def perform_analysis(trainfolder): print "Working on {0}".format(trainfolder) sys.stdout.flush() temp = Driver(trainfolder) cls = RegressionDriver(temp, REFERENCE_DATA) cls.classify() return cls.validate(TEST_DATA)
def perform_analysis(folder): print("Working on {0}".format(folder)) sys.stdout.flush() temp = Driver(folder) cls = RegressionDriver(temp, REFERENCE_DATA) cls.classify() return cls.toKaggle()
def perform_analysis(folder): print "Working on {0}".format(folder) sys.stdout.flush() temp = Driver(folder) cls = RegressionDriver(temp, REFERENCE_DATA) cls.classify() return cls.toKaggle()
def perform_analysis(trainfolder): print "Working on {0}".format(trainfolder) sys.stdout.flush() temp = Driver(trainfolder) cls = RegressionDriver(temp, REFERENCE_DATA) cls.classify() return cls.validate(TEST_DATA)