v0.7.0

Bump version: 0.6.2 → 0.7.0

v0.6.2

• Minor bugfixes

v0.6.1

• Deleted accidental debug 'print' call :/

v0.6.0

• Prebuilt flask server images for faster image build
• More and better methods in Ebonite client
• Pipelines - chain Models methods into one Model-like objects
• Refactioring of image and instance API
• Rework of pandas DatasetType: now with column types, even non-primitive (e.g. datetimes)
• Helper functions for stanalone docker build/run
• Minor bugfixes and features

v0.5.2

• Fixed dependency inspection to include wrapper dependencies
• Fixed s3 repo to fail with subdirectories
• More flexible way to add parameters for instance running (e.g. docker run arguments)
• Added new type of Requirement to represent unix packages - for example, libgomp for xgboost
• Minor tweaks

v0.5.1

• Minor fixes and examples update

v0.5.0

0.5.0 (2020-04-10)

• Built Docker images and running Docker containers along with their metadata are now persisted in metadata repository
• Added possibility to track running status of Docker container via Ebonite client
• Implemented support for pushing built images to remote Docker registry
• Improved testing of metadata repositories and Ebonite client and fixed discovered bugs in them
• Fixed bug with failed transactions not being rolled back
• Fixed bug with serialization of complex models some component of which could not be pickled
• Decomposed model IO from model wrappers
• bytes are now used for binary datasets instead of file-like objects
• Eliminated build_model_flask_docker in favor of Server-driven abstraction
• Sped up PickleModelIO by avoiding ModelAnalyzer calls for non-model objects
• Sped up Model.create by calling model methods with given input data just once
• Dataset types and model wrappers expose their runtime requirements

v0.4.0

• Implemented asyncio-based server via aiohttp library
• Implemented support for Tensorflow 2.x models
• Changed default type of base python docker image to "slim"
• Added description and params fields to Model. description is a text field and params is a dict with arbitrary keys
• Fixed bug with building docker image with different python version that the Model was created with

v0.3.5

Fixed critical bug with wrapper meta

v0.3.4

• Fixed bug with deleting models from tasks
• Support working with model meta without requiring installation of all model dependencies
• Added region argument for s3 repository
• Support for delete_model in Ebonite client
• Support for force flag in delete_model which deletes model even if artifacts could not be deleted