pm4py.algo.discovery.ilp 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/>.

Subpackages#

Submodules#

pm4py.algo.discovery.ilp.algorithm 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.discovery.ilp.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.discovery.ilp.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\ilp\\variants\\classic.py'>#
pm4py.algo.discovery.ilp.algorithm.apply(log: Union[EventLog, EventStream, DataFrame], variant=Variants.CLASSIC, parameters: Optional[Dict[Any, Any]] = None) Tuple[PetriNet, Marking, Marking][source]#

Discovers a Petri net using the ILP miner.

Parameters#

log

Event log / Event stream / Pandas dataframe

variant

Variant of the algorithm to be used, possible values: - Variants.CLASSIC

parameters

Variant-specific parameters

Returns#

net

Petri net

im

Initial marking

fm

Final marking