pm4py.algo.discovery.minimum_self_distance package

Submodules

pm4py.algo.discovery.minimum_self_distance.algorithm module

class pm4py.algo.discovery.minimum_self_distance.algorithm.Variants(value)[source]

Bases: enum.Enum

An enumeration.

LOG = <module 'pm4py.algo.discovery.minimum_self_distance.variants.log' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\discovery\\minimum_self_distance\\variants\\log.py'>
PANDAS = <module 'pm4py.algo.discovery.minimum_self_distance.variants.pandas' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\discovery\\minimum_self_distance\\variants\\pandas.py'>
pm4py.algo.discovery.minimum_self_distance.algorithm.apply(log_obj: Union[pm4py.objects.log.obj.EventLog, pandas.core.frame.DataFrame, pm4py.objects.log.obj.EventStream], variant: Optional[str] = None, parameters: Optional[Dict[str, Any]] = None)[source]

pm4py.algo.discovery.minimum_self_distance.utils module

class pm4py.algo.discovery.minimum_self_distance.utils.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
pm4py.algo.discovery.minimum_self_distance.utils.derive_msd_witnesses(log: pm4py.objects.log.obj.EventLog, msd: Optional[Dict[str, int]] = None, parameters: Optional[Dict[str, Any]] = None) → Dict[str, Set[str]][source]

This function derives the minimum self distance witnesses. The self distance of a in <a> is infinity, of a in <a,a> is 0, in <a,b,a> is 1, etc. The minimum self distance is the minimal observed self distance value in the event log. A ‘witness’ is an activity that witnesses the minimum self distance. For example, if the minimum self distance of activity a in some log L is 2, then, if trace <a,b,c,a> is in log L, b and c are a witness of a.

Parameters
  • log – Event Log to use

  • msd – Optional minimum self distance dictionary

  • parameters – Optional parameters dictionary

Returns

Return type

Dictionary mapping each activity to a set of witnesses.

Module contents