pm4py.visualization.decisiontree.variants package#

PM4Py – A Process Mining Library for Python

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

Submodules#

pm4py.visualization.decisiontree.variants.classic module#

PM4Py – A Process Mining Library for Python

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.variants.classic.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

FORMAT = 'format'#

pm4py.visualization.decisiontree.variants.classic.apply(clf: DecisionTreeClassifier, feature_names: List[str], classes: List[str], parameters: Dict[str | Parameters, Any] | None = None) → Source[source]#

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 …)

Returns#

gviz: GraphViz object