pm4py.algo.conformance.declare 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.declare.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.declare.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- CLASSIC = <module 'pm4py.algo.conformance.declare.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\declare\\variants\\classic.py'>#
- pm4py.algo.conformance.declare.algorithm.apply(log: EventLog | DataFrame, model: Dict[str, Dict[Any, Dict[str, int]]], variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) List[Dict[str, Any]][source]#
Applies conformance checking against a DECLARE model.
Parameters#
- log
Event log / Pandas dataframe
- model
DECLARE model
- variant
Variant to be used: - Variants.CLASSIC
- parameters
Variant-specific parameters
Returns#
- lst_conf_res
List containing for every case a dictionary with different keys: - no_constr_total => the total number of constraints of the DECLARE model - deviations => a list of deviations - no_dev_total => the total number of deviations - dev_fitness => the fitness (1 - no_dev_total / no_constr_total) - is_fit => True if the case is perfectly fit
- pm4py.algo.conformance.declare.algorithm.get_diagnostics_dataframe(log, conf_result, variant=Variants.CLASSIC, parameters=None) DataFrame[source]#
Gets the diagnostics dataframe from a log and the results of DECLARE-based conformance checking
Parameters#
- log
Event log
- conf_result
Results of conformance checking
- variant
Variant to be used: - Variants.CLASSIC
- parameters
Variant-specific parameters
Returns#
- diagn_dataframe
Diagnostics dataframe