pm4py.algo.filtering.log.end_activities package#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
Submodules#
pm4py.algo.filtering.log.end_activities.end_activities_filter module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
- class pm4py.algo.filtering.log.end_activities.end_activities_filter.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum
- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- DECREASING_FACTOR = 'decreasingFactor'#
- POSITIVE = 'positive'#
- pm4py.algo.filtering.log.end_activities.end_activities_filter.apply(log: EventLog, admitted_end_activities: List[str], parameters: Dict[str | Parameters, Any] | None = None) EventLog [source]#
Filter the log on the specified end activities
Parameters#
- log
Log
- admitted_end_activities
Admitted end activities
- parameters
Algorithm parameters
Returns#
- filtered_log
Filtered log
- pm4py.algo.filtering.log.end_activities.end_activities_filter.filter_log_by_end_activities(end_activities, variants, vc, threshold, activity_key='concept:name')[source]#
Keep only variants of the log with an end activity which number of occurrences is above the threshold
Parameters#
- end_activities
Dictionary of end 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 end 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
Filtered log