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: object

Simple 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.

generate_log()[source]#

Generate an EventLog with self.n_traces traces.

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