This package provides a MLServer runtime compatible with MLflow models.
You can install the runtime, alongside mlserver, as:
pip install mlserver mlserver-mlflow
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
[`np`](../../docs/user-guide/content-type).
This allows the user to use a different set of content types to decode each of
the dict entries.
FAQs
MLflow runtime for MLServer
We found that mlserver-mlflow demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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