'''
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/>.
'''
from pm4py.objects.ocel.obj import OCEL
from typing import Optional, Dict, Any
[docs]def apply(ocel: OCEL, parameters: Optional[Dict[Any, Any]] = None):
"""
One-hot encode the activities of an OCEL, assigning to each event its own activity as feature
Parameters
----------------
ocel
OCEL
parameters
Parameters of the algorithm
Returns
----------------
data
Extracted feature values
feature_names
Feature names
"""
if parameters is None:
parameters = {}
ordered_events = list(ocel.events[ocel.event_id_column])
activities = list(ocel.events[ocel.event_activity].unique())
data = []
feature_names = ["@@event_act_"+act for act in activities]
events_activities = ocel.events[[ocel.event_id_column, ocel.event_activity]].to_dict("records")
events_activities = {x[ocel.event_id_column]: x[ocel.event_activity] for x in events_activities}
for ev in ordered_events:
data.append([0] * len(activities))
data[-1][activities.index(events_activities[ev])] = 1
return data, feature_names