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odr_fit renamed, deprecation warning added

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least_squares and total_least_squares are now available to the top level
namespace
This commit is contained in:
Fabian Joswig 2021-11-01 12:01:46 +00:00
parent 1013307e24
commit 0e8fc7d36a
3 changed files with 11 additions and 5 deletions
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9
tests/fits_test.py
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@ -27,7 +27,7 @@ def test_standard_fit():
y = a[0] * np.exp(-a[1] * x)
return y
out = pe.fits.standard_fit(x, oy, func)
out = pe.least_squares(x, oy, func)
beta = out.fit_parameters
pe.Obs.e_tag_global = 5
@ -71,7 +71,7 @@ def test_odr_fit():
odr.set_job(fit_type=0, deriv=1)
output = odr.run()
out = pe.fits.odr_fit(ox, oy, func)
out = pe.total_least_squares(ox, oy, func)
beta = out.fit_parameters
pe.Obs.e_tag_global = 5
@ -97,9 +97,10 @@ def test_odr_derivatives():
def func(a, x):
return a[0] + a[1] * x ** 2
out = pe.fits.odr_fit(x, y, func)
out = pe.total_least_squares(x, y, func)
fit1 = out.fit_parameters
tfit = pe.fits.fit_general(x, y, func, base_step=0.1, step_ratio=1.1, num_steps=20)
with pytest.warns(DeprecationWarning):
tfit = pe.fits.fit_general(x, y, func, base_step=0.1, step_ratio=1.1, num_steps=20)
assert np.abs(np.max(np.array(list(fit1[1].deltas.values()))
- np.array(list(tfit[1].deltas.values())))) < 10e-8