A python library for decision tree visualization and model interpretation. Decision trees are the fundamental building block of [gradient boosting machines](http://explained.ai/gradient-boosting/index.html) and [Random Forests](https://en.wikipedia.org/wiki/Random_forest)(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. The visualizations are inspired by an educational animation by [R2D3](http://www.r2d3.us/); [A visual introduction to machine learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/). Please see [How to visualize decision trees](http://explained.ai/decision-tree-viz/index.html) for deeper discussion of our decision tree visualization library and the visual design decisions we made.
Currently dtreeviz supports: [scikit-learn](https://scikit-learn.org/stable), [XGBoost](https://xgboost.readthedocs.io/en/latest), [Spark MLlib](https://spark.apache.org/mllib/), [LightGBM](https://lightgbm.readthedocs.io/en/latest/), and [Tensorflow](https://www.tensorflow.org/decision_forests). See [Installation instructions](README.md#Installation).
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Release files for dtreeviz 2.3.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| dtreeviz-2.3.2.tar.gz | 88.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dtreeviz-2.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 190.3 kB
Release files / dtreeviz-2.3.2.tar.gz
| Download URL | dtreeviz-2.3.2.tar.gz |
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| Size | 88.0 kB |
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Release files / dtreeviz-2.3.2-py3-none-any.whl
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|---|---|
| Size | 102.3 kB |
| Tags | Python 3 |
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