pm4py.algo.discovery.transition_system package#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

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

Subpackages#

Submodules#

pm4py.algo.discovery.transition_system.algorithm module#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

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

class pm4py.algo.discovery.transition_system.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

VIEW_BASED = <module 'pm4py.algo.discovery.transition_system.variants.view_based' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\transition_system\\variants\\view_based.py'>#
pm4py.algo.discovery.transition_system.algorithm.apply(log: EventLog | EventStream | DataFrame, parameters: Dict[Any, Any] | None = None, variant=Variants.VIEW_BASED) TransitionSystem[source]#

Find transition system given log

Parameters#

log

Log

parameters
Possible parameters of the algorithm, including:

Parameters.PARAM_KEY_VIEW Parameters.PARAM_KEY_WINDOW Parameters.PARAM_KEY_DIRECTION

variant
Variant of the algorithm to use, including:

Variants.VIEW_BASED

Returns#

ts

Transition system