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Update hyperopt.py

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Italo 2022-03-20 16:12:06 +00:00
parent 112738d68d
commit fca93d8dfe
1 changed files with 17 additions and 14 deletions
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31
freqtrade/optimize/hyperopt.py
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@ -414,30 +414,33 @@ class Hyperopt:
# Store non-trimmed data - will be trimmed after signal generation.
dump(preprocessed, self.data_pickle_file)
def get_asked_points(self, n_points: int) -> List[Any]:
def get_asked_points(self, n_points: int) -> List[List[Any]]:
'''
Enforce points returned from `self.opt.ask` have not been already evaluated
Steps:
1. Try to get points using `self.opt.ask` first
2. Discard the points that have already been evaluated
3. Retry using `self.opt.ask` up to 3 times
4. If still some points are missing in respect to `n_points`, random sample some points
5. Repeat until at least `n_points` points in the `asked_non_tried` list
6. Return a list with legth truncated at `n_points`
6. Return a list with length truncated at `n_points`
'''
i = 0
asked_non_tried = []
while i < 100:
if len(asked_non_tried) < n_points:
if i < 3:
asked = self.opt.ask(n_points=n_points)
else:
# use random sample if `self.opt.ask` returns points points already tried
asked = self.opt.space.rvs(n_samples=n_points * 5)
asked_non_tried += [x for x in asked if x not in self.opt.Xi and x not in asked_non_tried]
i += 1
asked_non_tried: List[List[Any]] = []
while i < 100 and len(asked_non_tried) < n_points:
if i < 3:
asked = self.opt.ask(n_points=n_points)
else:
break
return asked_non_tried[:n_points]
asked = self.opt.space.rvs(n_samples=n_points * 5)
asked_non_tried += [x for x in asked
if x not in self.opt.Xi
and x not in asked_non_tried]
i += 1
if asked_non_tried:
return asked_non_tried[:n_points]
else:
return self.opt.ask(n_points=n_points)
def start(self) -> None:
self.random_state = self._set_random_state(self.config.get('hyperopt_random_state', None))