pm4py.algo.querying.llm.injection.pm_knowledge.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.querying.llm.injection.pm_knowledge.variants.ocel20 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
- pm4py.algo.querying.llm.injection.pm_knowledge.variants.ocel20.apply(ocel: OCEL, parameters: Dict[Any, Any] | None = None) str[source]#
Provides a string containing the required process mining domain knowledge for object-centric process mining structures (in order for the LLM to produce meaningful queries).
Parameters#
- ocel
OCEL (2.0) object
- parameters
Optional parameters of the method
Returns#
- pm_knowledge
String containing the required process mining knowledge
pm4py.algo.querying.llm.injection.pm_knowledge.variants.traditional 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
- pm4py.algo.querying.llm.injection.pm_knowledge.variants.traditional.apply(db: DataFrame | Connection, parameters: Dict[Any, Any] | None = None) str[source]#
Provides a string containing the required process mining domain knowledge for traditional process mining structures (in order for the LLM to produce meaningful queries).
Parameters#
- db
Database
- parameters
Optional parameters of the method
Returns#
- pm_knowledge
String containing the required process mining knowledge