Mlflow Mlserver Docker
This is a utility package for building mlserver docker images based on MLflow models on a remote tracking server.
Currently, the S3 backend is the only officially supported backend, but any backend should work just fine as long as you have all the required dependencies installed. If you're interested in other backends let me know.
Installation
pip install mlflow-mlserver-docker
Usage
mlflow-mlserver-docker build runs:/fg8934ug54eg9hrdegu904/model
Development
poetry install
poetry self add poetry-version-plugin
Make sure docker is running.
1 maintainer
Metadata
1 maintainer
Release files for mlflow-mlserver-docker 0.4.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlflow-mlserver-docker-0.4.1.tar.gz | 3.9 kB | Without provenance | Details for mlflow-mlserver-docker-0.4.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlflow_mlserver_docker-0.4.1-py3-none-any.whl | Python 3 | none | any | Details for mlflow_mlserver_docker-0.4.1-py3-none-any.whl |
Total release size: 8.7 kB
Release files / mlflow-mlserver-docker-0.4.1.tar.gz
| Download URL | mlflow-mlserver-docker-0.4.1.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/1.2.0 CPython/3.10.6 Linux/5.15.0-1019-azure
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Release files / mlflow_mlserver_docker-0.4.1-py3-none-any.whl
| Download URL | mlflow_mlserver_docker-0.4.1-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.0 CPython/3.10.6 Linux/5.15.0-1019-azure
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Security for mlflow-mlserver-docker 0.4.1
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