njayaram2 commented on a change in pull request #385: DL: Make metrics and loss
optional compile parameters
URL: https://github.com/apache/madlib/pull/385#discussion_r281310170
##########
File path: src/ports/postgres/modules/deep_learning/madlib_keras_wrapper.py_in
##########
@@ -131,17 +131,26 @@ def parse_and_validate_compile_params(str_of_args):
compile_dict: Dictionary of arguments for keras.compile
"""
- compile_dict = convert_string_of_args_to_dict(str_of_args)
-
- opt_name,opt_args = parse_optimizer(compile_dict)
- compile_dict['loss'] = parse_loss(compile_dict)
literal_eval_compile_params = ['metrics', 'loss_weights',
'weighted_metrics', 'sample_weight_mode']
accepted_compile_params = literal_eval_compile_params + ['optimizer',
'loss']
+ compile_dict = convert_string_of_args_to_dict(str_of_args)
compile_dict = validate_and_literal_eval_keys(compile_dict,
literal_eval_compile_params,
accepted_compile_params)
+
+ if 'optimizer' in compile_dict.keys():
+ opt_name,opt_args = parse_optimizer(compile_dict)
+ else:
+ plpy.error("optimizer is a required parameter for compile")
+
+
+ if 'loss' in compile_dict.keys():
+ compile_dict['loss'] = parse_loss(compile_dict)
+ else:
+ plpy.error("loss is a required parameter for compile")
+
Review comment:
A minor coding style comment, we could use `_assert` instead of if-else
blocks here:
```
_assert('optimizer' in compile_dict.keys(), "optimizer is a required
parameter for compile")
opt_name, opt_args = parse_optimizer(compile_dict)
_assert('loss' in compile_dict.keys(), "loss is a required parameter for
compile")
compile_dict['loss'] = parse_loss(compile_dict)
```
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