Pass dimensions to generate_estimator
It's needed in order to create isotropic kernels for the GaussianProcessRegressor
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@@ -367,7 +367,7 @@ class Hyperopt:
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}
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def get_optimizer(self, dimensions: List[Dimension], cpu_count) -> Optimizer:
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estimator = self.custom_hyperopt.generate_estimator()
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estimator = self.custom_hyperopt.generate_estimator(dimensions)
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acq_optimizer = "sampling"
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if isinstance(estimator, str):
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