pm4py.algo.concept_drift 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.concept_drift.variants package
  • Submodules
  • pm4py.algo.concept_drift.variants.bose module
    • Parameters
      • Parameters.SUB_LOG_SIZE
      • Parameters.WINDOW_SIZE
      • Parameters.NUM_PERMUTATIONS
      • Parameters.THRESH_P_VALUE
      • Parameters.MAX_NO_CHANGE_POINTS
      • Parameters.ACTIVITY_KEY
      • Parameters.TIMESTAMP_KEY
      • Parameters.CASE_ID_KEY
    • apply()
    • extract_unique_activities()
    • split_into_sub_logs()
    • compute_follows_relation()
    • extract_global_features()
    • permutation_test()
    • detect_concept_drift()

Submodules

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

Bases: Enum

BOSE = <module 'pm4py.algo.concept_drift.variants.bose' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\concept_drift\\variants\\bose.py'>

pm4py.algo.concept_drift.algorithm.apply(log: EventLog | DataFrame, variant=Variants.BOSE, parameters: Dict[Any, Any] | None = None) → Tuple[List[DataFrame], List[int], List[float]]

Parameters

log

Event log or Pandas dataframe

variant

Variant of the algorithm (available: Variants.BOSE)

parameters

Variant-specific parameters

Returns

returned_sublogsList[EventLog]

A list of sub-logs, where each sub-log is an EventLog object representing the cumulative segment of the original event log from the start up to each detected change point (and the final sub-log up to the end). Note: Due to a potential implementation issue, these sub-logs are not segments between change points but rather cumulative logs up to each change point.

change_timestampsList[float]

A list of timestamps where concept drifts are detected. Each timestamp corresponds to the start time of the first trace in the sub-log where a change point occurs, based on case start timestamps.

p_valuesList[float]

A list of p-values associated with each detected change point, indicating the statistical significance of the drift (lower values suggest stronger evidence of a change).