pm4py.algo.conformance.alignments.edit_distance 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.conformance.alignments.edit_distance.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.conformance.alignments.edit_distance.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

EDIT_DISTANCE = <module 'pm4py.algo.conformance.alignments.edit_distance.variants.edit_distance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\alignments\\edit_distance\\variants\\edit_distance.py'>#
pm4py.algo.conformance.alignments.edit_distance.algorithm.apply(log1: Union[EventLog, DataFrame], log2: Union[EventLog, DataFrame], variant=Variants.EDIT_DISTANCE, parameters: Optional[Dict[Any, Any]] = None) List[Dict[str, Any]][source]#

Aligns each trace of the first log against the second log

Parameters#

log1

First log

log2

Second log

variant

Variant of the algorithm, possible values: - Variants.EDIT_DISTANCE: minimizes the edit distance

parameters

Parameters of the algorithm

Returns#

aligned_traces

List that contains, for each trace of the first log, the corresponding alignment