pm4py.algo.label_splitting 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.label_splitting.variants package
  • Submodules
  • pm4py.algo.label_splitting.variants.contextual module
    • Parameters
      • Parameters.ACTIVITY_KEY
      • Parameters.CASE_ID_KEY
      • Parameters.INDEX_KEY
      • Parameters.TARGET_COLUMN
      • Parameters.ACTIVITIES_SUFFIX
      • Parameters.TARGET_ACTIVITIES
      • Parameters.PREFIX_LENGTH
      • Parameters.SUFFIX_LENGTH
      • Parameters.MIN_EDGE_WEIGHT
    • apply()

Submodules

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

Bases: Enum

CONTEXTUAL = <module 'pm4py.algo.label_splitting.variants.contextual' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\label_splitting\\variants\\contextual.py'>

pm4py.algo.label_splitting.algorithm.apply(log: EventLog | EventStream | DataFrame, variant=Variants.CONTEXTUAL, parameters: Dict[Any, Any] | None = None) → DataFrame

Applies a technique of label-splitting, to distinguish between different meanings of the same activity. The result is a Pandas dataframe where the label-splitting has been applied.

Minimum Viable Example:

import pm4py from pm4py.algo.label_splitting import algorithm as label_splitter

log = pm4py.read_xes(“tests/input_data/receipt.xes”) log2 = label_splitter.apply(log)

Parameters

log

Event log

parameters

Variant-specific parameters

Returns

dataframe

Pandas dataframe with the re-labeling