XGBoost runtime for MLServer

This package provides a MLServer runtime compatible with XGBoost.


You can install the runtime, alongside mlserver, as:

pip install mlserver mlserver-xgboost

For further information on how to use MLServer with XGBoost, you can check out this worked out example.

Content Types

If no content type is present on the request or metadata, the XGBoost runtime will try to decode the payload as a NumPy Array. To avoid this, either send a different content type explicitly, or define the correct one as part of your model’s metadata.