pm4py.streaming.algo.conformance.temporal.variants package¶
Submodules¶
pm4py.streaming.algo.conformance.temporal.variants.classic 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/>.
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class
pm4py.streaming.algo.conformance.temporal.variants.classic.Parameters[source]¶ Bases:
enum.EnumAn enumeration.
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ACTIVITY_KEY= 'pm4py:param:activity_key'¶
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CASE_DICT_ID= 'case_dict_id'¶
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CASE_ID_KEY= 'pm4py:param:case_id_key'¶
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DEV_DICT_ID= 'dev_dict_id'¶
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DICT_ID= 'dict_id'¶
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DICT_VARIANT= 'dict_variant'¶
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START_TIMESTAMP_KEY= 'pm4py:param:start_timestamp_key'¶
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TIMESTAMP_KEY= 'pm4py:param:timestamp_key'¶
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ZETA= 'zeta'¶
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class
pm4py.streaming.algo.conformance.temporal.variants.classic.TemporalProfileStreamingConformance(temporal_profile: Dict[Tuple[str, str], Tuple[float, float]], parameters: Optional[Dict[Any, Any]] = None)[source]¶ Bases:
pm4py.streaming.algo.interface.StreamingAlgorithm-
check_conformance(event: Tuple[str, float, float, str])[source]¶ Checks the conformance according to the temporal profile
Parameters: event – Event
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pm4py.streaming.algo.conformance.temporal.variants.classic.apply(temporal_profile: Dict[Tuple[str, str], Tuple[float, float]], parameters: Optional[Dict[Any, Any]] = None)[source]¶ Initialize the streaming conformance checking.
Implements the approach described in: Stertz, Florian, Jürgen Mangler, and Stefanie Rinderle-Ma. “Temporal Conformance Checking at Runtime based on Time-infused Process Models.” arXiv preprint arXiv:2008.07262 (2020).
Parameters: temporal_profile – Temporal profile
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
Module contents¶
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/>.