hyperopt Remove unnecessary arguments
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		| @@ -290,7 +290,7 @@ class Hyperopt: | |||||||
|                 # noinspection PyProtectedMember |                 # noinspection PyProtectedMember | ||||||
|                 attr.value = params_dict[attr_name] |                 attr.value = params_dict[attr_name] | ||||||
|  |  | ||||||
|     def generate_optimizer(self, raw_params: List[Any], iteration=None) -> Dict[str, Any]: |     def generate_optimizer(self, raw_params: List[Any]) -> Dict[str, Any]: | ||||||
|         """ |         """ | ||||||
|         Used Optimize function. |         Used Optimize function. | ||||||
|         Called once per epoch to optimize whatever is configured. |         Called once per epoch to optimize whatever is configured. | ||||||
| @@ -411,10 +411,10 @@ class Hyperopt: | |||||||
|         ) |         ) | ||||||
|  |  | ||||||
|     def run_optimizer_parallel( |     def run_optimizer_parallel( | ||||||
|             self, parallel: Parallel, asked: List[List], i: int) -> List[Dict[str, Any]]: |             self, parallel: Parallel, asked: List[List]) -> List[Dict[str, Any]]: | ||||||
|         """ Start optimizer in a parallel way """ |         """ Start optimizer in a parallel way """ | ||||||
|         return parallel(delayed( |         return parallel(delayed( | ||||||
|                         wrap_non_picklable_objects(self.generate_optimizer))(v, i) for v in asked) |                         wrap_non_picklable_objects(self.generate_optimizer))(v) for v in asked) | ||||||
|  |  | ||||||
|     def _set_random_state(self, random_state: Optional[int]) -> int: |     def _set_random_state(self, random_state: Optional[int]) -> int: | ||||||
|         return random_state or random.randint(1, 2**16 - 1) |         return random_state or random.randint(1, 2**16 - 1) | ||||||
| @@ -588,7 +588,7 @@ class Hyperopt: | |||||||
|                         current_jobs = jobs - n_rest if n_rest > 0 else jobs |                         current_jobs = jobs - n_rest if n_rest > 0 else jobs | ||||||
|  |  | ||||||
|                         asked, is_random = self.get_asked_points(n_points=current_jobs) |                         asked, is_random = self.get_asked_points(n_points=current_jobs) | ||||||
|                         f_val = self.run_optimizer_parallel(parallel, asked, i) |                         f_val = self.run_optimizer_parallel(parallel, asked) | ||||||
|                         self.opt.tell(asked, [v['loss'] for v in f_val]) |                         self.opt.tell(asked, [v['loss'] for v in f_val]) | ||||||
|  |  | ||||||
|                         # Calculate progressbar outputs |                         # Calculate progressbar outputs | ||||||
|   | |||||||
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