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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)
Project Samples
Categories
AlgorithmsLicense
MIT LicenseFollow DecisionTree.jl
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