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  • pm4py.algo.discovery.ocel.link_analysis package
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    • pm4py.algo.discovery.ocel.link_analysis.algorithm module
    • Module contents
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pm4py.algo.discovery.ocel.link_analysis package¶

Subpackages¶

  • pm4py.algo.discovery.ocel.link_analysis.variants package
    • Submodules
    • pm4py.algo.discovery.ocel.link_analysis.variants.classic module
    • Module contents

Submodules¶

pm4py.algo.discovery.ocel.link_analysis.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.ocel.link_analysis.algorithm.Variants[source]¶

Bases: enum.Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.discovery.ocel.link_analysis.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/stable/pm4py/algo/discovery/ocel/link_analysis/variants/classic.py'>¶
pm4py.algo.discovery.ocel.link_analysis.algorithm.apply(log: Union[pm4py.objects.log.obj.EventLog, pm4py.objects.log.obj.EventStream, pandas.core.frame.DataFrame], variant=<Variants.CLASSIC: <module 'pm4py.algo.discovery.ocel.link_analysis.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/stable/pm4py/algo/discovery/ocel/link_analysis/variants/classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → pandas.core.frame.DataFrame[source]¶

Applies a link analysis algorithm on the provided log object.

Parameters:
  • log – Event log
  • variant – Variant of the algorithm to consider
  • parameters – Variant-specific parameters
Returns:

Link analysis dataframe

Return type:

link_analysis_dataframe

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/>.


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