v0.1.18

• XGBoost LabeledPoint support

v0.1.17

• Java TensorFlow Example extractor

v0.1.16

• Minimum Description Length (MDL) transformer

v0.1.15

• FeatureSpec composition

v0.1.14

• Java feature crossing

v0.1.13

• Performance improvements for streaming & backend use cases
• Quantile and Inter Quartile Range Rejectors

v0.1.12

• Performance optimizations
• Fix TensorFlow UnsupportedOperationException

v0.1.11

• Add n-grams transformer
• Fix Java sparse array concurrency issue
• Fix missing rejections in FeatureBuilder
• Remove commons-math3 dependency

v0.1.10

• Add feature crossing support
• Add HeavyHitters transformer
• Fix Java types in FloatSparseArray and DoubleSparseArray

v0.1.9

• Scala 2.12 support (except Flink and Spark)
• Add Java sparse array support
• Update Algebird to 0.13.2
• Use relatively safe max size of Java array