Pre-release
This release is a pre-release and may not be stable for production use.
MLflow runtime for KozmoServer
This package provides a KozmoServer runtime compatible with MLflow models.
Usage
You can install the runtime, alongside kozmoserver, as:
pip install kozmoserver kozmoserver-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.
Release files for kozmoserver-mlflow 0.1.0.dev1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kozmoserver_mlflow-0.1.0.dev1.tar.gz | 8.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kozmoserver_mlflow-0.1.0.dev1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.9 kB
Release files / kozmoserver_mlflow-0.1.0.dev1.tar.gz
| Download URL | kozmoserver_mlflow-0.1.0.dev1.tar.gz |
|---|---|
| Size | 8.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / kozmoserver_mlflow-0.1.0.dev1-py3-none-any.whl
| Download URL | kozmoserver_mlflow-0.1.0.dev1-py3-none-any.whl |
|---|---|
| Size | 10.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.5.1 CPython/3.9.13 Darwin/22.1.0
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