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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=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, element_indx):
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#print(element_indx)
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self.state_transition_matrix[element_indx[0]][element_indx[1]] += 1
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def update_state_residence_time_for_state(self, state, time):
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#print("Time updating In state", state, time)
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self.state_residence_times[state] += time
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def compute_cim_coefficients(self):
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for i, row in enumerate(self.state_transition_matrix):
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row_sum = 0.0
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for j, elem in enumerate(row):
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rate_coefficient = elem / self.state_residence_times[i]
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self.cim[i][j] = rate_coefficient
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row_sum = row_sum + rate_coefficient
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self.cim[i][i] = -1 * row_sum
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