pm4py.algo.conformance.footprints.util 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.conformance.footprints.util.evaluation 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.conformance.footprints.util.evaluation.Outputs(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- DFG = 'dfg'#
- SEQUENCE = 'sequence'#
- PARALLEL = 'parallel'#
- START_ACTIVITIES = 'start_activities'#
- END_ACTIVITIES = 'end_activities'#
- ACTIVITIES = 'activities'#
- SKIPPABLE = 'skippable'#
- ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'#
- MIN_TRACE_LENGTH = 'min_trace_length'#
- TRACE = 'trace'#
- pm4py.algo.conformance.footprints.util.evaluation.fp_fitness(fp_log, fp_model, conf_results, parameters=None)[source]#
Calculates the footprints fitness provided the footprints of the log, and the result of footprints conformance (applied to the entire log)
Parameters#
- fp_log
Footprints of the log
- fp_model
Footprints of the model
- conf_results
Footprints conformance (applied to the entire log)
- parameters
Parameters of the algorithm
Returns#
- fitness
Fitness value (between 0.0 and 1.0)
- pm4py.algo.conformance.footprints.util.evaluation.fp_precision(fp_log, fp_model, parameters=None)[source]#
Calculates the footprints based precision provided the two footprints of the log and the model.
Parameters#
- fp_log
Footprints of the log
- fp_model
Footprints of the model
- parameters
Parameters of the algorithm
Returns#
- precision
Precision value (between 0 and 1)
- pm4py.algo.conformance.footprints.util.evaluation.flatten_fp(fp: List[Dict[str, Any]]) Dict[str, Any][source]#
Flattens the trace-based footprints to the footprints of the overall log
Parameters#
- fp
Trace-based footprints
Returns#
- log_fp
Overall log footprints
- pm4py.algo.conformance.footprints.util.evaluation.flatten_conf(conf: List[Dict[str, Any]]) Dict[str, Any][source]#
Flattens the trace-based conformance checking results (obtained using footprints) to the conformance checking results on the overall log
Parameters#
- conf
Trace-based conformance checking results
Returns#
- log_conf
Overall log conformance checking results
pm4py.algo.conformance.footprints.util.tree_visualization 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.conformance.footprints.util.tree_visualization.Outputs(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- DFG = 'dfg'#
- SEQUENCE = 'sequence'#
- PARALLEL = 'parallel'#
- START_ACTIVITIES = 'start_activities'#
- END_ACTIVITIES = 'end_activities'#
- ACTIVITIES = 'activities'#
- SKIPPABLE = 'skippable'#
- ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'#
- MIN_TRACE_LENGTH = 'min_trace_length'#
- TRACE = 'trace'#
- pm4py.algo.conformance.footprints.util.tree_visualization.apply(tree, conf_results, parameters=None)[source]#
Projects conformance results on top of the process tree
Parameters#
- tree
Process tree
- conf_results
Conformance results (footprints on the entire log vs entire model)
- parameters
Parameters of the algorithm
Returns#
- color_map
Color map to be provided to the visualization