pm4py.algo.simulation.playout.dfg package

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Subpackages

• pm4py.algo.simulation.playout.dfg.variants package
  • Submodules
  • pm4py.algo.simulation.playout.dfg.variants.classic module
    • Parameters
      • Parameters.MAX_NO_VARIANTS
      • Parameters.MIN_WEIGHTED_PROBABILITY
      • Parameters.MAX_NO_OCC_PER_ACTIVITY
      • Parameters.ACTIVITY_KEY
      • Parameters.TIMESTAMP_KEY
      • Parameters.INTERRUPT_SIMULATION_WHEN_DFG_COMPLETE
      • Parameters.ADD_TRACE_IF_TAKES_NEW_ELS_TO_DFG
      • Parameters.RETURN_VARIANTS
      • Parameters.MAX_EXECUTION_TIME
      • Parameters.RETURN_ONLY_IF_COMPLETE
      • Parameters.MIN_VARIANT_OCC
    • get_node_tr_probabilities()
    • get_traces()
    • apply()
    • get_trace_probability()
  • pm4py.algo.simulation.playout.dfg.variants.performance module
    • Parameters
      • Parameters.NUM_TRACES
      • Parameters.ACTIVITY_KEY
      • Parameters.TIMESTAMP_KEY
      • Parameters.CASE_ID_KEY
      • Parameters.CASE_ARRIVAL_RATE
      • Parameters.PERFORMANCE_DFG
      • Parameters.PARAM_ARTIFICIAL_START_ACTIVITY
      • Parameters.PARAM_ARTIFICIAL_END_ACTIVITY
    • dict_based_choice()
    • apply()

Submodules

pm4py.algo.simulation.playout.dfg.algorithm module

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.algo.simulation.playout.dfg.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

CLASSIC = <module 'pm4py.algo.simulation.playout.dfg.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\dfg\\variants\\classic.py'>

PERFORMANCE = <module 'pm4py.algo.simulation.playout.dfg.variants.performance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\dfg\\variants\\performance.py'>

pm4py.algo.simulation.playout.dfg.algorithm.apply(dfg: Dict[Tuple[str, str], int], start_activities: Dict[str, int], end_activities: Dict[str, int], variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → EventLog | Dict[Tuple[str, str], int]

Applies the playout algorithm on a DFG, extracting the most likely traces according to the DFG

Parameters

dfg

Complete DFG

start_activities

Start activities

end_activities

End activities

variant

Variant of the playout to be used, possible values: - Variants.CLASSIC - Variants.PERFORMANCE

parameters

Parameters of the algorithm

Returns

simulated_log

Simulated log