pm4py.algo.discovery.inductive.variants package

Subpackages

• pm4py.algo.discovery.inductive.variants.im package
  • Subpackages
    • pm4py.algo.discovery.inductive.variants.im.data_structures package
      • Submodules
      • pm4py.algo.discovery.inductive.variants.im.data_structures.subtree_plain module
      • Module contents
    • pm4py.algo.discovery.inductive.variants.im.util package
      • Submodules
      • pm4py.algo.discovery.inductive.variants.im.util.base_case module
      • pm4py.algo.discovery.inductive.variants.im.util.constants module
      • pm4py.algo.discovery.inductive.variants.im.util.fall_through module
      • pm4py.algo.discovery.inductive.variants.im.util.get_tree_repr_implain module
      • pm4py.algo.discovery.inductive.variants.im.util.splitting module
      • Module contents
  • Submodules
  • pm4py.algo.discovery.inductive.variants.im.algorithm module
  • Module contents
• pm4py.algo.discovery.inductive.variants.im_clean package
  • Subpackages
    • pm4py.algo.discovery.inductive.variants.im_clean.cuts package
      • Submodules
      • pm4py.algo.discovery.inductive.variants.im_clean.cuts.concurrency module
      • pm4py.algo.discovery.inductive.variants.im_clean.cuts.loop module
      • pm4py.algo.discovery.inductive.variants.im_clean.cuts.sequence module
      • pm4py.algo.discovery.inductive.variants.im_clean.cuts.xor module
      • Module contents
    • pm4py.algo.discovery.inductive.variants.im_clean.fall_throughs package
      • Submodules
      • pm4py.algo.discovery.inductive.variants.im_clean.fall_throughs.activity_concurrent module
      • pm4py.algo.discovery.inductive.variants.im_clean.fall_throughs.activity_once_per_trace module
      • pm4py.algo.discovery.inductive.variants.im_clean.fall_throughs.strict_tau_loop module
      • pm4py.algo.discovery.inductive.variants.im_clean.fall_throughs.tau_loop module
      • Module contents
  • Submodules
  • pm4py.algo.discovery.inductive.variants.im_clean.algorithm module
  • pm4py.algo.discovery.inductive.variants.im_clean.d_types module
  • pm4py.algo.discovery.inductive.variants.im_clean.dfg_im module
  • pm4py.algo.discovery.inductive.variants.im_clean.log_im module
  • pm4py.algo.discovery.inductive.variants.im_clean.utils module
  • Module contents
• pm4py.algo.discovery.inductive.variants.im_d package
  • Subpackages
    • pm4py.algo.discovery.inductive.variants.im_d.data_structures package
      • Submodules
      • pm4py.algo.discovery.inductive.variants.im_d.data_structures.subtree module
      • Module contents
    • pm4py.algo.discovery.inductive.variants.im_d.util package
      • Submodules
      • pm4py.algo.discovery.inductive.variants.im_d.util.check_skip_trans module
      • pm4py.algo.discovery.inductive.variants.im_d.util.get_tree_repr_dfg_based module
      • Module contents
  • Submodules
  • pm4py.algo.discovery.inductive.variants.im_d.dfg_based module
  • Module contents
• pm4py.algo.discovery.inductive.variants.im_f package
  • Subpackages
    • pm4py.algo.discovery.inductive.variants.im_f.data_structures package
      • Submodules
      • pm4py.algo.discovery.inductive.variants.im_f.data_structures.subtree_infrequent module
      • Module contents
  • Submodules
  • pm4py.algo.discovery.inductive.variants.im_f.algorithm module
  • pm4py.algo.discovery.inductive.variants.im_f.fall_through_infrequent module
  • pm4py.algo.discovery.inductive.variants.im_f.splitting_infrequent module
  • Module contents

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/>.