91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
#!/usr/bin/env python
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# Copyright (c) 2016 Hewlett Packard Enterprise Development Company, L.P.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import logging
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import unittest
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import numpy as np
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from monasca_analytics.sml import lingam
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logger = logging.getLogger(__name__)
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class LiNGAMTest(unittest.TestCase):
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def setUp(self):
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unittest.TestCase.setUp(self)
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def tearDown(self):
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unittest.TestCase.tearDown(self)
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def test_continuous_lingam_algorithm(self):
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b = np.random.laplace(size=500)
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a = np.random.laplace(size=500) + b
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d = np.random.laplace(size=500) + a + b
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c = np.random.laplace(size=500) + d
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data = np.array([a, b, c, d])
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causality_matrix, causal_order =\
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lingam.LiNGAM._discover_structure(data.T)
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logger.debug("\nb deps (should be almost zero): {}"
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.format(np.sum(np.abs(causality_matrix[1, :]))))
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logger.debug("\ncausality matrix:\n{}".format(causality_matrix))
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self.assertEqual(np.all(causal_order == np.array([1, 0, 3, 2])), True,
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"Algorithm didn't found the causal order!")
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def test_discrete_set_lingam_algorithm(self):
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b = np.random.laplace(size=500)
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a = np.random.laplace(size=500) + b
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d = np.random.laplace(size=500) + a + b
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c = np.random.laplace(size=500) + d
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data = np.array([a, b, c, d])
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data = np.floor(data)
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causality_matrix, causal_order =\
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lingam.LiNGAM._discover_structure(data.T)
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logger.debug("\nb deps (should be almost zero): {}"
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.format(np.sum(np.abs(causality_matrix[1, :]))))
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logger.debug("\ncausality matrix:\n{}".format(causality_matrix))
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self.assertEqual(np.all(causal_order == np.array([1, 0, 3, 2])), True,
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"Algorithm didn't found the causal order!")
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def test_discrete_set_absolute_value_lingam_algorithm(self):
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b = np.random.laplace(size=500)
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a = np.random.laplace(size=500) + b
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d = np.random.laplace(size=500) + a + b
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c = np.random.laplace(size=500) + d
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data = np.array([a, b, c, d])
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data = np.floor(data)
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data = np.abs(data)
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causality_matrix, causal_order =\
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lingam.LiNGAM._discover_structure(data.T)
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logger.debug("\nb deps (should be almost zero): {}"
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.format(np.sum(np.abs(causality_matrix[1, :]))))
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logger.debug("\ncausality matrix:\n{}".format(causality_matrix))
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self.assertEqual(np.all(causal_order == np.array([1, 0, 3, 2])), True,
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"Algorithm didn't found the causal order!")
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def test_get_default_config(self):
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default_config = lingam.LiNGAM.get_default_config()
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lingam.LiNGAM.validate_config(default_config)
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self.assertEqual("LiNGAM", default_config["module"])
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if __name__ == "__main__":
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unittest.main()
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