pm4py.algo.evaluation.precision.variants 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
Submodules#
pm4py.algo.evaluation.precision.variants.align_etconformance 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.evaluation.precision.variants.align_etconformance.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- TOKEN_REPLAY_VARIANT = 'token_replay_variant'#
- CLEANING_TOKEN_FLOOD = 'cleaning_token_flood'#
- SHOW_PROGRESS_BAR = 'show_progress_bar'#
- MULTIPROCESSING = 'multiprocessing'#
- CORES = 'cores'#
- pm4py.algo.evaluation.precision.variants.align_etconformance.apply(log: EventLog | EventStream | DataFrame, net: PetriNet, marking: Marking, final_marking: Marking, parameters: Dict[str | Parameters, Any] | None = None) float[source]#
Get Align-ET Conformance precision
Parameters#
- log
Trace log
- net
Petri net
- marking
Initial marking
- final_marking
Final marking
- parameters
- Parameters of the algorithm, including:
Parameters.ACTIVITY_KEY -> Activity key
- pm4py.algo.evaluation.precision.variants.align_etconformance.transform_markings_from_sync_to_original_net(markings0, net, parameters=None)[source]#
Transform the markings of the sync net (in which alignment stops) into markings of the original net (in order to measure the precision)
Parameters#
- markings0
Markings on the sync net (expressed as place name with count)
- net
Petri net
- parameters
Parameters of the algorithm
Returns#
- markings
Markings of the original model (expressed as place with count)
- pm4py.algo.evaluation.precision.variants.align_etconformance.align_fake_log_stop_marking(fake_log, net, marking, final_marking, parameters=None)[source]#
Align the ‘fake’ log with all the prefixes in order to get the markings in which the alignment stops
Parameters#
- fake_log
Fake log
- net
Petri net
- marking
Marking
- final_marking
Final marking
- parameters
Parameters of the algorithm
Returns#
- alignment
For each trace in the log, return the marking in which the alignment stops (expressed as place name with count)
- pm4py.algo.evaluation.precision.variants.align_etconformance.build_sync_net(trace, petri_net, initial_marking, final_marking, parameters=None)[source]#
Build the sync product net between the Petri net and the trace prefix
Parameters#
- trace
Trace prefix
- petri_net
Petri net
- initial_marking
Initial marking
- final_marking
Final marking
- parameters
Possible parameters of the algorithm
pm4py.algo.evaluation.precision.variants.etconformance_token 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.evaluation.precision.variants.etconformance_token.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- TOKEN_REPLAY_VARIANT = 'token_replay_variant'#
- CLEANING_TOKEN_FLOOD = 'cleaning_token_flood'#
- SHOW_PROGRESS_BAR = 'show_progress_bar'#
- MULTIPROCESSING = 'multiprocessing'#
- CORES = 'cores'#
- pm4py.algo.evaluation.precision.variants.etconformance_token.apply(log: EventLog, net: PetriNet, marking: Marking, final_marking: Marking, parameters: Dict[str | Parameters, Any] | None = None)[source]#
Get ET Conformance precision
Parameters#
- log
Trace log
- net
Petri net
- marking
Initial marking
- final_marking
Final marking
- parameters
- Parameters of the algorithm, including:
Parameters.ACTIVITY_KEY -> Activity key