pm4py.algo.transformation.ocel.features.events_objects 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.transformation.ocel.features.events_objects.algorithm 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.transformation.ocel.features.events_objects.algorithm.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

ENABLE_ALL_EO_FEATURES = 'enable_all_eo_features'#

ENABLE_EVENT_POINTWISE_FEATURES = 'enable_event_pointwise_features'#

ENABLE_PREFIX_FEATURES = 'enable_prefix_features'#

pm4py.algo.transformation.ocel.features.events_objects.algorithm.apply(ocel: OCEL, parameters: Dict[Any, Any] | None = None)[source]#

Extract features that are related to the different combinations of events and objects of the OCEL.

Parameters#

ocel

Object-centric event log

parameters

Parameters of the algorithm, including:

Parameters.ENABLE_ALL_EO_FEATURES => enables all the belowmentioned features
Parameters.ENABLE_EVENT_POINTWISE_FEATURES => enables the calculation of pointwise features for the events
Parameters.ENABLE_PREFIX_FEATURES => enables the prefix features

Returns#

data: Values of the features
feature_names: Names of the features

pm4py.algo.transformation.ocel.features.events_objects.prefix_features 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.transformation.ocel.features.events_objects.prefix_features.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

ENABLE_ALL_PREFIX_FEATURES = 'enable_all_prefix_features'#

ENABLE_PREFIX_LENGTH = 'enable_prefix_length'#

ENABLE_PREFIX_TIMEDIFF = 'enable_prefix_timediff'#

ENABLE_PREFIX_ONE_HOT_ENCODING = 'enable_prefix_1h_encoding'#

pm4py.algo.transformation.ocel.features.events_objects.prefix_features.apply(exploded_ocel: OCEL, parameters: Dict[Any, Any] | None = None)[source]#

Gets some features out of the exploded OCEL which are based on the prefix of the event (for the current object)

Parameters#

exploded_ocel

Exploded object-centric event log

parameters

Parameters of the algorithm, including:

Parameters.ENABLE_ALL_PREFIX_FEATURES => enables the calculation of all the belowmentioned features
Parameters.ENABLE_PREFIX_LENGTH => adds the prefix length as a feature
Parameters.ENABLE_PREFIX_TIMEDIFF => adds the difference between the current event timestamp and the
first event related to the current object.
Parameters.ENABLE_PREFIX_ONE_HOT_ENCODING => one-hot-encodes the activities of the prefix.

Returns#

data: Values of the features
feature_names: Names of the features