Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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34 lines
922 B
34 lines
922 B
""" Unit tests for nonnegative least squares
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Author: Uwe Schmitt
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Sep 2008
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"""
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import numpy as np
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from numpy.testing import assert_
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from pytest import raises as assert_raises
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from scipy.optimize import nnls
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from numpy import arange, dot
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from numpy.linalg import norm
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class TestNNLS(object):
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def test_nnls(self):
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a = arange(25.0).reshape(-1,5)
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x = arange(5.0)
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y = dot(a,x)
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x, res = nnls(a,y)
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assert_(res < 1e-7)
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assert_(norm(dot(a,x)-y) < 1e-7)
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def test_maxiter(self):
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# test that maxiter argument does stop iterations
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# NB: did not manage to find a test case where the default value
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# of maxiter is not sufficient, so use a too-small value
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rndm = np.random.RandomState(1234)
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a = rndm.uniform(size=(100, 100))
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b = rndm.uniform(size=100)
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with assert_raises(RuntimeError):
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nnls(a, b, maxiter=1)
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