pm4py.algo.discovery.footprints.dfg.variants package#

PM4Py – A Process Mining Library for Python

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.discovery.footprints.dfg.variants.dfg module#

PM4Py – A Process Mining Library for Python

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.discovery.footprints.dfg.variants.dfg.Outputs(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

DFG = 'dfg'#

SEQUENCE = 'sequence'#

PARALLEL = 'parallel'#

START_ACTIVITIES = 'start_activities'#

END_ACTIVITIES = 'end_activities'#

ACTIVITIES = 'activities'#

SKIPPABLE = 'skippable'#

ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'#

MIN_TRACE_LENGTH = 'min_trace_length'#

TRACE = 'trace'#

pm4py.algo.discovery.footprints.dfg.variants.dfg.apply(dfg: Dict[Tuple[str, str], int], parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Discovers a footprint object from a DFG

Parameters#

dfg: DFG
parameters: Parameters of the algorithm

Returns#

footprints_obj: Footprints object