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tests: additional tests for alternative fit methods in

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fits.least_squares added
This commit is contained in:
Fabian Joswig 2022-02-02 10:10:20 +00:00
parent d602bea5b7
commit 952c7acef5
1 changed files with 27 additions and 2 deletions
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29
tests/fits_test.py
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@ -49,8 +49,6 @@ def test_least_squares():
y = a[0] * np.exp(-a[1] * x)
return y
out = pe.least_squares(x, oy, func, method='migrad')
out = pe.least_squares(x, oy, func, method='Powell')
out = pe.least_squares(x, oy, func, expected_chisquare=True, resplot=True, qqplot=True)
beta = out.fit_parameters
@ -86,6 +84,33 @@ def test_least_squares():
assert math.isclose(pe.covariance(betac[0], betac[1]), pcov[0, 1], abs_tol=1e-3)
def test_alternative_solvers():
dim = 192
x = np.arange(dim)
y = 2 * np.exp(-0.06 * x) + np.random.normal(0.0, 0.15, dim)
yerr = 0.1 + 0.1 * np.random.rand(dim)
oy = []
for i, item in enumerate(x):
oy.append(pe.pseudo_Obs(y[i], yerr[i], 'test'))
def func(a, x):
y = a[0] * np.exp(-a[1] * x)
return y
chisquare_values = []
out = pe.least_squares(x, oy, func, method='migrad')
chisquare_values.append(out.chisquare)
out = pe.least_squares(x, oy, func, method='Powell')
chisquare_values.append(out.chisquare)
out = pe.least_squares(x, oy, func, method='Nelder-Mead')
chisquare_values.append(out.chisquare)
out = pe.least_squares(x, oy, func, method='Levenberg-Marquardt')
chisquare_values.append(out.chisquare)
chisquare_values = np.array(chisquare_values)
assert np.all(np.isclose(chisquare_values, chisquare_values[0]))
def test_correlated_fit():
num_samples = 400
N = 10