pm4py.algo.simulation.playout.declare.variants 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
Submodules#
pm4py.algo.simulation.playout.declare.variants.classic 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.simulation.playout.declare.variants.classic.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- N_TRACES = 'n_traces'#
- MIN_LENGTH = 'min_length'#
- MAX_LENGTH = 'max_length'#
- class pm4py.algo.simulation.playout.declare.variants.classic.DeclarePlayout(declare_model, parameters=None)[source]#
Bases:
objectSimple random playout generator for DECLARE models. It reuses the same constraint-to-automaton mappings but in a generation mode instead of a conformance-checking mode.
- pm4py.algo.simulation.playout.declare.variants.classic.apply(declare_model, parameters=None) EventLog[source]#
Produce a playout EventLog of a given DECLARE model. Optional parameters:
n_traces (int): number of traces to generate. Default = 1000
min_length (int): minimal length of each trace. Default = 3
max_length (int): maximal length of each trace. Default = 15