This repository has been archived by the owner on Apr 15, 2022. It is now read-only.
What's new?
This release has 90 commits and a number of major enhancements.
- JWT Support for the Feature Store and MLManager model deployment (@myles-novick, #138)
- MLflow 1.15 upgrade (@Ben-Epstein, #139)
- New native support for MLModel flavors fastai, spacy, and statsmodels (@Ben-Epstein, #139)
- feature_exists, feature_set_exists, training_view_exists functions (@Ben-Epstein, #140 #143)
- Versioning support for training sets (@Ben-Epstein, #144)
- Get features from feature set function (@Ben-Epstein, #146)
- Migration from PySpliceContext artifact store to an HTTP Splice Artifact store for mlflow (@Ben-Epstein, #147)
- Native Feature Search for Jupyter notebook for Feature Store (@Ben-Epstein, #148)
- Extended get_training_set functions to support returning pandas dataframes and JSON data for users without a Spark Session (@Ben-Epstein, #149)
- Function in mlflow to get the deployed models in an environment and their current statuses (@Ben-Epstein, #150)
Breaking Changes
None - But a NOTE that you must be on the matching ml-workflow release for these functions to work, especially the HTTP artifact store.
This release is in tandem with the ml-workflow release