As we continue to iterate on our core capabilities, we are pleased to announce the following product improvements in our June 2022 product release:
- Model Auto-Conversion Updated to include
kerasML Models:- Wallaroo provides an auto-conversion method that supports
sk-learn,XGBoost, andkerasmodels. This method converts the submitted model and uploads it into the current workspace. The following tutorials demonstrate how to use theconvert_modelmethod to convert a model for use with Wallaroo and run sample inferences on the converted model: - sk-learn
- keras
- XGBoost Classification and XGBoost Regression
- Wallaroo provides an auto-conversion method that supports
- Statsmodel Support:
- Statsmodels can be imported into a Wallaroo instance as Pickle files.
- Amazon Web Services EC2 for Wallaroo Community:
- Wallaroo Community can be installed into a Kubernetes cloud environment such as Amazon AWS, Google GCP and Microsoft Azure. This release provides support for Amazon EC2 instances for Wallaroo Community from a pre-made instance, making the installation even easier for organizations.
For more information on these and other features, see the Wallaroo Documentation Page.
More product release notes:
- December 2022 Product Release Notes
- September 2022 Product Release Notes
- August 2022 Product Release Notes
- July 2022 Product Release Notes
- May 2022 Product Release Notes
- April 2022 Product Release Notes
- March 2022 Product Release Notes
- February 2022 Product Release Notes

