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

Bases: Enum

LOG_MODEL = <module 'pm4py.algo.conformance.footprints.variants.log_model' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\footprints\\variants\\log_model.py'>#
LOG_EXTENSIVE = <module 'pm4py.algo.conformance.footprints.variants.log_extensive' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\footprints\\variants\\log_extensive.py'>#
TRACE_EXTENSIVE = <module 'pm4py.algo.conformance.footprints.variants.trace_extensive' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\footprints\\variants\\trace_extensive.py'>#
pm4py.algo.conformance.footprints.algorithm.apply(log_footprints: Dict[str, Any] | List[Dict[str, Any]], model_footprints: Dict[str, Any], variant=Variants.LOG_MODEL, parameters: Dict[Any, Any] | None = None) → List[Dict[str, Any]] | Dict[str, Any][source]#

Apply footprints conformance between a log footprints object and a model footprints object

Parameters#

log_footprints

Footprints of the log

model_footprints

Footprints of the model

parameters
Parameters of the algorithm, including:

  • Parameters.STRICT => strict check of the footprints

Returns#

violations

Set/dictionary of all the violations between the log footprints and the model footprints, OR list of case-per-case violations

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