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Don't overpopulate points at the first iteration

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improves hyperopt-performance quite some.
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Matthias
2023-12-15 06:19:50 +01:00
parent 71d3572c27
commit e3fda16d16
1 changed files with 1 additions and 1 deletions
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freqtrade/optimize/hyperopt.py
+1 -1
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@@ -500,7 +500,7 @@ class Hyperopt:
while i < 5 and len(asked_non_tried) < n_points: while i < 5 and len(asked_non_tried) < n_points:
if i < 3: if i < 3:
self.opt.cache_ = {} self.opt.cache_ = {}
asked = unique_list(self.opt.ask(n_points=n_points * 5)) asked = unique_list(self.opt.ask(n_points=n_points * 5 if i > 0 else n_points))
is_random = [False for _ in range(len(asked))] is_random = [False for _ in range(len(asked))]
else: else:
asked = unique_list(self.opt.space.rvs(n_samples=n_points * 5)) asked = unique_list(self.opt.space.rvs(n_samples=n_points * 5))