def fit_single(self, isdream=False):
fitter = Fit()
data = Loader().load("testdata_line.txt")
data.name = data.filename
fitter.set_data(data,1)
# Receives the type of model for the fitting
model1 = LineModel()
model1.name = "M1"
model = Model(model1,data)
pars1= ['A','B']
fitter.set_model(model,1,pars1)
fitter.select_problem_for_fit(id=1,value=1)
result1, = fitter.fit(handler=FitHandler())
# The target values were generated from the following statements
p,s,fx = result1.pvec, result1.stderr, result1.fitness
#print "p0,p1,s0,s1,fx = %g, %g, %g, %g, %g"%(p[0],p[1],s[0],s[1],fx)
p0,p1,s0,s1,fx_ = 3.68353, 2.61004, 0.336186, 0.105244, 1.20189
if isdream:
# Dream is not a minimizer: just check that the fit is within
# uncertainty
self.assertTrue( abs(p[0]-p0) <= s0 )
self.assertTrue( abs(p[1]-p1) <= s1 )
else:
self.assertTrue( abs(p[0]-p0) <= 1e-5 )
self.assertTrue( abs(p[1]-p1) <= 1e-5 )
self.assertTrue( abs(fx-fx_) <= 1e-5 )
def fit_single(self, fitter_name, isdream=False):
fitter = Fit(fitter_name)
data = Loader().load("testdata_line.txt")
data.name = data.filename
fitter.set_data(data, 1)
# Receives the type of model for the fitting
model1 = LineModel()
model1.name = "M1"
model = Model(model1, data)
pars1 = ['A', 'B']
fitter.set_model(model, 1, pars1)
fitter.select_problem_for_fit(id=1, value=1)
result1, = fitter.fit(handler=FitHandler())
# The target values were generated from the following statements
p, s, fx = result1.pvec, result1.stderr, result1.fitness
#print "p0,p1,s0,s1,fx = %g, %g, %g, %g, %g"%(p[0],p[1],s[0],s[1],fx)
p0, p1, s0, s1, fx_ = 3.68353, 2.61004, 0.336186, 0.105244, 1.20189
if isdream:
# Dream is not a minimizer: just check that the fit is within
# uncertainty
self.assertTrue(abs(p[0] - p0) <= s0)
self.assertTrue(abs(p[1] - p1) <= s1)
else:
self.assertTrue(abs(p[0] - p0) <= 1e-5)
self.assertTrue(abs(p[1] - p1) <= 1e-5)
self.assertTrue(abs(fx - fx_) <= 1e-5)
def test_bad_pars(self):
fitter = Fit()
data = Loader().load("testdata_line.txt")
data.name = data.filename
fitter.set_data(data,1)
model1 = LineModel()
model1.name = "M1"
model = Model(model1, data)
pars1= ['param1','param2']
try:
fitter.set_model(model,1,pars1)
except ValueError,exc:
#print "ValueError was correctly raised: "+str(msg)
assert str(exc).startswith('parameter param1')
def test_bad_pars(self):
fitter = Fit('bumps')
data = Loader().load("testdata_line.txt")
data.name = data.filename
fitter.set_data(data, 1)
model1 = LineModel()
model1.name = "M1"
model = Model(model1, data)
pars1 = ['param1', 'param2']
try:
fitter.set_model(model, 1, pars1)
except ValueError, exc:
#print "ValueError was correctly raised: "+str(msg)
assert str(exc).startswith('parameter param1')
