def generateModelForExpertise(self, expertise):
print "Generating model for", expertise
# extracting the regions for the given expertise
self._optimizeParameters(expertise)
expertiseRegions = self._dictExpertiseRegions[expertise]
dataQueue = Queue(len(expertiseRegions))
print "Initially computed models:-"
pprint(self._dictExpertModels)
iternum = 0
while iternum < Settings.numberOfIterations:
UsersData.partitionUsers(self._dictExpertModels[expertise], expertise)
print "Recomputed Bounding boxes for regions-----"
self._updateExpertiseRegions(expertise)
self._displayRegionsInfo(expertise)
self._dictExpertModels.clear()
expertiseRegions = self._dictExpertiseRegions[expertise]
print "---- Recomputing the centers------------"
start = time.time()
processes = self._computeModelsParallely(expertiseRegions, dataQueue)
self._waitForProcesses(processes)
self._populateResultsFromQueue(expertise, dataQueue)
print "It took ", start - time.time(), " seconds"
print "---------------Generated multiple center model----------"
pprint(self._dictExpertModels)
iternum += 1
