def _sample_NormalIntegerHyperparameter(self, nihp):
nfhp = NormalFloatHyperparameter(nihp.name,
nihp.mu,
nihp.sigma,
log=nihp.log,
q=nihp.q,
default=nihp.default)
ihp = self._sample_NormalFloatHyperparameter(nfhp)
return nihp.instantiate(int(np.round(ihp.value, 0)))
def test_normalfloat_is_legal(self):
f1 = NormalFloatHyperparameter("param", 0, 10)
self.assertTrue(f1.is_legal(3.0))
self.assertTrue(f1.is_legal(2))
self.assertFalse(f1.is_legal("Hahaha"))
def test_normalfloat_to_integer(self):
f1 = NormalFloatHyperparameter("param", 0, 10)
f2_expected = NormalIntegerHyperparameter("param", 0, 10)
f2_actual = f1.to_integer()
self.assertEqual(f2_expected, f2_actual)
def test_normalfloat_to_uniformfloat(self):
f1 = NormalFloatHyperparameter("param", 0, 10, q=0.1)
f1_expected = UniformFloatHyperparameter("param", -30, 30, q=0.1)
f1_actual = f1.to_uniform()
self.assertEqual(f1_expected, f1_actual)
