pm4py.algo.conformance.antialignments 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

• pm4py.algo.conformance.antialignments.variants package
  • Submodules
  • pm4py.algo.conformance.antialignments.variants.discounted_a_star module
    • Parameters
      • Parameters.MARKING_LIMIT
      • Parameters.EXPONENT
      • Parameters.EPSILON
    • apply()
    • getPrecision()

Submodules

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

Bases: Enum

VERSION_DISCOUNTED_A_STAR = <module 'pm4py.algo.conformance.antialignments.variants.discounted_a_star' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\antialignments\\variants\\discounted_a_star.py'>

class pm4py.algo.conformance.antialignments.algorithm.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

MARKING_LIMIT = 'marking_limit'

EXPONENT = 'exponent'

EPSILON = 'epsilon'

CASE_ID_KEY = 'pm4py:param:case_id_key'

ACTIVITY_KEY = 'pm4py:param:activity_key'

pm4py.algo.conformance.antialignments.algorithm.apply(log, petri_net, initial_marking, final_marking, parameters=None, variant=Variants.VERSION_DISCOUNTED_A_STAR)

pm4py.algo.conformance.antialignments.algorithm.apply_log(log, petri_net, initial_marking, final_marking, parameters=None, variant=Variants.VERSION_DISCOUNTED_A_STAR)

apply antialignments to a log Parameters ———– log

object of the form pm4py.log.log.EventLog event log

petri_net

pm4py.objects.petri.petrinet.PetriNet the model to use for the alignment

initial_marking

pm4py.objects.petri.petrinet.Marking initial marking of the net

final_marking

pm4py.objects.petri.petrinet.Marking final marking of the net

variant

selected variant of the algorithm

parameters

dict parameters of the algorithm,

Returns