From 511bb22ffd997e892052e1796e6b4941f4d655de Mon Sep 17 00:00:00 2001 From: Philip Hyunsu Cho Date: Thu, 13 Aug 2020 20:53:59 -0700 Subject: [PATCH] [Doc] Add dtreeviz as a showcase example of integration with 3rd-party software (#6013) --- demo/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/demo/README.md b/demo/README.md index e11ef5770..38a0f0bcf 100644 --- a/demo/README.md +++ b/demo/README.md @@ -138,6 +138,7 @@ Send a PR to add a one sentence description:) Open source integrations with XGBoost: * [Neptune.ai](http://neptune.ai/) - Experiment management and collaboration tool for ML/DL/RL specialists. Integration has a form of the [XGBoost callback](https://docs.neptune.ai/integrations/xgboost.html) that automatically logs training and evaluation metrics, as well as saved model (booster), feature importance chart and visualized trees. * [Optuna](https://optuna.org/) - An open source hyperparameter optimization framework to automate hyperparameter search. Optuna integrates with XGBoost in the [XGBoostPruningCallback](https://optuna.readthedocs.io/en/stable/reference/integration.html#optuna.integration.XGBoostPruningCallback) that let users easily prune unpromising trials. +* [dtreeviz](https://github.com/parrt/dtreeviz) - A python library for decision tree visualization and model interpretation. Starting from version 1.0, dtreeviz is able to visualize tree ensembles produced by XGBoost. ## Awards - [John Chambers Award](http://stat-computing.org/awards/jmc/winners.html) - 2016 Winner: XGBoost R Package, by Tong He (Simon Fraser University) and Tianqi Chen (University of Washington)