def test_int_exp(self):
hyp = HyperParameter(ParamTypes.INT_EXP, [10, 10000])
self.assertEqual(hyp.range, [1, 4])
transformed = hyp.fit_transform(np.array([100]), np.array([0.5]))
np.testing.assert_array_equal(transformed, np.array([2]))
inverse_transform = hyp.inverse_transform([3])
np.testing.assert_array_equal(inverse_transform, np.array([1000]))
def test_int_exp(self):
hyp = HyperParameter(ParamTypes.INT_EXP, [10, 10000])
self.assertEqual(hyp.range, [1, 4])
transformed = hyp.fit_transform(np.array([100]), np.array([0.5]))
np.testing.assert_array_equal(transformed, np.array([2]))
inverse_transform = hyp.inverse_transform([3])
np.testing.assert_array_equal(inverse_transform, np.array([1000]))
def test_string(self):
hyp = HyperParameter(ParamTypes.STRING, ['a', 'b', 'c'])
transformed = hyp.fit_transform(np.array(['a', 'b', 'c']),
np.array([2, 1, 3]))
self.assertEqual(hyp.range, [1.0, 3.0])
np.testing.assert_array_equal(transformed, np.array([2.0, 1.0, 3.0]))
inverse_transform = hyp.inverse_transform([3])
np.testing.assert_array_equal(inverse_transform, np.array(['c']))
def test_int_cat(self):
hyp = HyperParameter(ParamTypes.INT_CAT, [None, 10, 10000])
transformed = hyp.fit_transform(np.array([None, 10, 10000]),
np.array([0.1, 0.5, 0.9]))
np.testing.assert_array_equal(transformed, np.array([0.1, 0.5, 0.9]))
inverse_transform = hyp.inverse_transform([1.0, 0.0, 0.4, 0.8])
np.testing.assert_array_equal(inverse_transform,
np.array([10000, None, 10, 10000]))
def test_int_cat(self):
hyp = HyperParameter(ParamTypes.INT_CAT, [10, 10000])
transformed = hyp.fit_transform(np.array([10, 10000]), np.array([1,
2]))
np.testing.assert_array_equal(transformed, np.array([1, 2]))
inverse_transform = hyp.inverse_transform([3, 0, 1, 2])
np.testing.assert_array_equal(inverse_transform,
np.array([10000, 10, 10, 10000]))
def test_bool(self):
hyp = HyperParameter(ParamTypes.BOOL, [True, False])
transformed = hyp.fit_transform(np.array([True, False]),
np.array([0.5, 0.7]))
np.testing.assert_array_equal(transformed, np.array([0.5, 0.7]))
self.assertEqual(hyp.range, [0.5, 0.7])
inverse_transform = hyp.inverse_transform([0.7, 0.6, 0.5])
np.testing.assert_array_equal(inverse_transform,
np.array([False, False, True]))
def test_int(self):
hyp = HyperParameter(ParamTypes.INT, [1, 3])
self.assertEqual(hyp.range, [1, 3])
transformed = hyp.fit_transform(np.array([1, 2, 3]),
np.array([0.5, 0.6, 0.1]))
np.testing.assert_array_equal(transformed, np.array([1, 2, 3]))
inverse_transform = hyp.inverse_transform(np.array([0.5]))
np.testing.assert_array_equal(inverse_transform, np.array([0]))
hyp = HyperParameter(ParamTypes.INT, [1.0, 3.0])
self.assertEqual(hyp.range, [1, 3])
def test_float(self):
hyp = HyperParameter(ParamTypes.FLOAT, [1.5, 3.2])
self.assertEqual(hyp.range, [1.5, 3.2])
transformed = hyp.fit_transform(
np.array([2, 2.4, 3.1]),
np.array([0.5, 0.6, 0.1]),
)
np.testing.assert_array_equal(transformed, np.array([2, 2.4, 3.1]))
inverse_transform = hyp.inverse_transform([1.7])
np.testing.assert_array_equal(inverse_transform, np.array([1.7]))
def test_float_exp(self):
hyp = HyperParameter(ParamTypes.FLOAT_EXP, [0.001, 100])
self.assertEqual(hyp.range, [-3.0, 2.0])
transformed = hyp.fit_transform(np.array([0.01, 1, 10]),
np.array([-2.0, 0.0, 1.0]))
np.testing.assert_array_equal(transformed, np.array([-2.0, 0.0, 1.0]))
inverse_transform = hyp.inverse_transform([-1.0])
np.testing.assert_array_equal(inverse_transform, np.array([0.1]))
inverse_transform = hyp.inverse_transform([1.0])
np.testing.assert_array_equal(inverse_transform, np.array([10.0]))
def test_float(self):
hyp = HyperParameter(ParamTypes.FLOAT, [1.5, 3.2])
self.assertEqual(hyp.range, [1.5, 3.2])
transformed = hyp.fit_transform(
np.array([2, 2.4, 3.1]),
np.array([0.5, 0.6, 0.1]),
)
np.testing.assert_array_equal(transformed, np.array([2, 2.4, 3.1]))
inverse_transform = hyp.inverse_transform([1.7])
np.testing.assert_array_equal(inverse_transform, np.array([1.7]))
def test_float_cat(self):
