pm4py.algo.conformance.antialignments.variants package#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

Submodules#

pm4py.algo.conformance.antialignments.variants.discounted_a_star module#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.conformance.antialignments.variants.discounted_a_star.Parameters(value)[source]#

Bases: Enum

An enumeration.

MARKING_LIMIT = 'marking_limit'#
EXPONENT = 'exponent'#
EPSILON = 'epsilon'#
pm4py.algo.conformance.antialignments.variants.discounted_a_star.apply(log, petri_net, ini, fin, parameters=None)[source]#

This function is a preliminary function for __search of the discounted algorihtm for AA. The function gets the parameters and launches the algorithm on the variants (all traces aren’t usefull for AA, see paper).

pm4py.algo.conformance.antialignments.variants.discounted_a_star.getPrecision(run, variants, epsilon)[source]#

Once we obtained an AA, we can get the precision of the process model. This is computed with the levenshtein edit distance.