The main functionality is presented below. For more details see docstrings in an appropriate module.

• Class ProcessMap

  • .set_log(self, FILE_PATH, cols=(0,1), *args, **kwargs): Set Log attribute of the class.
  • .set_rates(self, activity_rate, path_rate): Set Rates attribute of the class.
  • .set_params(self, **kwargs): Set Params attribute of the class.
  • .update(self): Update "observers" and rates if settings were changed.
  • .get_log(self): Return flat log.
  • .get_rates(self): Return activities and paths rates.
  • .get_params(self): Return parameters of process model discovering.
  • .get_T(self): Return transition matrix.
  • .get_graph(self): Return process model structure as a set of edges.
  • .render(self, save_path=None): Return a graph object that can be rendered with the Graphviz installation.

• Class Graph

  • .update(self, log, activity_rate, path_rate, T): Update nodes and edges attributes.
  • .optimize(self, log, T, lambd, step, verbose=False): Find optimal rates for the process model.
  • .aggregate(self, log, activity_rate, path_rate, pre_traverse=False, ordered=False): Aggregate cycle nodes into meta state.
  • .cycles_search(self, pre_traverse=False): Perform DFS for cycles search in a graph.
  • .cycles_replay(self, log, cycles=[], ordered=False): Replay log and count occurrences of cycles found in the process model.
  • .find_states(self, log, ordered=False, pre_traverse=False): Define meta states in the model.
  • .fitness(self, log, T=None): Return the value of a cost function that includes only loss term.

• Class Renderer

  • .update(self, TM, G, colored=True): Update graph object and its representation.
  • .show(self): Return graph in DOT language.
  • .save(self, save_path=None): Render and save graph in PNG (GV) format in the working directory or in save_path.