ML_FitSearch Namespace Reference

Functions
def	gridls (data, parms)
	MAIN UTILITY ROUTINES START HERE (must be defined before main routine) More...
def	printParms (parms)

Variables
bool	vis = True
float	tol = 0.0001
	tF = sys.argv[1]
	mF = sys.argv[2]
list	data = []
	nF = stuffDat(data,tF,mF)
list	parms = [nF]
	ok = stuffParms(parms,data)
float	oldChi = 0.0
bool	done = False
def	success = gridls(data,parms)
list	change = abs(parms[8] - oldChi) / parms[8]
	en = raw_input("SUCCESS - The fit converged! - hit a key")

Function Documentation

gridls()

def ML_FitSearch.gridls	(		data,
			parms
	)

MAIN UTILITY ROUTINES START HERE (must be defined before main routine)

printParms()

def ML_FitSearch.printParms

(

parms

)

Variable Documentation

change

list ML_FitSearch.change = abs(parms[8] - oldChi) / parms[8]

data

list ML_FitSearch.data = []

done

bool ML_FitSearch.done = False

en

ML_FitSearch.en = raw_input("SUCCESS - The fit converged! - hit a key")

mF

ML_FitSearch.mF = sys.argv[2]

nF

ML_FitSearch.nF = stuffDat(data,tF,mF)

ok

ML_FitSearch.ok = stuffParms(parms,data)

oldChi

list ML_FitSearch.oldChi = 0.0

parms

list ML_FitSearch.parms = [nF]

success

def ML_FitSearch.success = gridls(data,parms)

tF

ML_FitSearch.tF = sys.argv[1]

tol

float ML_FitSearch.tol = 0.0001

vis

bool ML_FitSearch.vis = True