pm4py.visualization.decisiontree 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#
Submodules#
pm4py.visualization.decisiontree.visualizer 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.visualization.decisiontree.visualizer.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- CLASSIC = <module 'pm4py.visualization.decisiontree.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\decisiontree\\variants\\classic.py'>#
- pm4py.visualization.decisiontree.visualizer.apply(clf: DecisionTreeClassifier, feature_names: List[str], classes: List[str], parameters: Dict[Any, Any] | None = None, variant=Variants.CLASSIC) Source[source]#
Method to apply the visualization of the decision tree
Parameters#
- clf
Decision tree
- feature_names
Names of the provided features
- classes
Names of the target classes
- parameters
- Possible parameters of the algorithm, including:
Parameters.FORMAT -> Image format (pdf, svg, png …)
- variant
- Variant of the algorithm:
Variants.CLASSIC
Returns#
- gviz
GraphViz object
- pm4py.visualization.decisiontree.visualizer.save(gviz: Source, output_file_path: str, parameters=None)[source]#
Save the diagram
Parameters#
- gviz
GraphViz diagram
- output_file_path
Path where the GraphViz output should be saved