pm4py.algo.discovery.ocel.ocdfg.variants package¶

Submodules¶

pm4py.algo.discovery.ocel.ocdfg.variants.classic module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.discovery.ocel.ocdfg.variants.classic.Parameters[source]¶

Bases: enum.Enum

An enumeration.

EVENT_ACTIVITY = 'param:event:activity'¶

OBJECT_TYPE = 'param:object:type'¶

pm4py.algo.discovery.ocel.ocdfg.variants.classic.apply(ocel: pm4py.objects.ocel.obj.OCEL, 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 parameters – Parameters of the algorithm, including: - Parameters.EVENT_ACTIVITY => the attribute to be used as activity - Parameters.OBJECT_TYPE => the attribute to be used as object type
Returns:	Object-centric directly-follows graph
Return type:	ocdfg

Module contents¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.