pm4py.algo.discovery 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
Subpackages#
- pm4py.algo.discovery.alpha package
- pm4py.algo.discovery.batches package
- pm4py.algo.discovery.causal package
- pm4py.algo.discovery.correlation_mining package
- pm4py.algo.discovery.declare package
- pm4py.algo.discovery.dfg package
- Subpackages
- pm4py.algo.discovery.dfg.adapters package
- pm4py.algo.discovery.dfg.utils package
- pm4py.algo.discovery.dfg.variants package
- Submodules
- pm4py.algo.discovery.dfg.variants.case_attributes module
- pm4py.algo.discovery.dfg.variants.clean module
- pm4py.algo.discovery.dfg.variants.clean_polars module
- pm4py.algo.discovery.dfg.variants.clean_time module
- pm4py.algo.discovery.dfg.variants.freq_triples module
- pm4py.algo.discovery.dfg.variants.native module
- pm4py.algo.discovery.dfg.variants.performance module
- Submodules
- pm4py.algo.discovery.dfg.algorithm module
- pm4py.algo.discovery.dfg.replacement module
- Subpackages
- pm4py.algo.discovery.footprints package
- pm4py.algo.discovery.heuristics package
- pm4py.algo.discovery.ilp package
- pm4py.algo.discovery.inductive package
- Subpackages
- pm4py.algo.discovery.inductive.base_case package
- pm4py.algo.discovery.inductive.cuts package
- Submodules
- pm4py.algo.discovery.inductive.cuts.abc module
- pm4py.algo.discovery.inductive.cuts.concurrency module
- pm4py.algo.discovery.inductive.cuts.factory module
- pm4py.algo.discovery.inductive.cuts.loop module
- pm4py.algo.discovery.inductive.cuts.sequence module
- pm4py.algo.discovery.inductive.cuts.utils module
- pm4py.algo.discovery.inductive.cuts.xor module
- pm4py.algo.discovery.inductive.dtypes package
- pm4py.algo.discovery.inductive.fall_through package
- Submodules
- pm4py.algo.discovery.inductive.fall_through.abc module
- pm4py.algo.discovery.inductive.fall_through.activity_concurrent module
- pm4py.algo.discovery.inductive.fall_through.activity_once_per_trace module
- pm4py.algo.discovery.inductive.fall_through.empty_traces module
- pm4py.algo.discovery.inductive.fall_through.factory module
- pm4py.algo.discovery.inductive.fall_through.flower module
- pm4py.algo.discovery.inductive.fall_through.strict_tau_loop module
- pm4py.algo.discovery.inductive.fall_through.tau_loop module
- pm4py.algo.discovery.inductive.variants package
- Submodules
- pm4py.algo.discovery.inductive.algorithm module
- Subpackages
- pm4py.algo.discovery.log_skeleton package
- pm4py.algo.discovery.minimum_self_distance package
- pm4py.algo.discovery.ocel package
- pm4py.algo.discovery.performance_spectrum package
- pm4py.algo.discovery.powl package
- pm4py.algo.discovery.temporal_profile package
- pm4py.algo.discovery.transition_system package