mlflow-setup

KO | EN

gitlite — search

#python #ai #typescript #llm #android #machine-learning #rust #deep-learning #linux #nodejs #windows #kubernetes #vue #open-source

(★ 22)

A Template for setting up remote MLFlow Tracking Server with PostgreSQL backend and MinIO object storage

mlflow-setup 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

![Banner](https://raw.githubusercontent.com/violincoding/mlflow-setup/main/docs/img/project_banner.png)

# mlflow-setup

This repository contains the code for setting up MLFlow Tracking Server with PostgreSQL as backend and MinIO as artifact store, using docker-compose.

## Prerequisites

Docker and docker-compose should be installed on your machine, either through [Docker Desktop](https://www.docker.com/products/docker-desktop/), or its alternatives such as [Orbstack](https://orbstack.dev/)

## Configure environment variables

Make a copy of the `docker/.env.example` file and rename it to `docker/.env`. Then, update the environment variables in the `.env` file as per your requirements.

## Build and start the services

```bash
docker compose up -d --build
```

If everything is setup properly, you should be able to access the services at the following URLs:

- MLFlow Tracking Server: [http://localhost:5001](http://localhost:5001)
- MinIO Console UI: [http://localhost:9001](http://localhost:9001)

![Screenshots](https://raw.githubusercontent.com/violincoding/mlflow-setup/main/docs/img/minio_mlflow_screenshot.png)

mlflow-setup

mlflow-setup 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

mlflow-setup

mlflow-setup 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README