pm4py.algo.discovery.ocel.ocpn.variants package

Submodules

pm4py.algo.discovery.ocel.ocpn.variants.wo_annotation 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.ocpn.variants.wo_annotation.Parameters

Bases: enum.Enum

An enumeration.

DOUBLE_ARC_THRESHOLD = 'double_arc_threshold'

EVENT_ACTIVITY = 'param:event:activity'

OBJECT_TYPE = 'param:object:type'

pm4py.algo.discovery.ocel.ocpn.variants.wo_annotation.apply(ocel: pm4py.objects.ocel.obj.OCEL, parameters: Optional[Dict[Any, Any]] = None) → Dict[str, Any]

Discovers an object-centric Petri net (without annotation) from the given object-centric event log, using the Inductive Miner as process discovery algorithm.

Reference paper: van der Aalst, Wil MP, and Alessandro Berti. “Discovering object-centric Petri nets.” Fundamenta informaticae 175.1-4 (2020): 1-40.

Parameters:

• ocel – Object-centric event log
• parameters – Parameters of the algorithm, including: - Parameters.EVENT_ACTIVITY => the activity attribute to be used - Parameters.OBJECT_TYPE => the object type attribute to be used - Parameters.DOUBLE_ARC_THRESHOLD => the threshold for the attribution of the “double arc”, as described in the paper.

Returns:

Object-centric Petri net model, as a dictionary of properties.

Return type:

ocpn

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/>.