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

Bases: Enum

APPROXIMATED_ORIGINAL = <module 'pm4py.algo.conformance.alignments.process_tree.variants.approximated.original' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\alignments\\process_tree\\variants\\approximated\\original.py'>#
APPROXIMATED_MATRIX_LP = <module 'pm4py.algo.conformance.alignments.process_tree.variants.approximated.matrix_lp' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\alignments\\process_tree\\variants\\approximated\\matrix_lp.py'>#
SEARCH_GRAPH_PT = <module 'pm4py.algo.conformance.alignments.process_tree.variants.search_graph_pt' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\alignments\\process_tree\\variants\\search_graph_pt.py'>#
pm4py.algo.conformance.alignments.process_tree.algorithm.apply(obj: EventLog | Trace | DataFrame, pt: ProcessTree, variant=Variants.SEARCH_GRAPH_PT, parameters: Dict[Any, Any] | None = None) → Dict[str, Any] | List[Dict[str, Any]][source]#

Align an event log or a trace with a process tree

Parameters#

obj

Log / Trace

pt

Process tree

variant

Variant

parameters

Variant-specific parameters

Returns#

alignments

Alignments

On this page
Show Source