def test_fitter_against_MPFit(self, fitter_class):
"""Tests results from non-linear fitters against `LevMarLSQFitter`."""
mpfit = MPFitter()
fitter = fitter_class()
with ignore_non_integer_warning():
new_model = fitter(self.gauss, self.xdata, self.ydata)
model = mpfit(self.gauss, self.xdata, self.ydata)
assert_allclose(model.parameters, new_model.parameters,
rtol=10 ** (-4))
def test_LSQ_SLSQP_with_constraints(self):
"""
Runs `LevMarLSQFitter` and `SLSQPLSQFitter` on a model with
constraints.
"""
g1 = models.Gaussian1D(100, 5, stddev=1)
g1.mean.fixed = True
mpfit = MPFitter()
fitter = LevMarLSQFitter()
fslsqp = SLSQPLSQFitter()
with ignore_non_integer_warning():
slsqp_model = fslsqp(g1, self.xdata, self.ydata)
model = fitter(g1, self.xdata, self.ydata)
mpmodel = mpfit(g1, self.xdata, self.ydata)
assert_allclose(mpmodel.parameters, slsqp_model.parameters,
rtol=10 ** (-4))
assert_allclose(mpmodel.parameters, model.parameters,
rtol=10 ** (-4))
