pm4py.algo.evaluation.earth_mover_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#
Submodules#
pm4py.algo.evaluation.earth_mover_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.evaluation.earth_mover_distance.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- PYEMD = <module 'pm4py.algo.evaluation.earth_mover_distance.variants.pyemd' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\evaluation\\earth_mover_distance\\variants\\pyemd.py'>#
- pm4py.algo.evaluation.earth_mover_distance.algorithm.apply(lang1: Dict[List[str], float], lang2: Dict[List[str], float], variant=Variants.PYEMD, parameters: Dict[Any, Any] | None = None) float[source]#
Gets the EMD language between the two languages
Parameters#
- lang1
First language
- lang2
Second language
- variant
Variants of the algorithm
- parameters
Parameters
- variants
- Variants of the algorithm, including:
Variants.PYEMD: pyemd based distance
Returns#
- dist
EMD distance