Bentoml

* Support for H2O models
* Support for deploying BentoArchive to Amazon SageMaker endpoint
* Support for querying deployment status and delete deployment created with BentoML
* Fixed kubernetes ingress configuration for gunicorn server https://github.com/bentoml/BentoML/issues/136

* _Breaking Change_: updated the format of config file `bentml.yml`' in the generated archive to include more information. Newer version BentoML won't be able to load archive generated before 0.1.2
* Added support for deploying to serverless platforms, including AWS lambda and google cloud platform functions
* Added REST API index page documentation on available endpoints

* Added Xgboost support
* Added DataframeHandler options includes 'typ', 'input_columns', 'orient'
* BentoML cli command now supporst json string as input, e.g. --input="{"col": {"0": "bc"}}"
* BentoML cli command now supports input file from s3, e.g. --input=s3://my-bucket/test.csv
* Added gunicorn support, serve-gunicorn is now default in generated Docker image
* Added `ver` decorator for specifying versions with [semantic versioning](https://semver.org/)

0.0.8.post1-beta