pm4py.algo.discovery.powl.inductive.variants.dynamic_clustering.dynamic_clustering_partial_order_cut module#

pm4py.algo.discovery.powl.inductive.variants.dynamic_clustering.dynamic_clustering_partial_order_cut.generate_order(clusters, efg)[source]#
class pm4py.algo.discovery.powl.inductive.variants.dynamic_clustering.dynamic_clustering_partial_order_cut.DynamicClusteringPartialOrderCut[source]#

Bases: Cut[T], ABC, Generic[T]

classmethod operator(parameters: Dict[str, Any] | None = None) → StrictPartialOrder[source]#
classmethod holds(obj: T, parameters: Dict[str, Any] | None = None) → BinaryRelation | None[source]#
classmethod apply(obj: T, parameters: Dict[str, Any] | None = None) → Tuple[StrictPartialOrder, List[POWL]] | None[source]#
class pm4py.algo.discovery.powl.inductive.variants.dynamic_clustering.dynamic_clustering_partial_order_cut.DynamicClusteringPartialOrderCutUVCL[source]#

Bases: DynamicClusteringPartialOrderCut[IMDataStructureUVCL]

classmethod project(obj: IMDataStructureUVCL, groups: List[Collection[Any]], parameters: Dict[str, Any] | None = None) → List[IMDataStructureUVCL][source]#

Projection of the given data object (Generic type T). Returns a corresponding process tree and the projected sub logs according to the identified groups. A precondition of the project function is that it holds on the object for the given Object