Introduction to tree models with Python

Borsa istanbul şirketleri hakkında trend ve fiyat tahmin çalışması

Rocket Failure Analysis - Python classification and SHAP for interpretability - Rocket Launch Industry dataset

Exact Integrated Gradients for tree ensembles, including XGBoost, LightGBM, Random Forests, and Gradient Boosting. Computes fast, exact feature attributions for tree models without numerical gradients, numerical integration, Monte Carlo sampling, or path approximations.

Fast gradient-boosted decision trees for Apple Silicon. A lightweight, sklearn-style Python API powered by MPS and Metal.

Feature attribution for realized model fit (rather than predictions). EDEF provides exact additive decomposition of predictive performance for linear, PyTorch, JAX, and tree-based models, including standard errors, grouped inference, and exact TreeIG decompositions for tree-based models.

Attempt at Training Tree models using Genetic Algorithms to generate AutoTrading Rules

RR-TreeLM v4 experiments for PPM-first tree language modeling