pm4py.algo.conformance.alignments.dfg package#

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

Subpackages#

Submodules#

pm4py.algo.conformance.alignments.dfg.algorithm 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.conformance.alignments.dfg.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

CLASSIC = <module 'pm4py.algo.conformance.alignments.dfg.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\alignments\\dfg\\variants\\classic.py'>#
pm4py.algo.conformance.alignments.dfg.algorithm.apply(obj: EventLog | DataFrame | Trace, dfg: Dict[Tuple[str, str], int], sa: Dict[str, int], ea: Dict[str, int], variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) Dict[str, Any] | List[Dict[str, Any]][source]#

Applies the alignment algorithm provided a log/trace object, and a connected DFG

Parameters#

obj

Event log / Trace

dfg

Connected directly-Follows Graph

sa

Start activities

ea

End activities

variant

Variant of the DFG alignments to be used. Possible values: - Variants.CLASSIC

parameters

Variant-specific parameters.

Returns#

ali

Result of the alignment