kaknikhil commented on a change in pull request #372: DL: Trap unsupported
options for compile and fit params
URL: https://github.com/apache/madlib/pull/372#discussion_r279022582
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File path: src/ports/postgres/modules/deep_learning/madlib_keras_wrapper.py_in
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@@ -199,7 +215,34 @@ def get_optimizers():
def compile_model(model, compile_params):
optimizers = get_optimizers()
(opt_name,final_args,compile_dict) = parse_compile_params(compile_params)
- optimizer = optimizers[opt_name](**final_args) if final_args else opt_name
- model.compile(optimizer=optimizer,
- loss=compile_dict['loss'],
- metrics=compile_dict['metrics'])
+ compile_dict['optimizer'] = optimizers[opt_name](**final_args) if
final_args else opt_name
+ validate_compile_params(compile_dict)
+ model.compile(**compile_dict)
+
+def validate_compile_params(compile_dict):
+ _assert(compile_dict['metrics'] is None or type(compile_dict['metrics'])
is list,
+ "wrong input type for compile parameter metrics: multi-output
model"
+ "is not supported yet, please pass a list")
+
+ _assert(compile_dict['loss_weights'] is None or
+ type(compile_dict['loss_weights']) is list or
+ type(compile_dict['loss_weights']) is dict,
+ "wrong input type for compile parameter loss_weights: only list "
+ "and dictionary are supported for now")
+ _assert(compile_dict['weighted_metrics'] is None or
+ type(compile_dict['weighted_metrics']) is list,
+ "wrong input type for compile parameter weighted_metrics: only
list "
+ "is supported for now")
+
+ _assert(compile_dict['sample_weight_mode'] is None or
+ compile_dict['sample_weight_mode'] == "temporal",
+ """compile parameter sample_weight_mode can only be "temporal" or
None {0}
+ """.format(compile_dict['sample_weight_mode']))
+
+ accepted_compile_params = ['optimizer', 'loss', 'metrics', 'loss_weights',
+ 'weighted_metrics', 'sample_weight_mode']
+ for ckey in compile_dict.keys():
+ _assert(ckey in accepted_compile_params,
+ "{0} is not accepted as a compile parameter yet.".format(ckey))
Review comment:
Maybe we should also prompt the user to review the dl docs
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