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

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/>.

class pm4py.algo.discovery.inductive.variants.im_clean.algorithm.Parameters

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'

NOISE_THRESHOLD = 'noise_threshold'

USE_MSD_PARALLEL_CUT = 'use_msd_par_cut'

pm4py.algo.discovery.inductive.variants.im_clean.algorithm.apply(event_log: Union[pandas.core.frame.DataFrame, pm4py.objects.log.obj.EventLog, pm4py.objects.log.obj.EventStream], parameters: Optional[Dict[Union[str, pm4py.algo.discovery.inductive.variants.im_clean.algorithm.Parameters], Any]] = None) → Tuple[pm4py.objects.petri_net.obj.PetriNet, pm4py.objects.petri_net.obj.Marking, pm4py.objects.petri_net.obj.Marking]

pm4py.algo.discovery.inductive.variants.im_clean.algorithm.apply_dfg(dfg: Dict[Tuple[str, str], int], start_activities: Dict[str, int], end_activities: Dict[str, int], activities: Dict[str, int], parameters=None)

pm4py.algo.discovery.inductive.variants.im_clean.algorithm.apply_tree(event_log: Union[pandas.core.frame.DataFrame, pm4py.objects.log.obj.EventLog, pm4py.objects.log.obj.EventStream], parameters: Optional[Dict[Union[str, pm4py.algo.discovery.inductive.variants.im_clean.algorithm.Parameters], Any]] = None) → pm4py.objects.process_tree.obj.ProcessTree

pm4py.algo.discovery.inductive.variants.im_clean.algorithm.apply_tree_dfg(dfg: Dict[Tuple[str, str], int], start_activities: Dict[str, int], end_activities: Dict[str, int], activities: Dict[str, int], parameters=None)

pm4py.algo.discovery.inductive.variants.im_clean.algorithm.apply_tree_variants(variants, parameters=None)

pm4py.algo.discovery.inductive.variants.im_clean.algorithm.apply_variants(variants, parameters=None)

pm4py.algo.discovery.inductive.variants.im_clean.d_types 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/>.

pm4py.algo.discovery.inductive.variants.im_clean.dfg_im 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/>.

class pm4py.algo.discovery.inductive.variants.im_clean.dfg_im.Parameters

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'

pm4py.algo.discovery.inductive.variants.im_clean.log_im 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/>.

class pm4py.algo.discovery.inductive.variants.im_clean.log_im.Parameters

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'

pm4py.algo.discovery.inductive.variants.im_clean.utils 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/>.

class pm4py.algo.discovery.inductive.variants.im_clean.utils.DfgSaEaActCount(dfg, sa, ea, act_count)

Bases: object

pm4py.algo.discovery.inductive.variants.im_clean.utils.transform_dfg_to_directed_nx_graph(dfg, alphabet)

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/>.