def test_fit_with_ties(whas500_with_ties):
x, y = whas500_with_ties
nrsvm = NaiveSurvivalSVM(loss='squared_hinge', dual=False, tol=1e-8, max_iter=1000, random_state=0)
nrsvm.fit(x, y)
assert nrsvm.coef_.shape == (1, 14)
cindex = nrsvm.score(x, y)
assert round(abs(cindex - 0.7760582309811175), 7) == 0
def test_fit_with_ties(self):
x, y = self.get_data_with_ties()
nrsvm = NaiveSurvivalSVM(loss='squared_hinge',
dual=False,
tol=1e-8,
max_iter=1000,
random_state=0)
nrsvm.fit(x, y)
self.assertTupleEqual(nrsvm.coef_.shape, (1, 14))
cindex = nrsvm.score(x, y)
self.assertAlmostEqual(cindex, 0.7760582309811175)