v1.0.0
We're considering this library's API relatively stable at this point, so we're making this our 1.0 release and will be following semver for any future updates!
Notable changes from pre-1.0 version:
- The wrapper class now takes numpy arrays and/or pandas series rather than dataframes and column names for the training and testing data. (See the wrapper docs and the second code block in basic usage#default-approach for an example)
- We have unit tests now! They can be run with
pytest
from the project root - The cuda torch device can be overridden for the default encoding handler, this is passed to the wrapper constructor with
cuda_device
- Version specifications are added for several of the required dependencies
- Many various bug fixes