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explicit dimensions, added **kwargs, updated docs

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Italo
2022-01-25 11:43:40 +00:00
parent a4dbdb549d
commit f7a5b2cb71
4 changed files with 27 additions and 6 deletions
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2
freqtrade/optimize/hyperopt.py
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@@ -367,7 +367,7 @@ class Hyperopt:
}
def get_optimizer(self, dimensions: List[Dimension], cpu_count) -> Optimizer:
estimator = self.custom_hyperopt.generate_estimator(dimensions)
estimator = self.custom_hyperopt.generate_estimator(dimensions=dimensions)
acq_optimizer = "sampling"
if isinstance(estimator, str):

4
freqtrade/optimize/hyperopt_auto.py
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@@ -91,5 +91,5 @@ class HyperOptAuto(IHyperOpt):
def trailing_space(self) -> List['Dimension']:
return self._get_func('trailing_space')()
def generate_estimator(self, dimensions: List['Dimension']) -> EstimatorType:
return self._get_func('generate_estimator')(dimensions)
def generate_estimator(self, dimensions: List['Dimension'], **kwargs) -> EstimatorType:
return self._get_func('generate_estimator')(dimensions=dimensions, **kwargs)

2
freqtrade/optimize/hyperopt_interface.py
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@@ -40,7 +40,7 @@ class IHyperOpt(ABC):
IHyperOpt.ticker_interval = str(config['timeframe']) # DEPRECATED
IHyperOpt.timeframe = str(config['timeframe'])
def generate_estimator(self) -> EstimatorType:
def generate_estimator(self, dimensions, **kwargs) -> EstimatorType:
"""
Return base_estimator.
Can be any of "GP", "RF", "ET", "GBRT" or an instance of a class