Acumos Python Client Release Notes¶

v0.7.1¶

Authentication
- Username and password authentication has been deprecated
- Users are now interactively prompted for an onboarding token, as opposed to a username and password

Requirements
- Python script dependencies can now be specified using a Requirements object
- Python script dependencies found during the introspection stage are now included with the model

Bug fixes
- Don’t attempt to use an empty auth token (avoids blank strings to be set in environment)

Bug fixes
- The normalized path of the system base prefix is now used for identifying stdlib packages

Bug fixes
- Improved dependency inspection when using a virtualenv
- Removed custom packages from model metadata, as it caused image build failures
- Fixed Python 3.5.2 ordering bug in wrapped model usage

TensorFlow
- Fixed a serialization issue that occurred when using a frozen graph

Model upload
- The JWT is now cleared immediately after a failed upload
- Additional HTTP information is now included in the error message

Authentication token
- A new environment variable ACUMOS_TOKEN can be used to short-circuit the authentication process
Extra headers
- AcumosSession.push now accepts an optional extra_headers argument, which will allow users and systems to include additional information when pushing models to the onboarding server

Modeling
- Python 3.6 NamedTuple syntax support now tested
- User documentation includes example of new NamedTuple syntax
Model wrapper
- Model wrapper now has APIs for consuming and producing Python dicts and JSON strings
Protobuf and protoc
- An explicit check for protoc is now made, which raises a more informative error message
- User documentation is more clear about dependence on protoc, and provides an easier way to install protoc via Anaconda
Keras
- The active keras backend is now included as a tracked module
- keras_contrib layers are now supported