pm4py.algo.filtering.log.start_activities package#

PM4Py – A Process Mining Library for Python

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.start_activities.start_activities_filter module#

PM4Py – A Process Mining Library for Python

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.start_activities.start_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.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: 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: Filtered log