pm4py.algo.discovery.dfg.variants.native module#

PM4Py – A Process Mining Library for Python

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class pm4py.algo.discovery.dfg.variants.native.Parameters(*values)[source]#

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'#
WINDOW = 'window'#
KEEP_ONCE_PER_CASE = 'keep_once_per_case'#
pm4py.algo.discovery.dfg.variants.native.apply(log: EventLog | EventStream, parameters: Dict[str | Parameters, Any] | None = None) → Dict[Tuple[str, str], int][source]#
pm4py.algo.discovery.dfg.variants.native.native(log: EventLog | EventStream, parameters: Dict[str | Parameters, Any] | None = None) → Dict[Tuple[str, str], int][source]#

Counts the number of directly follows occurrences, i.e. of the form <…a,b…>, in an event log.

Parameters:

  • log – Trace log

  • parameters –

    Possible parameters passed to the algorithms:

    activity_key -> Attribute to use as activity

Returns:

dfg – DFG graph

Return type:

dict