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Do not run optimizer for 'jobs' epochs for the last iteration

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hroff-1902 2020-03-03 01:33:11 +03:00 committed by GitHub
parent a7d4755859
commit 45c9496792
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1 changed files with 6 additions and 6 deletions
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freqtrade/optimize/hyperopt.py
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@ -572,16 +572,16 @@ class Hyperopt:
logger.info(f'Effective number of parallel workers used: {jobs}') logger.info(f'Effective number of parallel workers used: {jobs}')
EVALS = ceil(self.total_epochs / jobs) EVALS = ceil(self.total_epochs / jobs)
for i in range(EVALS): for i in range(EVALS):
asked = self.opt.ask(n_points=jobs) # Correct the number of epochs to be processed for the last
# iteration (should not exceed self.total_epochs in total)
n_rest = (i + 1) * jobs - self.total_epochs
current_jobs = jobs - n_rest if n_rest > 0 else jobs
asked = self.opt.ask(n_points=current_jobs)
f_val = self.run_optimizer_parallel(parallel, asked, i) f_val = self.run_optimizer_parallel(parallel, asked, i)
self.opt.tell(asked, [v['loss'] for v in f_val]) self.opt.tell(asked, [v['loss'] for v in f_val])
self.fix_optimizer_models_list() self.fix_optimizer_models_list()
# Correct the number of epochs to handled for the last
# iteration (should not exceed self.total_epochs)
n_rest = (i + 1) * jobs - self.total_epochs
current_jobs = jobs - n_rest if n_rest > 0 else jobs
for j in range(current_jobs): for j in range(current_jobs):
# Use human-friendly indexes here (starting from 1) # Use human-friendly indexes here (starting from 1)
current = i * jobs + j + 1 current = i * jobs + j + 1