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

Bases: Enum

ENTIRE_EVENT_LOG = <module 'pm4py.algo.discovery.footprints.log.variants.entire_event_log' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\footprints\\log\\variants\\entire_event_log.py'>#
ENTIRE_DATAFRAME = <module 'pm4py.algo.discovery.footprints.log.variants.entire_dataframe' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\footprints\\log\\variants\\entire_dataframe.py'>#
TRACE_BY_TRACE = <module 'pm4py.algo.discovery.footprints.log.variants.trace_by_trace' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\footprints\\log\\variants\\trace_by_trace.py'>#
PETRI_REACH_GRAPH = <module 'pm4py.algo.discovery.footprints.petri.variants.reach_graph' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\footprints\\petri\\variants\\reach_graph.py'>#
PROCESS_TREE = <module 'pm4py.algo.discovery.footprints.tree.variants.bottomup' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\footprints\\tree\\variants\\bottomup.py'>#
DFG = <module 'pm4py.algo.discovery.footprints.dfg.variants.dfg' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\footprints\\dfg\\variants\\dfg.py'>#
pm4py.algo.discovery.footprints.algorithm.apply(*args, variant=None, parameters: Dict[Any, Any] | None = None) Dict[str, Any][source]#

Discovers a footprint object from a log/model

Parameters#

args

Positional arguments that describe the log/model

parameters

Parameters of the algorithm

variant
Variant of the algorithm, including:
  • Variants.ENTIRE_EVENT_LOG

  • Variants.TRACE_BY_TRACE

  • Variants.PETRI_REACH_GRAPH

  • Variants.DFG

Returns#

footprints_obj

Footprints object