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 = 0.0
_max = 10.0
instance = FloatHyperParam(min=_min, max=_max)
values = np.array([[0.1], [0.9]])
# run
result = instance._transform(values)
# assert
expected_result = np.array([[0.01],
[0.09]])
np.testing.assert_array_equal(result, expected_result)
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.float_info.max = 1000.0 # This values can be different in each OS.
mock_sys.float_info.min = 0.0
instance = FloatHyperParam()
values = np.array([[0.9], [100.8]])
# run
result = instance._transform(values)
# assert
expected_result = np.array([[0.0009],
[0.1008]])
np.testing.assert_array_equal(result, expected_result)
def test__transform_min_no_max(self, mock_sys):
"""Test that the method ``_transform`` performs a normalization of values between ``min``
and ``max`` with a min value set in.
"""
# setup
mock_sys.float_info.max = 10.0
_min = 1.0
instance = FloatHyperParam(min=_min)
values = np.array([[7.3], [4.6]])
# run
result = instance._transform(values)
# assert
expected_result = np.array([[0.7],
[0.4]])
np.testing.assert_allclose(result, expected_result)