This is the development repository of GPU-accelerated LightGBM. LightGBM is a popular Gradient Boosted Decision Tree (GBDT) training system, and has been shown to be faster than XGBoost on large-scale ...
Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
This project builds a high‑performance multi‑class classifier to predict forest cover type from cartographic features using the Forest Cover Type dataset. The focus is on: End‑to‑end supervised ...
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations. Although many engineering optimizations have been adopted in these ...
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