pm4py.streaming.algo.conformance.temporal 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.streaming.algo.conformance.temporal.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.streaming.algo.conformance.temporal.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum
- CLASSIC = <module 'pm4py.streaming.algo.conformance.temporal.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\streaming\\algo\\conformance\\temporal\\variants\\classic.py'>#
- pm4py.streaming.algo.conformance.temporal.algorithm.apply(temporal_profile: Dict[Tuple[str, str], Tuple[float, float]], variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None)[source]#
Initialize the streaming conformance checking
Parameters#
- temporal_profile
Temporal profile
- variant
Variant of the algorithm, possible values: - Variants.CLASSIC
- parameters
- Parameters of the algorithm, including:
Parameters.ACTIVITY_KEY => the attribute to use as activity
Parameters.START_TIMESTAMP_KEY => the attribute to use as start timestamp
Parameters.TIMESTAMP_KEY => the attribute to use as timestamp
Parameters.ZETA => multiplier for the standard deviation
Parameters.CASE_ID_KEY => column to use as case identifier
Parameters.DICT_VARIANT => the variant of dictionary to use
Parameters.CASE_DICT_ID => the identifier of the case dictionary
Parameters.DEV_DICT_ID => the identifier of the deviations dictionary