def generateStatsForGlobalClassifier():
classifier = GlobalClassifier()
classifier.load()
currentDay = Settings.startTime
while currentDay<=Settings.endTime:
data = {'day': datetime.strftime(currentDay, Settings.twitter_api_time_format), 'metric': 'aucm', 'data_type': DocumentType.typeRuuslUnigram, 'test_data_days': 1}
data['value'] = classifier.getAUCM(TestDocuments(currentTime=currentDay, numberOfExperts=Settings.numberOfExperts, dataType=DocumentType.typeRuuslUnigram, noOfDays=1).iterator())
Utilities.writeAsJsonToFile(data, Settings.stats_for_global_classifier)
currentDay+=timedelta(days=1)
def globalClassifier():
classifier = GlobalClassifier()
classifier.trainAndSave()
