Impress your boss with interactive Decision Tree Visualization

What it does

Visualize decision trees interactively in Jupyter, JupyterLab, and Google Colab. Zoom, pan, collapse nodes, and trace sample paths - all inside your notebook. pip install supertree Quick Start Visualize Decision Tree classifier on iris data from sklearn . tree import DecisionTreeClassifier from sklearn . datasets import load_iris from supertree import SuperTree # Load the iris dataset iris = load_iris () # Train model model = DecisionTreeClassifier ( max_depth = 3 ) model . fit ( iris . data , iris . target ) # Initialize supertree super_tree = SuperTree ( model , iris . data , iris . target , iris . feature_names , iris . target_names ) # show tree in your notebook super_tree . show_tree…from github.com

• SI
  Supertree – interactive visualization of decision trees in Python2024 · ▲70

  Hi All, I would like to share with you a new Python package for interactive decision tree visualization. It is called `supertree`. It visualizes decision tree as interactive graph, where you can collapse and expand selected nodes. You can zoom and pan though large trees. It works with Scikit-learn, Xgboost, and LightGBM. The package works in notebooks: Jupyter Lab, Jupyter Notebook, Google Colab. You can also use it in Python scripts and save output trees to HTML. The package is available on pip: `pip install supertree`. You can find code examples on the GitHub:…

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