All Versions
10
Latest Version
Avg Release Cycle
42 days
Latest Release
420 days ago

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