What's New?
* Service API Input/Output adapter 783 784 789, by bojiang
* A new API for defining service input and output data types and configs
* The new `InputAdapter` is essentially the `API Handler` concept in BentoML prior to version 0.8.x release
* The old `API Handler` syntax is being deprecated, it will continue to be supported until version 1.0
* The main motivation for this change, is to enable us to build features such as new API output types(such as file/image as service output), add gRPC support, better OpenAPI support, and more performance optimizations in online serving down the line
* Model server docker image build improvements 761
* Reduced docker build time by using a pre-built BentoML model server docker image as the base image
* Removed the dependency on `apt-get` and `conda` from the custom docker base image
* Added alpine based docker image for model server deployment
* Improved Image Input handling:
* Add micro-batching support for ImageInput (former ImageHandler) 717, by bojiang
* Add support for using a list of images as input from CLI prediction run 731, by bojiang
* In the new Input Adapter API introduced in 0.8.0, the `LegacyImageInput` is identical to the previous `ImageHandler`
* The new `ImageInput` works only for single image input, unlike the old `ImageHandler`
* For users using the old `ImageHandler`, we recommend migrating to the new `ImageInput` if it is only used to handle single image input
* For users using `ImageHanlder` for multiple images input, wait until the `MultiImageInput` is added, which will be a separate input adapter type
* Added CORS support for AWS Lambda serving 752, by omrihar
* Added JsonArtifact for storing configuration and JsonSerializable data 746, by lemontheme
Bug Fixes & Improvements:
* Fixed Sagemaker deployment `ModuleNotFounderError` due to wrong gevent version 785 by flosincapite
* Fixed SpacyModelArtifact not exposed in `bentoml.artifacts` 782, by docteurZ
* Fixed errors when inheriting handler 767, by bojiang
* Removed `future` statements for py2 support, 756, by jjmachan
* Fixed bundled_pip_dependencies installation on AWS Lambda deployment 794
* Removed `aws.region` config, use AWS CLI's own config instead 740
* Fixed SageMaker deployment CLI: delete deployment with namespace specified 741
* Removed `pandas` from BentoML dependencies list, it is only required when using DataframeInput 738
Internal, CI, Testing:
* Added docs watch script for Linux 781, by akainth015
* Improved build bash scripts 774, by akainth015, flosincapite
* Fixed YataiService end-to-end tests 773
* Added PyTorch integration tests 762, by jjmachan
* Added ONNX integration tests 726, by yubozhao
* Added linter and formatting check to Travis CI
* Codebase cleanup, reorganized deployment and repository module 768 769 771
Announcements:
* The BentoML team is planning to start a bi-weekly community meeting to demo new features, discuss the roadmap and gather feedback. Join the BentoML slack channel for more details: [click to join BentoML slack](https://join.slack.com/t/bentoml/shared_invite/enQtNjcyMTY3MjE4NTgzLTU3ZDc1MWM5MzQxMWQxMzJiNTc1MTJmMzYzMTYwMjQ0OGEwNDFmZDkzYWQxNzgxYWNhNjAxZjk4MzI4OGY1Yjg).
* There are a few issues with PyPI release `0.8.0` that made it not usable. The newer `0.8.1` release has those issues fixed. Please do not use version `0.8.0`.