Wallaroo SDK Install Guides

The following guides demonstrate how to install the Wallaroo SDK in different environments. The Wallaroo SDK is installed by default into a Wallaroo instance for use with the JupyterHub service.

The Wallaroo SDK requires Python 3.8.6 and above and is available through the Wallaroo SDK Page.

When using the Wallaroo SDK, it is recommended that the Python modules used are the same as those used in the Wallaroo JupyterHub environments to ensure maximum compatibility. When installing modules in the Wallaroo JupyterHub environments, do not override the following modules or versions, as that may impact how the JupyterHub environments performance.

appdirs == 1.4.4
gql == 3.4.0
ipython == 7.24.1
matplotlib == 3.5.0
numpy == 1.22.3
orjson == 3.8.0
pandas == 1.3.4
pyarrow == 9.0.0
PyJWT == 2.4.0
python_dateutil == 2.8.2
PyYAML == 6.0
requests == 2.25.1
scipy == 1.8.0
seaborn == 0.11.2
tenacity == 8.0.1
# Required by gql?
requests_toolbelt>=0.9.1<1
# Required by the autogenerated ML Ops client
httpx >= 0.15.4<0.24.0
attrs >= 21.3.0
# These are documented as part of the autogenerated ML Ops requirements
# python = ^3.7
# python-dateutil = ^2.8.0

Supported Model Versions and Libraries

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.

Supported Data Types

The following data types are supported for transporting data to and from Wallaroo in the following run times:

• ONNX
• TensorFlow
• MLFlow

Data Type Conditions

The following conditions apply to data types used in inference requests.

• None or Null data types are not submitted. All fields must have submitted values that match their data type. For example, if the schema expects a float value, then some value of type float must be submitted and can not be None or Null. If a schema expects a string value, then some value of type string must be submitted, etc.
• datetime data types must be converted to string.
• ONNX models support multiple inputs only of the same data type.

• Float Types
• Int Types
• Uint Types
• Other Types