Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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13 lines
530 B
13 lines
530 B
import numpy as np
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class ConditionalIntensityMatrix:
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def __init__(self, dimension):
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self.state_residence_times = np.zeros(shape=(1, dimension))
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self.state_transition_matrix = np.zeros(shape=(dimension, dimension), dtype=int)
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self.cim = np.zeros(shape=(dimension, dimension), dtype=float)
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def update_state_transition_count(self, positions_list):
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self.state_transition_matrix[positions_list[0]][positions_list[1]] = self.state_transition_matrix[positions_list[0]][positions_list[1]] + 1
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