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