SAM.SAM_Core.trainSAMModel Namespace Reference

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

Variable Documentation

baseLogFileName

string SAM.SAM_Core.trainSAMModel.baseLogFileName = 'trainErrorLog_' + driverName

Definition at line 57 of file trainSAMModel.py.

consoleHandler

SAM.SAM_Core.trainSAMModel.consoleHandler = logging.StreamHandler()

Definition at line 79 of file trainSAMModel.py.

dataPath

SAM.SAM_Core.trainSAMModel.dataPath = sys.argv[1]

Definition at line 53 of file trainSAMModel.py.

driverName

SAM.SAM_Core.trainSAMModel.driverName = sys.argv[3]

Definition at line 55 of file trainSAMModel.py.

economy_save

SAM.SAM_Core.trainSAMModel.economy_save

Definition at line 161 of file trainSAMModel.py.

extraDict

SAM.SAM_Core.trainSAMModel.extraDict

Definition at line 161 of file trainSAMModel.py.

file_i

int SAM.SAM_Core.trainSAMModel.file_i = 0

Definition at line 59 of file trainSAMModel.py.

fileHandler

SAM.SAM_Core.trainSAMModel.fileHandler = logging.FileHandler(loggerFName)

Definition at line 75 of file trainSAMModel.py.

labelComparisonDict

SAM.SAM_Core.trainSAMModel.labelComparisonDict

Definition at line 94 of file trainSAMModel.py.

logFormatter

SAM.SAM_Core.trainSAMModel.logFormatter = logging.Formatter("[%(levelname)s] %(message)s")

Definition at line 68 of file trainSAMModel.py.

loggerFName

SAM.SAM_Core.trainSAMModel.loggerFName = join(dataPath, baseLogFileName + '_' + str(file_i) + '.log')

Definition at line 60 of file trainSAMModel.py.

mm

SAM.SAM_Core.trainSAMModel.mm = initialiseModels(sys.argv[1:4], sys.argv[4])

Definition at line 86 of file trainSAMModel.py.

modelPath

SAM.SAM_Core.trainSAMModel.modelPath = sys.argv[2]

Definition at line 54 of file trainSAMModel.py.

nan

SAM.SAM_Core.trainSAMModel.nan

Definition at line 25 of file trainSAMModel.py.

numParts

SAM.SAM_Core.trainSAMModel.numParts = len(mm[0].participantList)

Definition at line 99 of file trainSAMModel.py.

overallPerformance

SAM.SAM_Core.trainSAMModel.overallPerformance = 100000

Definition at line 92 of file trainSAMModel.py.

overallPerformanceLabels

SAM.SAM_Core.trainSAMModel.overallPerformanceLabels

Definition at line 94 of file trainSAMModel.py.

precision

SAM.SAM_Core.trainSAMModel.precision

Definition at line 25 of file trainSAMModel.py.

root

SAM.SAM_Core.trainSAMModel.root

Definition at line 82 of file trainSAMModel.py.

rootLogger

SAM.SAM_Core.trainSAMModel.rootLogger = logging.getLogger('train ' + driverName)

Definition at line 72 of file trainSAMModel.py.

threshold

SAM.SAM_Core.trainSAMModel.threshold

Definition at line 25 of file trainSAMModel.py.

windowedMode

string SAM.SAM_Core.trainSAMModel.windowedMode = 'True'

Definition at line 56 of file trainSAMModel.py.