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reuse pool workers

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This commit is contained in:
Janne Sinivirta 2018-06-19 21:57:42 +03:00
parent 0cb1aedf5b
commit a46badd5c0
1 changed files with 13 additions and 13 deletions
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26
freqtrade/optimize/hyperopt.py
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@ -308,13 +308,12 @@ class Hyperopt(Backtesting):
'result': result_explanation,
}
)
return loss
# return {
# 'loss': loss,
# 'status': STATUS_OK,
# 'result': result_explanation,
# }
return {
'loss': loss,
'status': STATUS_OK,
'result': result_explanation,
}
def format_results(self, results: DataFrame) -> str:
"""
@ -374,13 +373,14 @@ class Hyperopt(Backtesting):
opt = Optimizer(self.hyperopt_space(), "ET", acq_optimizer="sampling")
for i in range(self.total_tries//cpus):
asked = opt.ask(n_points=cpus)
#asked = opt.ask()
#f_val = self.generate_optimizer(asked)
f_val = Parallel(n_jobs=-1)(delayed(self.generate_optimizer)(v) for v in asked)
opt.tell(asked, f_val)
print(f'got value {f_val}')
with Parallel(n_jobs=-1) as parallel:
for i in range(self.total_tries//cpus):
asked = opt.ask(n_points=cpus)
#asked = opt.ask()
#f_val = self.generate_optimizer(asked)
f_val = parallel(delayed(self.generate_optimizer)(v) for v in asked)
opt.tell(asked, [i['loss'] for i in f_val])
print(f'got value {f_val}')
except ValueError: