pm4py.algo.discovery.inductive.variants.im_f.data_structures package
Submodules
pm4py.algo.discovery.inductive.variants.im_f.data_structures.subtree_infrequent 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_f.data_structures.subtree_infrequent.Parameters(value)[source]
Bases:
enum.Enum
An enumeration.
- ACTIVITY_KEY = 'pm4py:param:activity_key'
- CASE_ID_KEY = 'pm4py:param:case_id_key'
- CONCURRENT_KEY = 'concurrent'
- EMPTY_TRACE_KEY = 'empty_trace'
- NOISE_THRESHOLD = 'noiseThreshold'
- ONCE_PER_TRACE_KEY = 'once_per_trace'
- START_TIMESTAMP_KEY = 'pm4py:param:start_timestamp_key'
- STRICT_TAU_LOOP_KEY = 'strict_tau_loop'
- TAU_LOOP_KEY = 'tau_loop'
- TIMESTAMP_KEY = 'pm4py:param:timestamp_key'
- class pm4py.algo.discovery.inductive.variants.im_f.data_structures.subtree_infrequent.SubtreeInfrequent(log, dfg, master_dfg, initial_dfg, activities, counts, rec_depth, f=0, noise_threshold=0, start_activities=None, end_activities=None, initial_start_activities=None, initial_end_activities=None, parameters=None, real_init=True)[source]
Bases:
object
- detect_xor(conn_components)[source]
Detects concurrent cut :Parameters: * conn_components – Connected components
this_nx_graph – NX graph calculated on the DFG
strongly_connected_components – Strongly connected components
- initialize_tree(dfg, log, initial_dfg, activities, second_iteration=False, end_call=True)[source]
Initialize the tree
- Parameters
dfg – Directly follows graph of this subtree
log – the event log
initial_dfg – Referral directly follows graph that should be taken in account adding hidden/loop transitions
activities – Activities of this subtree
second_iteration – Boolean that indicates if we are executing this method for the second time
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/>.