def __init__(self, name, fitter, data_source, model, weighter=None):
self.name = name
self.fitter = fitter
self.data_source = data_source
self.model = model
self.weighter = weighter
if not self.weighter:
self.weighter = Unweighted()
self.variables = self.data_source.variables
self.v = self.data_source.v
self.variable_names = self.data_source.variable_names
self.v_name = self.data_source.v_name
self.fitter.addDataSet(self)
class ScanDataSet(object):
def __init__(self, name, fitter, data_source, model, weighter=None):
self.name = name
self.fitter = fitter
self.data_source = data_source
self.model = model
self.weighter = weighter
if not self.weighter:
self.weighter = Unweighted()
self.variables = self.data_source.variables
self.v = self.data_source.v
self.variable_names = self.data_source.variable_names
self.v_name = self.data_source.v_name
self.fitter.addDataSet(self)
def _init(self, parameter_names):
self.model._init(parameter_names)
def getWeightedResiduals(self, parameter_set=None, mean_v=None):
if not parameter_set is None:
self.model.setParameterSet(parameter_set)
v_cap = self.model.getSimulatedY(self.variables)
residuals = self.weighter.getResiduals(self, v_cap)
else:
residuals = self.weighter.getResiduals(self, mean_v)
return residuals
def getResiduals(self, parameter_set=None, mean_v=None):
if not parameter_set is None:
v_cap = self.getSimulatedY(parameter_set)
residuals = self.v - v_cap
else:
residuals = self.v - mean_v
return residuals
def getSimulatedY(self, parameter_set):
self.model.setParameterSet(parameter_set)
return self.model.getSimulatedY(self.variables)
class ScanDataSet(object):
def __init__(self, name, fitter, data_source, model, weighter=None):
self.name = name
self.fitter = fitter
self.data_source = data_source
self.model = model
self.weighter = weighter
if not self.weighter:
self.weighter = Unweighted()
self.variables = self.data_source.variables
self.v = self.data_source.v
self.variable_names = self.data_source.variable_names
self.v_name = self.data_source.v_name
self.fitter.addDataSet(self)
def _init(self, parameter_names):
self.model._init(parameter_names)
def getWeightedResiduals(self, parameter_set=None, mean_v=None):
if not parameter_set is None:
self.model.setParameterSet(parameter_set)
v_cap = self.model.getSimulatedY(self.variables)
residuals = self.weighter.getResiduals(self, v_cap)
else:
residuals = self.weighter.getResiduals(self, mean_v)
return residuals
def getResiduals(self, parameter_set=None, mean_v=None):
if not parameter_set is None:
v_cap = self.getSimulatedY(parameter_set)
residuals = self.v - v_cap
else:
residuals = self.v - mean_v
return residuals
def getSimulatedY(self, parameter_set):
self.model.setParameterSet(parameter_set)
return self.model.getSimulatedY(self.variables)
def __init__(self, name, fitter, data_source, model, weighter=None):
self.name = name
self.fitter = fitter
self.data_source = data_source
self.model = model
self.weighter = weighter
if not self.weighter:
self.weighter = Unweighted()
self.variables = self.data_source.variables
self.v = self.data_source.v
self.variable_names = self.data_source.variable_names
self.v_name = self.data_source.v_name
self.fitter.addDataSet(self)
