pm4py.algo.discovery.ocel.ocdfg package¶
Subpackages¶
Submodules¶
pm4py.algo.discovery.ocel.ocdfg.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/>.
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class
pm4py.algo.discovery.ocel.ocdfg.algorithm.Variants[source]¶ Bases:
enum.EnumAn enumeration.
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CLASSIC= <module 'pm4py.algo.discovery.ocel.ocdfg.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/stable/pm4py/algo/discovery/ocel/ocdfg/variants/classic.py'>¶
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pm4py.algo.discovery.ocel.ocdfg.algorithm.apply(ocel: pm4py.objects.ocel.obj.OCEL, variant=<Variants.CLASSIC: <module 'pm4py.algo.discovery.ocel.ocdfg.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/stable/pm4py/algo/discovery/ocel/ocdfg/variants/classic.py'>>, 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
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/>.