def test__transform_no_min_no_max(self, mock_sys):
"""Test that the method ``_transform`` performs a normalization of values between ``min``
and ``max`` with no limit set on them.
"""
# setup
mock_sys.maxsize = 1000 # This values can be different in each OS.
instance = IntHyperParam()
values = np.array([[9], [100]])
# run
result = instance._transform(values)
# assert
expected_result = np.array([[0.50899101],
[0.5999001]])
np.testing.assert_allclose(result, expected_result)
def test__transform_no_min_max(self, mock_sys):
"""Test that the method ``_transform`` performs a normalization of values between ``min``
and ``max`` with a max value set in.
"""
# setup
mock_sys.maxsize = 1000
_max = 10
instance = IntHyperParam(max=_max)
values = np.array([[1], [9]])
# run
result = instance._transform(values)
# assert
expected_result = np.array([[0.981409],
[0.99706458]])
np.testing.assert_allclose(result, expected_result)
def test__transform_min_max(self, mock_sys):
"""Test that the method ``_transform`` performs a normalization of values between ``min``
and ``max`` with a max and min value set in.
"""
# setup
_min = 0
_max = 10
instance = IntHyperParam(min=_min, max=_max)
values = np.array([[9], [1]])
# run
result = instance._transform(values)
# assert
expected_result = np.array([[0.86363636],
[0.13636364]])
np.testing.assert_allclose(result, expected_result)