Pheobe-Boost

Developing my own Boosted Decision-Tree Algorithm from Scratch.

• Borrowing Ideas from XGBoost, CatBoost and many more.

How to Install

• Currently the only way to test the algorithm is by manually installing the repository via git clone.

git clone https://github.com/bkrmm/PheobeBoost.git 

• I am working deploying the repo as a library with PyPi.

How to test

• you can always test the algorithm by using it on a premade test in the file named ntest.py

python ntest.py

Plan

1. Making the TUI more accessible and better suited for everyone. {Making it look good}
2. Advance on the foundation of Decision Trees and make an Gradient Boosted Decision Tree Algorithm in the near future.