MLflow runtime for MLServer
This package provides a MLServer runtime compatible with MLflow models.
Usage
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
[`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.
1 maintainer
Metadata
1 maintainer
Release files for mlserver-mlflow 1.7.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| mlserver_mlflow-1.7.1.tar.gz | 8.5 kB | Without provenance | Details for mlserver_mlflow-1.7.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlserver_mlflow-1.7.1-py3-none-any.whl | Python 3 | none | any | Details for mlserver_mlflow-1.7.1-py3-none-any.whl |
Total release size: 18.7 kB
Release files / mlserver_mlflow-1.7.1.tar.gz
| Download URL | mlserver_mlflow-1.7.1.tar.gz |
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| Size | 8.5 kB |
| Tags | Source |
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Release files / mlserver_mlflow-1.7.1-py3-none-any.whl
| Download URL | mlserver_mlflow-1.7.1-py3-none-any.whl |
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| Size | 10.2 kB |
| Tags | Python 3 |
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