All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Multi-class support for all loss functions and metrics
- Add model benchmarking to the caidm clusters, site available at tfcaidm-site
- Add distinct generators for training (
model.fit
) and model evaluation (model.eval
). These methods are now calledtrain_generator
andeval_generator
. As previously, thecreate_generator
applies the same modification to bothtrain_generator
andeval_generator
. - Add ability to reload the client and training pipeline from a yaml file.
- Removed
pytz
dependency
- Add tensorboard hyperparameter logging
- Add identifiable loss names during training
- Add model inference method for filtering inputs and outputs
- Support for more python3 versions
- TFCAIDM logo in
README.md
- Initial release 🎉