pm4py.objects.oc_causal_net.utils.filters module#

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pm4py.objects.oc_causal_net.utils.filters.filter4(input_marker_groups, output_marker_groups, threshold, activity_count)[source]#

Filters input_marker_groups and output_marker_groups by relative support, then recursively keeps only those MarkerGroups that remain connected.

Parameters:

  • input_marker_groups (Dict[str, List[OCCausalNet.MarkerGroup]]) – Input marker groups of the activities

  • output_marker_groups (Dict[str, List[OCCausalNet.MarkerGroup]]) – Output marker groups of the activities

  • threshold (float) – Minimum relative support = support_count / activity_count[activity]

  • activity_count (Dict[str,int]) – Absolute frequency of each activity in the event log.

Returns:

  • Tuple[ – Dict[str, List[OCCausalNet.MarkerGroup]], Dict[str, List[OCCausalNet.MarkerGroup]]

  • ] – (filtered_input_marker_groups, filtered_output_marker_groups)