pm4py.algo.transformation.ocel.split_ocel 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.transformation.ocel.split_ocel.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.transformation.ocel.split_ocel.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum
- CONNECTED_COMPONENTS = <module 'pm4py.algo.transformation.ocel.split_ocel.variants.connected_components' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\transformation\\ocel\\split_ocel\\variants\\connected_components.py'>#
- ANCESTORS_DESCENDANTS = <module 'pm4py.algo.transformation.ocel.split_ocel.variants.ancestors_descendants' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\transformation\\ocel\\split_ocel\\variants\\ancestors_descendants.py'>#
- pm4py.algo.transformation.ocel.split_ocel.algorithm.apply(ocel: OCEL, variant=Variants.CONNECTED_COMPONENTS, parameters: Dict[Any, Any] | None = None)[source]#
Splits an OCEL into sub-OCELs using a given criteria (variant).
Parameters#
- ocel
OCEL
- variant
Variant of the algorithm to be used, possible values: - Variants.CONNECTED_COMPONENTS
Returns#
- splitted_ocel
List of OCELs found based on the connected components