tmvaWrapper Namespace Reference

Functions
def	get_configs
def	do_splitting
def	do_focussed_training
def	do_training

Variables
tuple	log = logging.getLogger(__name__)
tuple	parser
string	help = "Input directory."
list	default = ["ggh", "qqh", "vh"]
list	choices = ["ggh", "qqh", "vh", "bbh", "ztt", "zll", "ttj", "vv", "wj"]
tuple	cargs = parser.parse_args()
tuple	cargs_values = vars(cargs)
list	config_list = []
tuple	copy_cargs = copy.deepcopy(cargs_values)
string	front = ''
string	back = ''
string	fill = '_{0}_'
list	samps = ['qqh', 'ggh']
list	copy_path = copy_cargs["output_file"]
list	splits_list = []
int	part_size = 100
list	poped = copy_cargs["quantities"]
	poped_name = poped
int	jets = 0
list	masses = ["90", "100", "110", "120", "130", "140", "160", "180", "200", "250", "300", "350", "400", "450", "500", "600", "700", "800", "900", "1000", "1200", "1400", "1500", "1600", "1800", "2000", "2300", "2600", "2900", "3200"]
list	ntrees = [5, 10, 20, 30, 50, 100, 150, 200, 300, 400, 500, 700, 900, 1200, 1500, 2000, 2500, 3500, 5000, 7000]
list	nmasses = [1, 5, 11, 21, 31]
list	M = ["500"]

Function Documentation

def tmvaWrapper.do_focussed_training

(

args

)

def tmvaWrapper.do_splitting	(		args,
			plot_configs
	)

def tmvaWrapper.do_training

(

args

)

def tmvaWrapper.get_configs	(		args,
			info_log
	)

Variable Documentation

list tmvaWrapper.back = ''

tuple tmvaWrapper.cargs = parser.parse_args()

tuple tmvaWrapper.cargs_values = vars(cargs)

list tmvaWrapper.choices = ["ggh", "qqh", "vh", "bbh", "ztt", "zll", "ttj", "vv", "wj"]

list tmvaWrapper.config_list = []

tuple tmvaWrapper.copy_cargs = copy.deepcopy(cargs_values)

list tmvaWrapper.copy_path = copy_cargs["output_file"]

list tmvaWrapper.default = ["ggh", "qqh", "vh"]

string tmvaWrapper.fill = '_{0}_'

string tmvaWrapper.front = ''

string tmvaWrapper.help = "Input directory."

int tmvaWrapper.jets = 0

tuple tmvaWrapper.log = logging.getLogger(__name__)

list tmvaWrapper.M = ["500"]

list tmvaWrapper.masses = ["90", "100", "110", "120", "130", "140", "160", "180", "200", "250", "300", "350", "400", "450", "500", "600", "700", "800", "900", "1000", "1200", "1400", "1500", "1600", "1800", "2000", "2300", "2600", "2900", "3200"]

list tmvaWrapper.nmasses = [1, 5, 11, 21, 31]

list tmvaWrapper.ntrees = [5, 10, 20, 30, 50, 100, 150, 200, 300, 400, 500, 700, 900, 1200, 1500, 2000, 2500, 3500, 5000, 7000]

tuple tmvaWrapper.parser

Initial value:

= argparse.ArgumentParser(description="Train BDTs using TMVA interface.",
                                                                         parents=[logger.loggingParser])

int tmvaWrapper.part_size = 100

list tmvaWrapper.poped = copy_cargs["quantities"]

string tmvaWrapper.poped_name = poped

list tmvaWrapper.samps = ['qqh', 'ggh']

list tmvaWrapper.splits_list = []