pm4py.algo.discovery.ocel.saw_nets package#

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/>.

Subpackages#

Submodules#

pm4py.algo.discovery.ocel.saw_nets.algorithm 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.saw_nets.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

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

Discovers a SAW net representing the behavior of the provided object-centric event log.

Parameters#

ocel

Object-centric event log

variant

The variant of the algorithm to be used, possible values: Variants.CLASSIC

parameters

Variant-specific parameters

Returns#

Dictionary with the following keys:
  • ot_saw_net => the SAW nets for the single object types

  • multi_saw_net => the overall SAW net

  • decorations_multi_saw_net => decorations for the visualization of the SAW net