pm4py.algo.evaluation.precision.algorithm module#

PM4Py – A Process Mining Library for Python

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class pm4py.algo.evaluation.precision.algorithm.Variants(*values)[source]#

Bases: Enum

ETCONFORMANCE_TOKEN = <module 'pm4py.algo.evaluation.precision.variants.etconformance_token' from '/home/berti/pm4py/pm4py/algo/evaluation/precision/variants/etconformance_token.py'>#
ALIGN_ETCONFORMANCE = <module 'pm4py.algo.evaluation.precision.variants.align_etconformance' from '/home/berti/pm4py/pm4py/algo/evaluation/precision/variants/align_etconformance.py'>#
AUTOMATON_AFTER_ALIGN = <module 'pm4py.algo.evaluation.precision.variants.automaton_after_align' from '/home/berti/pm4py/pm4py/algo/evaluation/precision/variants/automaton_after_align.py'>#
pm4py.algo.evaluation.precision.algorithm.apply(log: EventLog | EventStream | DataFrame, net: PetriNet, marking: Marking, final_marking: Marking, parameters: Dict[Any, Any] | None = None, variant=None) → float[source]#

Method to apply ET Conformance

Parameters:

  • log – Trace log

  • net – Petri net

  • marking – Initial marking

  • final_marking – Final marking

  • parameters –

    Parameters of the algorithm, including:

    pm4py.util.constants.PARAMETER_CONSTANT_ACTIVITY_KEY -> Activity key

  • variant –

    Variant of the algorithm that should be applied:

    • Variants.ETCONFORMANCE_TOKEN

    • Variants.ALIGN_ETCONFORMANCE