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CHANGELOG.md

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0.12.0 (unreleased)

  • Dropped support for Daru
  • Dropped support for Ruby < 3.3

0.11.1 (2026-02-14)

  • Updated XGBoost to 3.2.0

0.11.0 (2025-10-18)

  • Updated XGBoost to 3.1.0
  • Dropped support for Ruby < 3.2

0.10.0 (2025-03-15)

  • Updated XGBoost to 3.0.0

0.9.0 (2024-10-17)

  • Updated XGBoost to 2.1.1
  • Added support for callbacks
  • Added num_features and save_config methods to Booster
  • Added num_nonmissing and data_split_mode methods to DMatrix
  • Dropped support for Ruby < 3.1

0.8.0 (2023-09-13)

  • Updated XGBoost to 2.0.0
  • Dropped support for Ruby < 3

0.7.3 (2023-07-24)

  • Fixed error with dup and clone

0.7.2 (2023-05-12)

  • Updated XGBoost to 1.7.5
  • Added musl shared library for Linux
  • Improved error message for invalid matrix

0.7.1 (2022-10-31)

  • Updated XGBoost to 1.7.0

0.7.0 (2022-06-05)

  • Updated XGBoost to 1.6.1
  • Improved ARM detection
  • Dropped support for Ruby < 2.7

0.6.0 (2021-10-23)

  • Updated XGBoost to 1.5.0

0.5.3 (2021-05-12)

  • Updated XGBoost to 1.4.0
  • Added ARM shared library for Linux

0.5.2 (2021-03-09)

  • Added ARM shared library for Mac

0.5.1 (2021-02-08)

  • Fixed error with validation sets without early stopping

0.5.0 (2020-12-12)

  • Updated XGBoost to 1.3.0

0.4.1 (2020-08-26)

  • Updated XGBoost to 1.2.0

0.4.0 (2020-05-17)

  • 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

0.3.1 (2020-04-16)

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

0.3.0 (2020-02-19)

  • Updated XGBoost to 1.0.0

0.2.1 (2020-02-11)

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

0.2.0 (2020-01-26)

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

0.1.3 (2019-10-27)

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

0.1.2 (2019-08-19)

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

0.1.1 (2019-08-16)

  • 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

0.1.0 (2019-08-15)

  • First release