pm4py.objects.oc_causal_net.obj module#
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- class pm4py.objects.oc_causal_net.obj.OCCausalNet(dependency_graph: MultiDiGraph, output_marker_groups: Dict[str, List[MarkerGroup]], input_marker_groups: Dict[str, List[MarkerGroup]], activity_count: Dict[str, int] = None, relative_occurrence_threshold: float = 0)[source]#
Bases:
objectObject-Centric Causal Net capturing dependency graph and marker groups.
- class Marker(related_activity, object_type, count_range: Tuple, marker_key: int)[source]#
Bases:
objectRepresents a single marker in an object-centric causal net.
- property object_type#
- property count_range#
- property min_count#
- property max_count#
- property marker_key#
- class MarkerGroup(markers: List[Marker], support_count: int = inf)[source]#
Bases:
objectRepresents a group of markers. A group of markers semantically represents the AND gate of all markers in the group.
- property dict_representation[source]#
Returns a dictionary representation of the marker group for efficient checking if the marker group can be bound with a given set of objects per related activity and object type. Is only computed once and cached. Is invalid if the marker group is changed after initialization. Assumes that the marker group is valid, i.e., there is at most one marker per related activity and object type.
- property key_constraints[source]#
Returns all tuples (related_activity, object_type, related_activity_2) that cannot share objects due to having the same key. Is only computed once and cached. Is invalid if the marker group is changed after initialization.
- property markers#
- property support_count#
- property dependency_graph#
- property activities#
- property edges#
- property input_marker_groups#
- property output_marker_groups#
- property object_types#
- property activity_count#
- property relative_occurrence_threshold#