pm4py.algo.discovery.powl.inductive.cuts.loop module#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program 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 Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.algo.discovery.powl.inductive.cuts.loop.POWLLoopCut[source]#

Bases: LoopCut, ABC, Generic[T]

classmethod operator(parameters: Dict[str, Any] | None = None) → OperatorPOWL[source]#
classmethod apply(obj: T, parameters: Dict[str, Any] | None = None) → Tuple[POWL, List[T]] | None[source]#
class pm4py.algo.discovery.powl.inductive.cuts.loop.POWLLoopCutUVCL[source]#

Bases: LoopCutUVCL, POWLLoopCut[IMDataStructureUVCL]