def resolve_consistency(self, data, seed, numberProcesses):
print "Number of splits - ", numberProcesses
splits = split_df(data.data, houseidCol=self.hidName, workers=numberProcesses)
args = [
(split, seed, self.activityAttribs, self.dailyStatusAttribs, self.dependencyAttribs) for split in splits
]
resultList = []
resultList += resolve_by_multiprocessing(func=clean_schedules, args=args, workers=numberProcesses)
return DataArray(resultList, self.colNames)
"""
def resolve_consistency(self, data, seed, numberProcesses):
#TODO: add the number of workers/processes as an input in the config file
splits = split_df(data.data, houseidCol=self.hidName,
workers=numberProcesses)
args = [(split,seed, self.activityAttribs) for split in splits]
resultList = []
resultList += resolve_by_multiprocessing(func=reconcile_schedules,
args=args,
workers=numberProcesses)
return DataArray(resultList, self.colNames)
def resolve_consistency(self, data, seed, numberProcesses):
print "Number of splits - ", numberProcesses
splits = split_df(data.data,
houseidCol=self.hidName,
workers=numberProcesses)
args = [(split, seed, self.activityAttribs, self.dailyStatusAttribs,
self.dependencyAttribs) for split in splits]
resultList = []
resultList += resolve_by_multiprocessing(
func=clean_aggregate_schedules, args=args, workers=numberProcesses)
return DataArray(resultList, self.colNames)
"""
