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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

  1. pip install mlflow-deploy-cli

  2. python -m mlflow_deploy_cli --artifact-store '<desired_store>' can be azure, s3, gcp or local

  3. cd build

  4. docker build . -t mlflow

  5. 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)

Source distribution for mlflow-deploy-cli 1.0.1
File Size Uploaded
mlflow_deploy_cli-1.0.1.tar.gz 3.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for mlflow-deploy-cli 1.0.1
File Interpreter ABI Platform
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
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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
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8bf3f49fae276f750cda6cc5bdc355ff4869aeb773f167f371d24129ffd60a84
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Uploaded via poetry/1.1.14 CPython/3.9.11 Darwin/21.3.0

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This release

1.0.1 This release

2 release files

1.0.0

2 release files

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