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MLflow runtime for MLServer

Project description

MLflow runtime for MLServer

This package provides a MLServer runtime compatible with MLflow models.


You can install the runtime, alongside mlserver, as:

pip install mlserver mlserver-mlflow

Content Types

The MLflow inference runtime introduces a new dict content type, which decodes an incoming V2 request as a dictionary of tensors. This is useful for certain MLflow-serialised models, which will expect that the model inputs are serialised in this format.

The `dict` content type can be _stacked_ with other content types, like
This allows the user to use a different set of content types to decode each of
the dict entries.

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