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Pass dimensions to generate_estimator

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It's needed in order to create isotropic kernels for the GaussianProcessRegressor
This commit is contained in:
Italo
2022-01-19 01:07:41 +00:00
parent 301b2e8a0f
commit 407c20412d
3 changed files with 6 additions and 3 deletions
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3
.gitignore vendored
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@@ -100,3 +100,6 @@ target/
!config_examples/config_ftx.example.json
!config_examples/config_full.example.json
!config_examples/config_kraken.example.json
docker-compose.yml
.DS_Store
user_data/data/.gitkeep

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()
estimator = self.custom_hyperopt.generate_estimator(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) -> EstimatorType:
return self._get_func('generate_estimator')()
def generate_estimator(self, dimensions) -> EstimatorType:
return self._get_func('generate_estimator')(dimensions)