def test_remove_discrete(self):
d1, d2, d3 = (DiscreteVariable(c, values=tuple("123")) for c in "abc")
c1, c2 = (ContinuousVariable(c) for c in "xy")
t = StringVariable("t")
domain = Domain([d1, c1], d2, [c2, d3, t])
data = Table.from_domain(domain, 5)
reduced = distance.remove_discrete_features(data)
self.assertEqual(reduced.domain.attributes, (c1, ))
self.assertEqual(reduced.domain.class_var, d2)
self.assertEqual(reduced.domain.metas, (c2, d3, t))
reduced = distance.remove_discrete_features(data, to_metas=True)
self.assertEqual(reduced.domain.attributes, (c1, ))
self.assertEqual(reduced.domain.class_var, d2)
self.assertEqual(reduced.domain.metas, (c2, d3, t, d1))
def _fix_discrete():
nonlocal data
if data.domain.has_discrete_attributes() and (
issparse(data.X) and getattr(metric, "fallback", None)
or not metric.supports_discrete or self.axis == 1):
if not data.domain.has_continuous_attributes():
self.Error.no_continuous_features()
return False
self.Warning.ignoring_discrete()
data = distance.remove_discrete_features(data)
def _fix_discrete():
nonlocal data
if data.domain.has_discrete_attributes() and (
issparse(data.X) and getattr(metric, "fallback", None)
or not metric.supports_discrete
or self.axis == 1):
if not data.domain.has_continuous_attributes():
self.Error.no_continuous_features()
return False
self.Warning.ignoring_discrete()
data = distance.remove_discrete_features(data)
