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

Bases: Enum

CLASSIC = <module 'pm4py.streaming.algo.conformance.tbr.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\streaming\\algo\\conformance\\tbr\\variants\\classic.py'>#
pm4py.streaming.algo.conformance.tbr.algorithm.apply(net, im, fm, variant=Variants.CLASSIC, parameters=None)[source]#

Method that creates the TbrStreamingConformance object

Parameters#

net

Petri net

im

Initial marking

fm

Final marking

variant
Variant of the algorithm to use, possible:
  • Variants.CLASSIC

parameters

Parameters of the algorithm

Returns#

conf_stream_obj

Conformance streaming object