def __init__(self):
self.xabs = [1.0, 2.0, 3.0, 4.0, 5.0]
self.data = [1.1, 1.9, 2.9, 4.1, 5.1]
self.errors = [0.1, 0.1, 0.1, 0.1, 0.1]
self.upar = [0.1, 1.1]
self.covm = clsq.covmFromErrors(self.errors)
self.mparv = clsq.columnMatrixFromList(self.data)
self.datav = clsq.columnMatrixFromList(self.data)
self.uparv = clsq.columnMatrixFromList(self.upar)
return
def __init__( self ):
self.xabs= [ 1.0, 2.0, 3.0, 4.0, 5.0 ]
self.data= [ 1.1, 1.9, 2.9, 4.1, 5.1 ]
self.errors= [ 0.1, 0.1, 0.1, 0.1, 0.1 ]
self.upar= [ 0.1, 1.1 ]
self.covm= clsq.covmFromErrors( self.errors )
self.mparv= clsq.columnMatrixFromList( self.data )
self.datav= clsq.columnMatrixFromList( self.data )
self.uparv= clsq.columnMatrixFromList( self.upar )
return
def setUp( self ):
def fun( mpar ):
return mpar[0] + 2.0*mpar[1]**2 + 3.0*mpar[2]**3
self.__ll= clhood.Likelihood( fun )
mpar= [ 1.0, 2.0, 3.0 ]
self.__mparv= columnMatrixFromList( mpar )
return
def setUp(self):
def fun(mpar):
return mpar[0] + 2.0 * mpar[1]**2 + 3.0 * mpar[2]**3
self.__ll = clhood.Likelihood(fun)
mpar = [1.0, 2.0, 3.0]
self.__mparv = columnMatrixFromList(mpar)
return