Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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38 lines
1.6 KiB
38 lines
1.6 KiB
import unittest
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import random
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import numpy as np
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from PyCTBN.PyCTBN.structure_graph.network_generator import NetworkGenerator
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class TestNetworkGenerator(unittest.TestCase):
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def test_generate_graph(self):
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labels = ["U", "V", "W", "X", "Y", "Z"]
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card = 3
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vals = [card for l in labels]
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ng = NetworkGenerator(labels, vals)
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ng.generate_graph(0.3)
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self.assertEqual(len(labels), len(ng.graph.nodes))
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self.assertEqual(len([edge for edge in ng.graph.edges if edge[0] == edge[1]]), 0)
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def test_generate_cims(self):
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labels = ["U", "V", "W", "X", "Y", "Z"]
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card = 3
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vals = [card for l in labels]
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cim_min = random.uniform(0.5, 5)
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cim_max = random.uniform(0.5, 5) + cim_min
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ng = NetworkGenerator(labels, vals)
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ng.generate_graph(0.3)
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ng.generate_cims(cim_min, cim_max)
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self.assertEqual(len(ng.cims), len(labels))
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self.assertListEqual(list(ng.cims.keys()), labels)
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for key in ng.cims:
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p_card = ng.graph.get_ordered_by_indx_set_of_parents(key)[2]
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comb = ng.graph.build_p_comb_structure_for_a_node(p_card)
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self.assertEqual(len(ng.cims[key].actual_cims), len(comb))
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for cim in ng.cims[key].actual_cims:
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self.assertEqual(sum(c > 0 for c in cim.cim.diagonal()), 0)
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for i, row in enumerate(cim.cim):
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self.assertEqual(round(sum(row) - row[i], 8), round(-1 * row[i], 8))
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self.assertEqual(sum(c < 0 for c in np.delete(cim.cim[i], i)), 0)
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unittest.main() |