pm4py.algo.conformance.footprints.variants.trace_extensive module#
- class pm4py.algo.conformance.footprints.variants.trace_extensive.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.conformance.footprints.variants.trace_extensive.Parameters(*values)[source]#
Bases:
Enum- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- ENABLE_ACT_ALWAYS_EXECUTED = 'enable_act_always_executed'#
- class pm4py.algo.conformance.footprints.variants.trace_extensive.ConfOutputs(*values)[source]#
Bases:
Enum- FOOTPRINTS = 'footprints'#
- START_ACTIVITIES = 'start_activities'#
- END_ACTIVITIES = 'end_activities'#
- ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'#
- MIN_LENGTH_FIT = 'min_length_fit'#
- IS_FOOTPRINTS_FIT = 'is_footprints_fit'#
- pm4py.algo.conformance.footprints.variants.trace_extensive.apply(log_footprints: List[Dict[str, Any]], model_footprints: Dict[str, Any], parameters: Dict[str | Parameters, Any] | None = None) List[Dict[str, Any]][source]#
Apply footprints conformance between a log footprints object and a model footprints object
- Parameters:
log_footprints – Footprints of the log (trace-by-trace)
model_footprints – Footprints of the model
parameters – Parameters of the algorithm
- Returns:
List containing, for each trace, a dictionary containing the violations
- Return type:
violations
- pm4py.algo.conformance.footprints.variants.trace_extensive.get_diagnostics_dataframe(log: EventLog, conf_result: List[Dict[str, Any]], parameters: Dict[str | Parameters, Any] | None = None) DataFrame[source]#
Gets the diagnostics dataframe from the log and the results of footprints conformance checking (trace-by-trace)
- Parameters:
log – Event log
conf_result – Conformance checking results (trace-by-trace)
- Returns:
Diagnostics dataframe
- Return type:
diagn_dataframe