def get_next_parameters(self):
"""
Extract the next set of parameters.
returns: an array of parameters.
"""
return parse_smac_param_string(self.next_param_string)
def test_param_string_simple(self):
param_string = "instance0 0 18000.0 2147483647 4 -x0 '6.9846789681200185' -x1 '13.43140264469383'"
x_expected = np.asarray([6.9846789681200185, 13.43140264469383])
params = parse_smac_param_string(param_string)
x = params["x"]
self.failUnless(np.allclose(x, x_expected, rtol=1e-05, atol=1e-08))
def test_param_string_simple(self):
param_string = "instance0 0 18000.0 2147483647 4 -x0 '6.9846789681200185' -x1 '13.43140264469383'"
x_expected = np.asarray([6.9846789681200185, 13.43140264469383])
params = parse_smac_param_string(param_string)
x = params["x"]
self.failUnless(np.allclose(x, x_expected, rtol=1e-05, atol=1e-08))
def get_next_parameters(self):
"""
Extract the next set of parameters.
returns: an array of parameters.
"""
return parse_smac_param_string(self._next_param_string)
def test_param_string_int(self):
param_string = "instance0 0 18000.0 2147483647 4 -x_int0 '6' -x_int1 '13'"
x_expected = np.asarray([6, 13])
params = parse_smac_param_string(param_string)
x = params["x_int"]
self.assertTrue(x.dtype == np.int)
self.failUnless(np.allclose(x, x_expected, rtol=1e-05, atol=1e-08))
def test_param_string_int(self):
param_string = "instance0 0 18000.0 2147483647 4 -x_int0 '6' -x_int1 '13'"
x_expected = np.asarray([6, 13])
params = parse_smac_param_string(param_string)
x = params["x_int"]
self.assertTrue(x.dtype == np.int)
self.failUnless(np.allclose(x, x_expected, rtol=1e-05, atol=1e-08))
def test_param_string_mixed(self):
param_string = "instance0 0 18000.0 2147483647 4 -x0 '6.9846789681200185' -x_int0 '6' -x_categorical_param1 'test' -x1 '13.43140264469383' -x_int1 '13'"
params = parse_smac_param_string(param_string)
x = params["x"]
x_expected = np.asarray([6.9846789681200185, 13.43140264469383])
self.failUnless(np.allclose(x, x_expected, rtol=1e-05, atol=1e-08))
x_int = params["x_int"]
self.failUnless(np.allclose(x_int, np.asarray([6, 13]), rtol=1e-05, atol=1e-08))
self.assertTrue(x_int.dtype == np.int)
x = params["x_categorical"]
self.assertEqual(x, {"param1": "test"})
def test_param_string_mixed(self):
param_string = "instance0 0 18000.0 2147483647 4 -x0 '6.9846789681200185' -x_int0 '6' -x_categorical_param1 'test' -x1 '13.43140264469383' -x_int1 '13'"
params = parse_smac_param_string(param_string)
x = params["x"]
x_expected = np.asarray([6.9846789681200185, 13.43140264469383])
self.failUnless(np.allclose(x, x_expected, rtol=1e-05, atol=1e-08))
x_int = params["x_int"]
self.failUnless(
np.allclose(x_int, np.asarray([6, 13]), rtol=1e-05, atol=1e-08))
self.assertTrue(x_int.dtype == np.int)
x = params["x_categorical"]
self.assertEqual(x, {"param1": "test"})
def test_param_string_categorical(self):
param_string = "instance0 0 18000.0 2147483647 4 -x_categorical_param0 '6' -x_categorical_param1 'test'"
params = parse_smac_param_string(param_string)
x = params["x_categorical"]
self.assertEqual(x, {"param0": 6., "param1": "test"})
def test_param_string_categorical(self):
param_string = "instance0 0 18000.0 2147483647 4 -x_categorical_param0 '6' -x_categorical_param1 'test'"
params = parse_smac_param_string(param_string)
x = params["x_categorical"]
self.assertEqual(x, {"param0": 6., "param1": "test"})