trainSAMModel.py File Reference

Go to the source code of this file.

Namespaces
	SAM.SAM_Core.trainSAMModel

Variables
	SAM.SAM_Core.trainSAMModel.threshold
	SAM.SAM_Core.trainSAMModel.nan
	SAM.SAM_Core.trainSAMModel.precision
	SAM.SAM_Core.trainSAMModel.dataPath = sys.argv[1]
	SAM.SAM_Core.trainSAMModel.modelPath = sys.argv[2]
	SAM.SAM_Core.trainSAMModel.driverName = sys.argv[3]
string	SAM.SAM_Core.trainSAMModel.windowedMode = 'True'
string	SAM.SAM_Core.trainSAMModel.baseLogFileName = 'trainErrorLog_' + driverName
int	SAM.SAM_Core.trainSAMModel.file_i = 0
	SAM.SAM_Core.trainSAMModel.loggerFName = join(dataPath, baseLogFileName + '_' + str(file_i) + '.log')
	SAM.SAM_Core.trainSAMModel.logFormatter = logging.Formatter("[%(levelname)s] %(message)s")
	SAM.SAM_Core.trainSAMModel.rootLogger = logging.getLogger('train ' + driverName)
	SAM.SAM_Core.trainSAMModel.fileHandler = logging.FileHandler(loggerFName)
	SAM.SAM_Core.trainSAMModel.consoleHandler = logging.StreamHandler()
	SAM.SAM_Core.trainSAMModel.root
	SAM.SAM_Core.trainSAMModel.mm = initialiseModels(sys.argv[1:4], sys.argv[4])
int	SAM.SAM_Core.trainSAMModel.overallPerformance = 100000
	SAM.SAM_Core.trainSAMModel.overallPerformanceLabels
	SAM.SAM_Core.trainSAMModel.labelComparisonDict
	SAM.SAM_Core.trainSAMModel.numParts = len(mm[0].participantList)
	SAM.SAM_Core.trainSAMModel.economy_save
	SAM.SAM_Core.trainSAMModel.extraDict
def	SAM.SAM_Core.trainSAMModel.exception_hook (exc_type, exc_value, exc_traceback)
	Generic training function. More...