pm4py.algo.filtering.log.end_activities package#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

Submodules#

pm4py.algo.filtering.log.end_activities.end_activities_filter module#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.filtering.log.end_activities.end_activities_filter.Parameters(value)[source]#

Bases: Enum

An enumeration.

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: Optional[Dict[Union[str, Parameters], Any]] = 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