def trainTopicModel(self, topicModelParams, forceTrainOption):
if os.path.exists(self.modelParamsPath + '.twords') and not forceTrainOption:
logging.info(' skipping training: ' + self.currDB)
return
logging.info('trainTopicModel: ' + self.currDB)
LDAcmd = [self.trainExecutablePath, '-est', \
'-ntopics', str(topicModelParams['numTopics']), \
'-niters', str(topicModelParams['numIters']), \
'-twords', str(topicModelParams['twords']), \
'-dfile', self.tokensPath]
timeout = topicModelParams['maxRunTime']
runner = RunExternal(LDAcmd, timeout, pipeOption = False)
runner.run()
def zip(self, path):
logging.info('MakeVideoLogs.zip(), ' + self.currCourseName)
zipExec = RunExternal(['gzip', path], 3600)
zipExec.run()
def unzip(self, path):
logging.info('MakeVideoLogs.unzip(), ' + self.currCourseName)
zipExec = RunExternal(['gunzip',path],3600)
zipExec.run()
def zip(self,path):
logging.info('MakeForumViewLogs.zip(), ' + self.currCourseName)
zipExec = RunExternal(['gzip',path],3600)
zipExec.run()
def unzip(self, path):
logging.info('MakeForumViewLogs.unzip(), ' + self.currCourseName)
zipExec = RunExternal(['gunzip', path], 3600)
zipExec.run()
