Hi All,<p>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.<p>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.<p>The package is available on pip: `pip install supertree`.<p>You can find code examples on the GitHub: <a href="https://github.com/mljar/supertree">https://github.com/mljar/supertree</a><p>Happy exploring!
I'm very biased in favor of Javascript, but I have to say it looks very nice! Nice job!<p>Here's my user test: <a href="https://www.loom.com/share/2b751d8c08fb4998aae02678ff1d6ce2" rel="nofollow">https://www.loom.com/share/2b751d8c08fb4998aae02678ff1d6ce2</a>
I use random forests as a first model for basically everything classification or regression.<p>This looks incredibly useful for understanding samples of individual trees, for which I use the nice but limited inbuilt tree object in sklearn.<p>Thank you!
looks like you need to pay to use this "free open source lib"<p><a href="https://github.com/mljar/supertree/blob/main/supertree-commercial-license.pdf">https://github.com/mljar/supertree/blob/main/supertree-comme...</a>
Interesting choice of license, source available, but only free (as in beer) for personal use.<p>I am all for trying to find sustainable ways to finance these kind of projects. But in practice I think the way it's now makes it unlikely that you will get our money. For once, I can't find a price, and secondly, I get tired just thinking of the process of figuring out how to pay someone somewhere money.<p>I, and most developers in my professional circle, can do purchases through their respective cloud provider. Maybe you should check how easy it is for you to get it in as a product in e.g azure marketplace?