Wallaroo SDK Essentials Guide: Client Connection
How to connect to a Wallaroo instance through the Wallaroo SDK
The following commands are the most essential when working with Wallaroo. They are listed in the order that a typical workflow would follow as the following:
The following ML Model versions and Python libraries are supported by Wallaroo. When using the Wallaroo autoconversion library or working with a local version of the Wallaroo SDK, use the following versions for maximum compatibility.
Library | Supported Version |
---|---|
Python | 3.8.6 and above |
onnx | 1.12.0 |
tensorflow | 2.9.1 |
keras | 2.9.0 |
pytorch | Latest stable version. When converting from PyTorch to onnx, verify that the onnx version matches the version above. |
sk-learn aka scikit-learn | 1.1.2 |
XGBoost | 1.6.2 |
MLFlow | 1.30.0 |
How to connect to a Wallaroo instance through the Wallaroo SDK
How to create and use Wallaroo Workspaces through the Wallaroo SDK
How to create and manage Wallaroo Models through the Wallaroo SDK
How to create and manage Wallaroo Users through the Wallaroo SDK
How to create and manage Wallaroo Pipelines through the Wallaroo SDK
How to create and manage Wallaroo Tags through the Wallaroo SDK
How to use Wallaroo for model inferencing through the Wallaroo SDK
How to create and manage Wallaroo Assays through the Wallaroo SDK