pm4py.simulation.montecarlo.utils package

Submodules

pm4py.simulation.montecarlo.utils.replay module

pm4py.simulation.montecarlo.utils.replay.get_map_from_log_and_net(log, net, initial_marking, final_marking, force_distribution=None, parameters=None)[source]

Get transition stochastic distribution map given the log and the Petri net

Parameters
  • log – Event log

  • net – Petri net

  • initial_marking – Initial marking of the Petri net

  • final_marking – Final marking of the Petri net

  • force_distribution – If provided, distribution to force usage (e.g. EXPONENTIAL)

  • parameters

    Parameters of the algorithm, including:

    Parameters.ACTIVITY_KEY -> activity name Parameters.TIMESTAMP_KEY -> timestamp key

Returns

Map that to each transition associates a random variable

Return type

stochastic_map

Module contents