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feat: add explicit scenario testing if any parameter is selected

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Matthias
2025-11-01 16:03:01 +01:00
parent c6a7b84684
commit cb7e04bfb0
1 changed files with 5 additions and 1 deletions
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6
freqtrade/optimize/hyperopt/hyperopt_optimizer.py
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@@ -244,6 +244,11 @@ class HyperOptimizer:
self.spaces[space] = self.custom_hyperopt.get_indicator_space(space) self.spaces[space] = self.custom_hyperopt.get_indicator_space(space)
self.dimensions = [s for space in self.spaces.values() for s in space] self.dimensions = [s for space in self.spaces.values() for s in space]
if len(self.dimensions) == 0:
raise OperationalException(
"No hyperopt parameters found to optimize. Did you intend to use different spaces?"
)
self.o_dimensions = self.convert_dimensions_to_optuna_space(self.dimensions)
def assign_params(self, params_dict: dict[str, Any], category: str) -> None: def assign_params(self, params_dict: dict[str, Any], category: str) -> None:
""" """
@@ -413,7 +418,6 @@ class HyperOptimizer:
o_sampler = self.custom_hyperopt.generate_estimator( o_sampler = self.custom_hyperopt.generate_estimator(
dimensions=self.dimensions, random_state=random_state dimensions=self.dimensions, random_state=random_state
) )
self.o_dimensions = self.convert_dimensions_to_optuna_space(self.dimensions)
if isinstance(o_sampler, str): if isinstance(o_sampler, str):
if o_sampler not in optuna_samplers_dict.keys(): if o_sampler not in optuna_samplers_dict.keys():