def residual(self, allvalues, data, coords):
'''Find residual as sum of squared differences of function and data
Arguments:
allvalues -- boolean, currently ignored
data -- used to subtract from evaluated function
coords -- coordinates over which the function is evaluated
'''
return _dnp.residual(self.makeDataset(coords), data)
def residual(self, allvalues, data, weights, coords):
'''Find residual as sum of squared differences of function and data
Arguments:
allvalues -- boolean, currently ignored
data -- used to subtract from evaluated function
weights -- weighting for each squared difference, can be None
coords -- coordinates over which the function is evaluated
'''
if len(coords) == 0: # workaround deprecated method
coords = (weights, )
weights = None
return _dnp.residual(self.calculateValues(coords), data, weights)
def residual(self, allvalues, data, weights, coords):
'''Find residual as sum of squared differences of function and data
Arguments:
allvalues -- boolean, currently ignored
data -- used to subtract from evaluated function
weights -- weighting for each squared difference, can be None
coords -- coordinates over which the function is evaluated
'''
if len(coords) == 0: # workaround deprecated method
coords = (weights,)
weights = None
return _dnp.residual(self.calculateValues(coords), data, weights)
def residual(self, allvalues, data, coords):
'''Find residual as sum of squared differences of function and data
Arguments:
allvalues -- boolean, currently ignored
data -- used to subtract from evaluated function
coords -- coordinates over which the function is evaluated
'''
try:
l = [ p for p in self.parameterValues ]
l.append([ _dnp.Sciwrap(c) for c in coords])
l.append(self.args)
d = self.func(*l)
return _dnp.residual(d, data)
except ValueError:
raise ValueError, 'Problem with function \"' + self.name + '\" with params ' + self.parameterValues
def residual(self, allvalues, data, weights, *coords):
'''Find residual as sum of squared differences of function and data
Arguments:
allvalues -- boolean, currently ignored
data -- used to subtract from evaluated function
weights -- weighting for each squared difference, can be None
coords -- coordinates over which the function is evaluated
'''
if len(coords) == 0: # workaround deprecated method
coords = (weights, )
weights = None
try:
l = [p for p in self.parameterValues]
l.append([_sciwrap(c) for c in coords])
l.append(self.args)
d = self.func(*l)
return _dnp.residual(d, data, weights)
except ValueError:
raise ValueError, "Problem with function '" + self.name + "' with params " + self.parameterValues
def residual(self, allvalues, data, weights, *coords):
'''Find residual as sum of squared differences of function and data
Arguments:
allvalues -- boolean, currently ignored
data -- used to subtract from evaluated function
weights -- weighting for each squared difference, can be None
coords -- coordinates over which the function is evaluated
'''
if len(coords) == 0: # workaround deprecated method
coords = (weights,)
weights = None
try:
l = [p for p in self.parameterValues]
l.append([_sciwrap(c) for c in coords])
l.append(self.args)
d = self.func(*l)
return _dnp.residual(d, data, weights)
except ValueError:
raise ValueError("Problem with function '" + self.name + "' with params " + self.parameterValues)
