DownloadJulia implementation of Decision Tree (CART) and Random Forest algorithms.
Features
- Create complex ML pipeline structures using simple expressions
- Heterogeneous ensemble learning package
- Pre-pruning (max depth, min leaf size)
- Multi-threaded bagging (random forests)
- Post-pruning (pessimistic pruning)
- Support for ordered features (encoded as Reals or Strings)
Project Samples
Categories
AlgorithmsLicense
MIT LicenseFollow DecisionTree.jl
You Might Also Like
Our Free Plans just got better! | Auth0 by Okta
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DecisionTree.jl!