mlflow-deployment
CLI for deployment of MLFlow with support for backend and artifact stores.
Deploy MLFlow with support for PostgreSQL, Azure Blobs, Amazon S3 and Google Cloud Platform with ease.
Usage
-
python -m mlflow_deploy_cli --artifact-store '<desired_store>'can beazure,s3,gcporlocal -
cd build -
docker build . -t mlflow -
docker-compose up -f docker-compose.yml up
MLFlow is up and running 🚀.
Release files for mlflow-deploy-cli 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlflow_deploy_cli-1.0.1.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlflow_deploy_cli-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.6 kB
Release files / mlflow_deploy_cli-1.0.1.tar.gz
| Download URL | mlflow_deploy_cli-1.0.1.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.9.11 Darwin/21.3.0
|
Release files / mlflow_deploy_cli-1.0.1-py3-none-any.whl
| Download URL | mlflow_deploy_cli-1.0.1-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.9.11 Darwin/21.3.0
|