* LinearLearnerEstimator: Add more hyper-parameters
1.0.3
* XGBoostSageMakerEstimator: Fix maxDepth hyperparameter to use correct type (Int)
1.0.2
* Estimators: Add wrapper class for LDA algorithm * Setup: Add module pytest-xdist to enable parallel testing * Documentation: Change jar path in index.rst * Documentation: Add instructions for s3 and s3a in README * Estimators: Remove unimplemented hyper-parameter in linear learner * Tests: Remove tests in py3.5 to speed up testing * Documentation: Add instructions for building pyspark from source in readme * Wrapper: Enable conversion from python list to scala.collection.immutable.List * Setup: add coverage to the scala build * Documentation: use SparkSession, not SparkContext in PySpark README
1.0.1
* Estimators: add support for Amazon FactorizationMachines algorithm * Documentation: multiple updates to README, scala docs, addition of CHANGELOG.rst file * Setup: update SBT plugins * Setup: add travis file