CHANGELOG

1.2.1

spark/pyspark: encode DenseMatrix and SparseMatrix in probobuf Record format
spark/pyspark: add new region support for BOM/SIN/LHR/YUL/SFO

1.2.0

spark/pyspark: add support for GovCloud

1.1.4

spark/pyspark bug-fix: Increase default timeout for inference requests

1.1.3

spark/pyspark feature: LinearLearnerEstimator: Add multi-class classifier

1.1.2

spark/pyspark: Enable FRA and SYD region support for spark SDK

1.1.1

spark/pyspark: Enable ICN region support for spark SDK

1.1.0

spark/pyspark: Enable NRT region support for spark SDK

1.0.5

pyspark: SageMakerModel: Fix bugs in creating model from training job, s3 file and endpoint
spark/pyspark: XGBoostSageMakerEstimator: Fix seed hyperparameter to use correct type (Int)

1.0.4

spark/pyspark feature: LinearLearnerEstimator: Add more hyper-parameters

1.0.3

feature: XGBoostSageMakerEstimator: Fix maxDepth hyperparameter to use correct type (Int)

1.0.2

feature: Estimators: Add wrapper class for LDA algorithm
feature: Setup: Add module pytest-xdist to enable parallel testing
feature: Documentation: Change jar path in index.rst
feature: Documentation: Add instructions for s3 and s3a in README
feature: Estimators: Remove unimplemented hyper-parameter in linear learner
feature: Tests: Remove tests in py3.5 to speed up testing
feature: Documentation: Add instructions for building pyspark from source in readme
feature: Wrapper: Enable conversion from python list to scala.collection.immutable.List
feature: Setup: add coverage to the scala build
feature: Documentation: use SparkSession, not SparkContext in PySpark README

1.0.1

feature: Estimators: add support for Amazon FactorizationMachines algorithm
feature: Documentation: multiple updates to README, scala docs, addition of CHANGELOG.rst file
feature: Setup: update SBT plugins
feature: Setup: add travis file

1.0.0

Initial commit