def main():
print 'Main'
data = DataExtractorFactory.getDataExtractor('expertmodel', 'data/')
expertsData = data.getAllExpertsData()
clusterer = UsersClustering(expertsData)
clusterer.getExpertRegions('tech')
'''
def main():
print 'Main'
dataDirectory = 'data/'
start = time.time()
data = DataExtractorFactory.getDataExtractor('expertisemodel', dataDirectory)
expertUsersData = data.getAllExpertsData()
region = Region((50, -125), (25.255, -60),center = (30,-60) ,expertise='vc')
UsersData.addUserDataToRegions(expertUsersData)
usersBucket = BucketUsers(region, 50)
print time.time() - start,' is the time taken'
usersBucket.printBuckets()
def __init__(self, dataDirectory, dataExtractor=None):
self._dictExpertiseRegions.clear()
self._dictExpertModels.clear()
self._dataDirectory = dataDirectory
if dataExtractor == None:
self._expertDataExtractor = DataExtractorFactory.getDataExtractor("expertisemodel", self._dataDirectory)
self._expertDataExtractor.populateData(self._dataDirectory)
else:
self._expertDataExtractor = dataExtractor
self._dictExpertUsersData = self._expertDataExtractor.getAllExpertsData()
self._createParentRegions()
UsersData.addUserDataToRegions(self._dictExpertUsersData)
def __init__(self, dataDirectory):
'''
Constructor
'''
self._dataDirectory = dataDirectory
self._dataExtractor = DataExtractorFactory.getDataExtractor('expertmodel', dataDirectory)
def __init__(self, dataDirectory, cachedModelsFileName = ''):
self._cachedModelsFileName = cachedModelsFileName
self._dataDirectory = dataDirectory
self._expertDataExtractor = DataExtractorFactory.getDataExtractor('expertmodel', dataDirectory)