pm4py.algo.transformation.log_to_target 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/>.

Subpackages#

Submodules#

pm4py.algo.transformation.log_to_target.algorithm 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.transformation.log_to_target.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

NEXT_ACTIVITY = <module 'pm4py.algo.transformation.log_to_target.variants.next_activity' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\transformation\\log_to_target\\variants\\next_activity.py'>#
NEXT_TIME = <module 'pm4py.algo.transformation.log_to_target.variants.next_time' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\transformation\\log_to_target\\variants\\next_time.py'>#
REMAINING_TIME = <module 'pm4py.algo.transformation.log_to_target.variants.remaining_time' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\transformation\\log_to_target\\variants\\remaining_time.py'>#
pm4py.algo.transformation.log_to_target.algorithm.apply(log: Union[EventLog, EventStream, DataFrame], variant=None, parameters: Optional[Dict[Any, Any]] = None) Tuple[Any, List[str]][source]#

Extracts from the event log the target vector for a specific ML use case

Parameters#

log

Event log / Event stream / Pandas dataframe

variant

Specification of the target vector: - Variants.NEXT_ACTIVITY => encodes the next activity - Variants.NEXT_TIME => encodes the next timestamp - Variants.REMAINING_TIME => encodes the remaining time

Returns#

vector

Target vector for the specified ML use case

classes

Classes (for every column of the target vector)