From b129e9a7cc650cba15c4c9c5b51dbe6772a29bd9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tomasz=20D=C5=82uski?= Date: Fri, 3 Dec 2021 22:22:39 +0100 Subject: [PATCH] Update README.md --- README.md | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index da88d49..860b758 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,13 @@ # MLFlow Docker Setup [![Actions Status](https://github.com/Toumash/mlflow-docker/workflows/VerifyDockerCompose/badge.svg)](https://github.com/Toumash/mlflow-docker/actions) -If you want to boot up mlflow project with one-liner - this repo is for you. +> If you want to boot up mlflow project with one-liner - this repo is for you. +> The only requirement is docker installed on your system and we are going to use Bash on linux/windows. + +# πŸš€ 1-2-3! Setup guide +1. Configure `.env` file for your choice. You can put there anything you like, it will be used to configure you services +2. Run `docker compose up` +3. Open up http://localhost:5000 for MlFlow, and http://localhost:9001/ to browse your files in S3 artifact store -The only requirement is docker installed on your system and we are going to use Bash on linux/windows. **πŸ‘‡Video tutorial how to set it up on Microsoft Azure πŸ‘‡** @@ -15,10 +20,6 @@ The only requirement is docker installed on your system and we are going to use - Ready to use bash scripts for python development! - Automatically-created s3 buckets -# πŸš€ Setup guide -1. Configure `.env` file for your choice. You can put there anything you like, it will be used to configure you services -2. Run `docker compose up` -3. Open up http://localhost:5000 for MlFlow, and http://localhost:9001/ to browse your files in S3 artifact store ## How to use in ML development in python