pm4py.algo.discovery.footprints.log.variants.trace_by_trace module#
PM4Py – A Process Mining Library for Python
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- class pm4py.algo.discovery.footprints.log.variants.trace_by_trace.Outputs(*values)[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'#
- class pm4py.algo.discovery.footprints.log.variants.trace_by_trace.Parameters(*values)[source]#
Bases:
Enum- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- pm4py.algo.discovery.footprints.log.variants.trace_by_trace.apply(log, parameters: Dict[str | Parameters, Any] | None = None) Dict[str, Any][source]#
Discovers a footprint object from an event log (the footprints are returned case-by-case)
- Parameters:
log – Log
parameters –
- Parameters of the algorithm:
Parameters.ACTIVITY_KEY
- Returns:
List of footprints for the cases of the log
- Return type:
footprints_obj