parameters_estimator module

class parameters_estimator.ParametersEstimator(trajectories: trajectory.Trajectory, net_graph: network_graph.NetworkGraph)

Bases: object

Has the task of computing the cims of particular node given the trajectories and the net structure in the graph _net_graph.

Parameters
_single_set_of_cims

the set of cims object that will hold the cims of the node

compute_parameters_for_node(node_id: str) → set_of_cims.SetOfCims

Compute the CIMS of the node identified by the label node_id.

Parameters

node_id (string) – the node label

Returns

A SetOfCims object filled with the computed CIMS

Return type

SetOfCims

compute_state_res_time_for_node(node_indx: int, times: numpy.ndarray, trajectory: numpy.ndarray, cols_filter: numpy.ndarray, scalar_indexes_struct: numpy.ndarray, T: numpy.ndarray) → None

Compute the state residence times for a node and fill the matrix T with the results

Parameters

  • node_indx (int) – the index of the node

  • times (numpy.array) – the times deltas vector

  • trajectory (numpy.ndArray) – the trajectory

  • cols_filter (numpy.array) – the columns filtering structure

  • scalar_indexes_struct (numpy.array) – the indexing structure

  • T (numpy.ndArray) – the state residence times vectors

compute_state_transitions_for_a_node(node_indx: int, trajectory: numpy.ndarray, cols_filter: numpy.ndarray, scalar_indexing: numpy.ndarray, M: numpy.ndarray)

Compute the state residence times for a node and fill the matrices M with the results.

Parameters

  • node_indx (int) – the index of the node

  • trajectory (numpy.ndArray) – the trajectory

  • cols_filter (numpy.array) – the columns filtering structure

  • scalar_indexing (numpy.array) – the indexing structure

  • M (numpy.ndArray) – the state transitions matrices

fast_init(node_id: str) → None

Initializes all the necessary structures for the parameters estimation for the node node_id.

Parameters

node_id (string) – the node label