Source code for pm4py.algo.transformation.ocel.features.objects.objects_interaction_graph_ot

'''
    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
from pm4py.algo.transformation.ocel.graphs import object_interaction_graph


[docs]def apply(ocel: OCEL, parameters: Optional[Dict[Any, Any]] = None): """ Adds for each object, and each object type, the number of interacting objects as a feature. Parameters ----------------- ocel OCEL parameters Parameters of the algorithm Returns ----------------- data Values of the added features feature_names Names of the added features """ if parameters is None: parameters = {} ordered_objects = list(ocel.objects[ocel.object_id_column]) object_types = list(ocel.objects[ocel.object_type_column].unique()) object_type_association = ocel.objects[[ocel.object_id_column, ocel.object_type_column]].to_dict("records") object_type_association = {x[ocel.object_id_column]: x[ocel.object_type_column] for x in object_type_association} g0 = object_interaction_graph.apply(ocel, parameters=parameters) conn = {} for obj in ordered_objects: conn[obj] = set() for el in g0: conn[el[0]].add(el[1]) conn[el[1]].add(el[0]) data = [] feature_names = ["@@object_interaction_graph_"+ot for ot in object_types] for obj in ordered_objects: data.append([]) for ot in object_types: cot = [x for x in conn[obj] if object_type_association[x] == ot] data[-1].append(len(cot)) return data, feature_names