pm4py.algo.conformance.alignments.edit_distance 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

• pm4py.algo.conformance.alignments.edit_distance.variants package
  • Submodules
  • pm4py.algo.conformance.alignments.edit_distance.variants.edit_distance module
    • Parameters
      • Parameters.PERFORM_ANTI_ALIGNMENT
      • Parameters.ACTIVITY_KEY
      • Parameters.TIMESTAMP_KEY
    • apply()
    • align_trace()
    • project_log_on_variant()

Submodules

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

Bases: Enum

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: EventLog | DataFrame, log2: EventLog | DataFrame, variant=Variants.EDIT_DISTANCE, parameters: Dict[Any, Any] | None = None) → List[Dict[str, Any]]

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