Julia 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)
Categories
AlgorithmsLicense
MIT LicenseFollow DecisionTree.jl
Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DecisionTree.jl!