pm4py.algo.transformation.log_to_features package¶
Subpackages¶
Submodules¶
pm4py.algo.transformation.log_to_features.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/>.
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class
pm4py.algo.transformation.log_to_features.algorithm.Variants[source]¶ Bases:
enum.EnumAn enumeration.
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EVENT_BASED= <module 'pm4py.algo.transformation.log_to_features.variants.event_based' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/latest/pm4py/algo/transformation/log_to_features/variants/event_based.py'>¶
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TRACE_BASED= <module 'pm4py.algo.transformation.log_to_features.variants.trace_based' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/latest/pm4py/algo/transformation/log_to_features/variants/trace_based.py'>¶
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pm4py.algo.transformation.log_to_features.algorithm.apply(log: Union[pm4py.objects.log.obj.EventLog, pandas.core.frame.DataFrame, pm4py.objects.log.obj.EventStream], variant: Any = <Variants.TRACE_BASED: <module 'pm4py.algo.transformation.log_to_features.variants.trace_based' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/latest/pm4py/algo/transformation/log_to_features/variants/trace_based.py'>>, parameters: Optional[Dict[Any, Any]] = None) → Tuple[Any, List[str]][source]¶ Extracts the features from a log object
Parameters: log – Event log
variant – Variant of the feature extraction to use: - Variants.EVENT_BASED => (default) extracts, for each trace, a list of numerical vectors containing for each
event the corresponding features
- Variants.TRACE_BASED => extracts for each trace a single numerical vector containing the features
- of the trace
Returns: - data – Data to provide for decision tree learning
- feature_names – Names of the features, in order
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/>.