Posts by Antoni Baum

02 . 17 . 2022

Three ways to speed up XGBoost model training

In a previous blog post, we covered the advantages and disadvantages of several approaches for speeding up XGBoost model training. In this article, we’ll dive into three different approaches, with code snippets so you can follow along.

08 . 24 . 2021

Fast AutoML with FLAML + Ray Tune

FLAML is a lightweight Python library from Microsoft Research that finds accurate machine learning models in an efficient and economical way using cutting edge algorithms designed to be resource-efficient and easily parallelizable. FLAML can also uti...

Ray + LightGBM
08 . 10 . 2021

Introducing Distributed LightGBM Training with Ray

LightGBM is a gradient boosting framework based on tree-based learning algorithms. Compared to XGBoost, it is a relatively new framework, but one that is quickly becoming popular in both academic and production use cases.  We’re excited to announce a...