RELEASENOTES.md

Release notes

0.3.1

• #23 Add method FVec.Transformer#fromArray(float[] values, float treatsValueAsNA).
• #29 Support for loading reg:logistic models.
• #35 Handle ntree_limit higher than number of trees in GBTree and Dart model in graceful way.
• #36 Fixes NPE when predicting on an empty "gbtree" model.

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.