pm4py.algo.conformance.alignments.decomposed 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.conformance.alignments.decomposed.variants package
  • Submodules
  • pm4py.algo.conformance.alignments.decomposed.variants.recompos_maximal module
    • Parameters
      • Parameters.ACTIVITY_KEY
      • Parameters.BEST_WORST_COST
      • Parameters.PARAM_TRACE_COST_FUNCTION
      • Parameters.ICACHE
      • Parameters.MCACHE
      • Parameters.PARAM_THRESHOLD_BORDER_AGREEMENT
      • Parameters.PARAMETER_VARIANT_DELIMITER
      • Parameters.PARAM_MODEL_COST_FUNCTION
      • Parameters.PARAM_SYNC_COST_FUNCTION
      • Parameters.PARAM_TRACE_NET_COSTS
      • Parameters.PARAM_MAX_ALIGN_TIME
      • Parameters.PARAM_MAX_ALIGN_TIME_TRACE
      • Parameters.SHOW_PROGRESS_BAR
    • get_best_worst_cost()
    • apply_from_variants_list_petri_string()
    • apply_from_variants_list()
    • apply()
    • apply_log()
    • get_acache()
    • get_alres()
    • order_nodes_second_round()
    • recompose_alignment()
    • apply_trace()
    • align()

Submodules

pm4py.algo.conformance.alignments.decomposed.algorithm 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

class pm4py.algo.conformance.alignments.decomposed.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

RECOMPOS_MAXIMAL = <module 'pm4py.algo.conformance.alignments.decomposed.variants.recompos_maximal' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\alignments\\decomposed\\variants\\recompos_maximal.py'>

pm4py.algo.conformance.alignments.decomposed.algorithm.apply(log: EventLog | DataFrame, net: PetriNet, im: Marking, fm: Marking, variant=Variants.RECOMPOS_MAXIMAL, parameters: Dict[Any, Any] | None = None) → List[Dict[str, Any]]

Apply the recomposition alignment approach to a log and a Petri net performing decomposition

Parameters

log

Event log

net

Petri net

im

Initial marking

fm

Final marking

variant

Variant of the algorithm, possible values:

• Variants.RECOMPOS_MAXIMAL

parameters

Parameters of the algorithm

Returns

aligned_traces

For each trace, return its alignment