pm4py.algo.filtering.log.start_activities.start_activities_filter module#

class pm4py.algo.filtering.log.start_activities.start_activities_filter.Parameters(*values)[source]#

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'#
DECREASING_FACTOR = 'decreasingFactor'#
POSITIVE = 'positive'#
pm4py.algo.filtering.log.start_activities.start_activities_filter.apply(log: EventLog, admitted_start_activities: List[str], parameters: Dict[str | Parameters, Any] | None = None) → EventLog[source]#

Filter the log on the specified start activities

Parameters:

  • log – log

  • admitted_start_activities – Admitted start activities

  • parameters – Algorithm parameters

Returns:

Filtered log

Return type:

filtered_log

pm4py.algo.filtering.log.start_activities.start_activities_filter.filter_log_by_start_activities(start_activities, variants, vc, threshold, activity_key='concept:name')[source]#

Keep only variants of the log with a start activity which number of occurrences is above the threshold

Parameters:

  • start_activities – Dictionary of start attributes associated with their count

  • variants – (If specified) Dictionary with variant as the key and the list of traces as the value

  • vc – List of variant names along with their count

  • threshold – Cutting threshold (remove variants having start attributes which number of occurrences is below the threshold

  • activity_key – (If specified) Specify the activity key in the log (default concept:name)

Returns:

Filtered log

Return type:

filtered_log