pm4py.objects.conversion.dfg.variants package¶
Submodules¶
pm4py.objects.conversion.dfg.variants.to_petri_net_activity_defines_place 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.objects.conversion.dfg.variants.to_petri_net_activity_defines_place.Parameters[source]¶ Bases:
enum.EnumAn enumeration.
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END_ACTIVITIES= 'end_activities'¶
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START_ACTIVITIES= 'start_activities'¶
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pm4py.objects.conversion.dfg.variants.to_petri_net_activity_defines_place.apply(dfg, parameters=None)[source]¶ Applies the DFG mining on a given object (if it is a Pandas dataframe or a log, the DFG is calculated)
Parameters: - dfg – Object (DFG) (if it is a Pandas dataframe or a log, the DFG is calculated)
- parameters – Parameters
pm4py.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates 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.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates.Parameters[source]¶ Bases:
enum.EnumAn enumeration.
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END_ACTIVITIES= 'end_activities'¶
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PARAM_ARTIFICIAL_END_ACTIVITY= 'pm4py:param:art_end_act'¶
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PARAM_ARTIFICIAL_START_ACTIVITY= 'pm4py:param:art_start_act'¶
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START_ACTIVITIES= 'start_activities'¶
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pm4py.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates.apply(dfg: Dict[Tuple[str, str], int], parameters: Optional[Dict[Any, Any]] = None)[source]¶ Applies the DFG mining on a given object (if it is a Pandas dataframe or a log, the DFG is calculated)
Parameters: - dfg – Object (DFG) (if it is a Pandas dataframe or a log, the DFG is calculated)
- parameters – Parameters: - Parameters.START_ACTIVITIES: the start activities of the DFG - Parameters.END_ACTIVITIES: the end activities of the DFG
Returns: - net – Petri net
- im – Initial marking
- fm – Final marking
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/>.