logger.info("Collect tasks that needs to be calculated")
for optimizer in config.LIST_OF_OPTIMIZERS:
for problem in config.LIST_OF_PROBLEMS:
optimizerId = str(optimizer.__name__)
problemId = str(problem.__name__)
for k in range(config.K):
if not db.exists(optimizerId, problemId, str(k)):
#optimizer().apply(problem(), config.MAX_EVALUATIONS)
taskList.append({
'optimizer': optimizer,
'problem': problem,
'maxeval': config.MAX_EVALUATIONS,
'k': k
})
elif (config.REPEAT_INCOMPLETE and (np.shape(
(db.get(optimizerId, problemId, str(k)))['scores'])[0] <
config.MAX_EVALUATIONS)):
logger.info("Repeat evaluation of " + str(optimizerId) +
" on " + str(problemId) + " k=" + str(k) +
" because the previous did not complete 100%")
logger.info("Last results: " + str(
np.shape((db.get(optimizerId, problemId, str(k))
)['scores'])[0]))
#if there is already an evaluation, but it contains less values than configured (meaning it stopped somewhere because of some numerical issues)
#we add it again and hope that the issues will not appear this time (this is mostly for AdaLipo)
taskList.append({
'optimizer': optimizer,
'problem': problem,
'maxeval': config.MAX_EVALUATIONS,
'k': k
})
