All Versions
10
Latest Version
Avg Release Cycle
42 days
Latest Release
628 days ago
Changelog History
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
andmax_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
andfeature_types
toDMatrix
- ➕ Added feature names to
dump
- Added
-
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
- 🛠 Fixed
-
v0.2.0 Changes
January 26, 2020- Prefer
XGBoost
overXgb
- 🔄 Changed to Apache 2.0 license to match XGBoost
- ➕ Added shared libraries
- ➕ Added support for booster attributes
- Prefer
-
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