308, in
find_hyperband_config
> PL/Python function "madlib_keras_automl", line 42, in wrapper
> PL/Python function "madlib_keras_automl", line 283, in __init__
> PL/Python function "madlib_keras_automl", line 48, in literal_eval
> PL/Python function "madlib_keras_automl", line 36, in parse
> PL/Python function "madlib_keras_automl"
>
> [SQL: SELECT madlib.madlib_keras_automl('cifar10_train_packed',
> 'automl_cifar10_output',
> 'model_arch_library',
> 'automl_cifar_10_mst_table',
> ARRAY[1],
> $${'loss': ['categorical_crossentropy'],
> 'optimizer_params_list': [
> {'optimizer': ['Adam'],'lr': [0.001,
0.0001, 'log']}
> {'optimizer': ['Adam'],'lr': [0.001,
0.0001, 'log']}],
> 'metrics':['accuracy']}$$,
> $${'batch_size': [64, 128], 'epochs': [1]}$$,
> 'hyperband',
> 'R=9, eta=3, skip_last=2');]
> (Background on this error at: http://sqlalche.me/e/2j85)
> ```
- There needs to be a comma between the dictionaries specified inside
optimizer_params_list
- All the params (except optimizer) in the optimizer_params_list should be
of the format [lower_bound, upper_bound, distribution_type] and you should
specify `[0.0001, 0.001, 'log']` instead of `[0.001, 0.0001, 'log']`.
Thanks for the question though. When I tried it with the right syntax and
got the assertion error related to the format of specifying distribution with
`[0.0001, 0.001, 'log']`, I saw the error message I threw wasn't completely
intuitive, so I can modify its language a bit.
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