pm4py.algo.discovery.ilp.algorithm module#

PM4Py – A Process Mining Library for Python

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class pm4py.algo.discovery.ilp.algorithm.Variants(*values)[source]#

Bases: Enum

CLASSIC = <module 'pm4py.algo.discovery.ilp.variants.classic' from '/home/berti/pm4py/pm4py/algo/discovery/ilp/variants/classic.py'>#
pm4py.algo.discovery.ilp.algorithm.apply(log: EventLog | EventStream | DataFrame, variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → Tuple[PetriNet, Marking, Marking][source]#

Discovers a Petri net using the ILP miner.

Parameters:

  • log – Event log / Event stream / Pandas dataframe

  • variant – Variant of the algorithm to be used, possible values: - Variants.CLASSIC

  • parameters – Variant-specific parameters

Returns:

  • net – Petri net

  • im – Initial marking

  • fm – Final marking

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