pm4py.algo.discovery.ocel.ocdfg package

pm4py.algo.discovery.ocel.ocdfg.algorithm module

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class pm4py.algo.discovery.ocel.ocdfg.algorithm.Variants(value)[source]

Bases: enum.Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.discovery.ocel.ocdfg.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\ocel\\ocdfg\\variants\\classic.py'>
pm4py.algo.discovery.ocel.ocdfg.algorithm.apply(ocel: pm4py.objects.ocel.obj.OCEL, variant=Variants.CLASSIC, parameters: Optional[Dict[Any, Any]] = None) Dict[str, Any][source]

Discovers an OC-DFG model from an object-centric event log Reference paper: Berti, Alessandro, and Wil van der Aalst. “Extracting multiple viewpoint models from relational databases.” Data-Driven Process Discovery and Analysis. Springer, Cham, 2018. 24-51.

Parameters
• ocel – Object-centric event log

• variant – Variant of the algorithm to use: - Variants.CLASSIC

• parameters – Variant-specific parameters

Returns

Object-centric directly-follows graph

Return type

ocdfg