pm4py.algo.discovery.log_skeleton.algorithm module#

class pm4py.algo.discovery.log_skeleton.algorithm.Variants(*values)[source]#

Bases: Enum

CLASSIC = <module 'pm4py.algo.discovery.log_skeleton.variants.classic' from '/Users/chris/Desktop/PIS/pm4py2/pm4py/pm4py/algo/discovery/log_skeleton/variants/classic.py'>#
pm4py.algo.discovery.log_skeleton.algorithm.apply(log: EventLog | EventStream | DataFrame, variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Discover a log skeleton from an event log

Parameters:

  • log – Event log

  • variant – Variant of the algorithm, possible values: - Variants.CLASSIC

  • parameters –

    Parameters of the algorithm, including:

    • the activity key (Parameters.ACTIVITY_KEY)

    • the noise threshold (Parameters.NOISE_THRESHOLD)

Returns:

Log skeleton model

Return type:

model

pm4py.algo.discovery.log_skeleton.algorithm.apply_from_variants_list(var_list: List[Tuple[str, int]], variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Discovers the log skeleton from the variants list

Parameters:

  • var_list – Variants list

  • variant – Variant of the algorithm, possible values: - Variants.CLASSIC

  • parameters – Parameters

Returns:

Log skeleton model

Return type:

model