hyp = HyperParameter(ParamTypes.FLOAT_CAT, [0.1, 0.6, 0.5])
transformed = hyp.fit_transform(np.array([0.1, 0.6, 0.1, 0.6]),
np.array([1, 2, 3, 4]))
np.testing.assert_array_equal(transformed,
np.array([2.0, 3.0, 2.0, 3.0]))
self.assertEqual(hyp.range, [0.0, 3.0])
inverse_transform = hyp.inverse_transform([3, 0, 1, 5, 2.5])
np.testing.assert_array_equal(inverse_transform,
np.array([0.6, 0.5, 0.1, 0.6, 0.6]))
def test_float_cat(self):
hyp = HyperParameter(ParamTypes.FLOAT_CAT, [None, 0.1, 0.6, 0.5])
transformed = hyp.fit_transform(np.array([None, 0.1, 0.6, 0.1, 0.6]),
np.array([1.0, 0.1, 0.2, 0.3, 0.4]))
np.testing.assert_allclose(transformed,
np.array([1.0, 0.2, 0.3, 0.2, 0.3]))
self.assertEqual(hyp.range, [0.0, 1.0])
inverse_transform = hyp.inverse_transform(
[0.3, 0.0, 0.1, 0.5, 0.27, 0.9])
np.testing.assert_array_equal(
inverse_transform, np.array([0.6, 0.5, 0.1, 0.6, 0.6, None]))
def test_int(self):
hyp = HyperParameter(ParamTypes.INT, [1, 3])
self.assertEqual(hyp.range, [1, 3])
transformed = hyp.fit_transform(
np.array([1, 2, 3]),
np.array([0.5, 0.6, 0.1])
)
np.testing.assert_array_equal(transformed, np.array([1, 2, 3]))
inverse_transform = hyp.inverse_transform(np.array([0.5]))
np.testing.assert_array_equal(inverse_transform, np.array([0]))
hyp = HyperParameter(ParamTypes.INT, [1.0, 3.0])
self.assertEqual(hyp.range, [1, 3])
def test_int_cat(self):
hyp = HyperParameter(ParamTypes.INT_CAT, [10, 10000])
transformed = hyp.fit_transform(
np.array([10, 10000]),
np.array([1, 2])
)
np.testing.assert_array_equal(transformed, np.array([1, 2]))
inverse_transform = hyp.inverse_transform([3, 0, 1, 2])
np.testing.assert_array_equal(
inverse_transform,
np.array([10000, 10, 10, 10000])
)
def test_string(self):
hyp = HyperParameter(ParamTypes.STRING, ['a', 'b', 'c'])
transformed = hyp.fit_transform(
np.array(['a', 'b', 'c']),
np.array([2, 1, 3])
)
self.assertEqual(hyp.range, [1.0, 3.0])
np.testing.assert_array_equal(
transformed,
np.array([2.0, 1.0, 3.0])
)
inverse_transform = hyp.inverse_transform([3])
np.testing.assert_array_equal(inverse_transform, np.array(['c']))
def test_bool(self):
hyp = HyperParameter(ParamTypes.BOOL, [True, False])
transformed = hyp.fit_transform(
np.array([True, False]),
np.array([0.5, 0.7])
)
np.testing.assert_array_equal(transformed, np.array([0.5, 0.7]))
self.assertEqual(hyp.range, [0.5, 0.7])
inverse_transform = hyp.inverse_transform([0.7, 0.6, 0.5])
np.testing.assert_array_equal(
inverse_transform,
np.array([False, False, True])
)
def test_string(self):
hyp = HyperParameter(ParamTypes.STRING, [None, 'a', 'b', 'c'])
transformed = hyp.fit_transform(np.array([None, 'a', 'b', 'c']),
np.array([0.1, 0.3, 0.6, 0.9]))
self.assertEqual(hyp.range, [0.1, 0.9])
np.testing.assert_array_equal(transformed,
np.array([0.1, 0.3, 0.6, 0.9]))
inverse_transform = hyp.inverse_transform(
np.array([0.0, 0.4, 0.5, 0.8]))
np.testing.assert_array_equal(inverse_transform,
np.array([None, 'a', 'b', 'c']))
inverse_transform = hyp.inverse_transform([3])
np.testing.assert_array_equal(inverse_transform, np.array(['c']))
def test_float_exp(self):
hyp = HyperParameter(ParamTypes.FLOAT_EXP, [0.001, 100])
self.assertEqual(hyp.range, [-3.0, 2.0])
transformed = hyp.fit_transform(
np.array([0.01, 1, 10]),
np.array([-2.0, 0.0, 1.0])
)
np.testing.assert_array_equal(
transformed,
np.array([-2.0, 0.0, 1.0])
)
inverse_transform = hyp.inverse_transform([-1.0])
np.testing.assert_array_equal(inverse_transform, np.array([0.1]))
inverse_transform = hyp.inverse_transform([1.0])
np.testing.assert_array_equal(inverse_transform, np.array([10.0]))
def test_float_cat(self):
hyp = HyperParameter(ParamTypes.FLOAT_CAT, [0.1, 0.6, 0.5])
transformed = hyp.fit_transform(
np.array([0.1, 0.6, 0.1, 0.6]),
np.array([1, 2, 3, 4])
)
np.testing.assert_array_equal(
transformed,
np.array([2.0, 3.0, 2.0, 3.0])
)
self.assertEqual(hyp.range, [0.0, 3.0])
inverse_transform = hyp.inverse_transform([3, 0, 1, 5, 2.5])
np.testing.assert_array_equal(
inverse_transform,
np.array([0.6, 0.5, 0.1, 0.6, 0.6])
)
