June Release Overview

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:
  • Wallaroo provides an auto-conversion method that supports sk-learn, XGBoost, and keras models. This method converts the submitted model and uploads it into the current workspace. The following tutorials demonstrate how to use the convert_model method to convert a model for use with Wallaroo and run sample inferences on the converted model:
  • sk-learn
  • keras
  • XGBoost Classification and XGBoost Regression
• 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.

For more information about this release, please contact us at deployML@wallaroo.ai .