XGBoost changelog

Changelog History

• v0.4.1 Changes

  August 26, 2020

  • ⚡️ Updated XGBoost to 1.2.0

• v0.4.0 Changes

  May 17, 2020

  • ⚡️ Updated XGBoost to 1.1.0
  • Changed default learning_rate and max_depth for Scikit-Learn API to match Python
  • ➕ Added support for Rover
  • 👌 Improved performance of Numo datasets
  • 👌 Improved error message when OpenMP not found on Mac

• v0.3.1 Changes

  April 16, 2020

  • Added feature_names and feature_types to DMatrix
  • ➕ Added feature names to dump

• v0.3.0 Changes

  February 19, 2020

  • ⚡️ Updated XGBoost to 1.0.0

• v0.2.1 Changes

  February 12, 2020

  • 🛠 Fixed Could not find XGBoost error on some Linux platforms
  • 🛠 Fixed SignalException on Windows

• v0.2.0 Changes

  January 26, 2020

  • Prefer XGBoost over Xgb
  • 🔄 Changed to Apache 2.0 license to match XGBoost
  • ➕ Added shared libraries
  • ➕ Added support for booster attributes

• v0.1.3 Changes

  October 28, 2019

  • ➕ Added support for missing values
  • 🛠 Fixed Daru training and prediction
  • 🛠 Fixed error with JRuby

• v0.1.2 Changes

  August 19, 2019

  • Friendlier message when XGBoost not found
  • 🆓 Free memory when objects are destroyed
  • ➕ Added Ranker
  • ➕ Added early stopping to Scikit-Learn API

• v0.1.1 Changes

  August 16, 2019

  • ➕ Added Scikit-Learn API
  • ➕ Added early stopping
  • ➕ Added cv method
  • ➕ Added support for Daru and Numo::NArray
  • ➕ Added many other methods
  • 🛠 Fixed shape of multiclass predictions when loaded from file

• v0.1.0 Changes

  August 15, 2019

  • 🚀 First release