Release notes

0.3.0

#27 Support DART model.

0.2.1

Support an objective function: "rank:pairwise"

0.2.0

Support XGBoost4J-Spark-generated model file format.
Introduce xgboost-predictor-spark.

0.1.8

Make Predictor Spark-friendly (implement Serializable interface, #11 )

0.1.7

Support latest model file format.
- Commit log of xgboost

0.1.6

Improve the speed performance of prediction:
- Optimize tree retrieval performance.

0.1.5

Support an objective function: "reg:linear"

0.1.4

Improve the speed performance of prediction:
- Introduce methods Predictor#predictSingle() for predicting single value efficiently.

0.1.3

Improve the speed performance of prediction:
- Use Jafama for calculating sigmoid function faster.
- Calling ObjFunction.useFastMathExp(true) you can use Jafama's FastMath.exp().

0.1.2

#2 Add linear models (GBLinear).

0.1.1

#1 Allow users to register their ObjFunction.

0.1.0

Initial release.