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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/tests/structure_graph/test_cim.py

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#!/usr/bin/env python3
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# License: MIT License
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import unittest
import numpy as np
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from pyctbn.legacy.structure_graph.conditional_intensity_matrix import ConditionalIntensityMatrix
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class TestConditionalIntensityMatrix(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
cls.state_res_times = np.random.rand(1, 3)[0]
cls.state_res_times = cls.state_res_times * 1000
cls.state_transition_matrix = np.random.randint(1, 10000, (3, 3))
for i in range(0, len(cls.state_res_times)):
cls.state_transition_matrix[i, i] = 0
cls.state_transition_matrix[i, i] = np.sum(cls.state_transition_matrix[i])
def test_init(self):
c1 = ConditionalIntensityMatrix(state_residence_times = self.state_res_times,
state_transition_matrix = self.state_transition_matrix)
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self.assertTrue(np.array_equal(self.state_res_times, c1.state_residence_times))
self.assertTrue(np.array_equal(self.state_transition_matrix, c1.state_transition_matrix))
self.assertEqual(c1.cim.dtype, float)
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self.assertEqual(self.state_transition_matrix.shape, c1.cim.shape)
def test_compute_cim_coefficients(self):
c1 = ConditionalIntensityMatrix(state_residence_times = self.state_res_times,
state_transition_matrix = self.state_transition_matrix)
c2 = self.state_transition_matrix.astype(float)
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np.fill_diagonal(c2, c2.diagonal() * -1)
for i in range(0, len(self.state_res_times)):
for j in range(0, len(self.state_res_times)):
c2[i, j] = (c2[i, j] + 1) / (self.state_res_times[i] + 1)
c1.compute_cim_coefficients()
for i in range(0, len(c1.state_residence_times)):
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self.assertTrue(np.isclose(np.sum(c1.cim[i]), 0.0, 1e01,1e01))
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for i in range(0, len(self.state_res_times)):
for j in range(0, len(self.state_res_times)):
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self.assertTrue(np.isclose(c1.cim[i, j], c2[i, j], 1e01))
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def test_repr(self):
c1 = ConditionalIntensityMatrix(state_residence_times = self.state_res_times,
state_transition_matrix = self.state_transition_matrix)
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print(c1)
if __name__ == '__main__':
unittest.main()