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@ -1,6 +1,8 @@ |
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import os |
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import time as tm |
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import network_graph as ng |
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import sample_path as sp |
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import os |
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import amalgamated_cims as acims |
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@ -16,6 +18,62 @@ class ParametersEstimator: |
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self.net_graph.get_nodes(), |
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self.net_graph.get_ord_set_of_par_of_all_nodes()) |
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def parameters_estimation(self): |
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print("Starting computing") |
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t0 = tm.time() |
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for indx, trajectory in enumerate(self.sample_path.trajectories): |
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self.parameters_estimation_single_trajectory(trajectory.get_trajectory()) |
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#print("Finished Trajectory number", indx) |
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t1 = tm.time() - t0 |
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print("Elapsed Time ", t1) |
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def parameters_estimation_single_trajectory(self, trajectory): |
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#print(type(trajectory[0][0])) |
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for indx, row in enumerate(trajectory): |
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if trajectory[indx][1] == -1: |
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break |
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if trajectory[indx + 1][1] != -1: |
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transition = self.find_transition(trajectory[indx], trajectory[indx + 1]) |
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which_node = self.net_graph.get_node_by_index(transition[0]) |
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# print(which_node) |
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which_matrix = self.which_matrix_to_update(row, which_node) |
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which_element = transition[1] |
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self.amalgamated_cims_struct.update_state_transition_for_matrix(which_node, which_matrix, which_element) |
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#changed_node = which_node |
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time = self.compute_time_delta(trajectory[indx], trajectory[indx + 1]) |
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for node in self.net_graph.get_nodes(): |
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#if node != changed_node: |
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# print(node) |
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which_node = node |
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which_matrix = self.which_matrix_to_update(row, which_node) |
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which_element = row[self.net_graph.get_node_indx(node) + 1] |
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# print("State res time element " + str(which_element) + node) |
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# print("State res time matrix indx" + str(which_matrix)) |
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self.amalgamated_cims_struct.update_state_residence_time_for_matrix(which_node, which_matrix, which_element, time) |
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def find_transition(self, current_row, next_row): |
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for indx in range(1, len(current_row)): |
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if current_row[indx] != next_row[indx]: |
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return [indx - 1, (current_row[indx], next_row[indx])] |
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def compute_time_delta(self, current_row, next_row): |
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return next_row[0] - current_row[0] |
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def which_matrix_to_update(self, current_row, node_id): # produce strutture {'X':1, 'Y':2} dove X e Y sono i parent di node_id |
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result = {} |
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parent_list = self.net_graph.get_parents_by_id(node_id) |
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for node in parent_list: |
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result[node] = current_row[self.net_graph.get_node_indx(node) + 1] |
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# print(result) |
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return result |
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# Simple Test # |
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os.getcwd() |
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os.chdir('..') |
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@ -32,3 +90,11 @@ pe = ParametersEstimator(s1, g1) |
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pe.init_amalgamated_cims_struct() |
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print(pe.amalgamated_cims_struct.get_set_of_cims('X').get_cims_number()) |
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print(pe.amalgamated_cims_struct.get_set_of_cims('Y').get_cims_number()) |
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#pe.parameters_estimation_single_trajectory(pe.sample_path.trajectories[0].get_trajectory()) |
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pe.parameters_estimation() |
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for matrix in pe.amalgamated_cims_struct.get_set_of_cims('Y').actual_cims: |
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print(matrix.state_residence_times) |
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print(matrix.state_transition_matrix) |
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matrix.compute_cim_coefficients() |
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print(matrix.cim) |
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