How to Install ML Workspace on Windows 11

ML Workspace is an open-source web-based integrated development environment (IDE) designed for machine learning and data science projects. In this tutorial, we will guide you on how to install ML Workspace on Windows 11 operating system.

Prerequisites

Before proceeding with the installation process, make sure that you have the following prerequisites:

  • A Windows 11 operating system installed on your computer.
  • Docker Desktop installed on your computer.
  • Git installed on your computer.

Step 1: Download ML Workspace

To download ML Workspace, open the Command Prompt or Git Bash terminal on your computer and execute the following command:

git clone https://github.com/ml-tooling/ml-workspace.git

This command downloads the ML Workspace repository from GitHub to your local machine.

Step 2: Configure ML Workspace

Now, you need to navigate to the downloaded ML Workspace directory using the following command:

cd ml-workspace

After that, you need to create a copy of the .env.example file and rename it to .env using the following command:

cp .env.example .env

Next, you need to open the .env file using a text editor and modify the following variables as per your requirement:

  • AUTH_ENABLED: Set this variable to false if you want to disable the authentication feature in ML Workspace, or set it to true to enable the authentication feature.
  • DOMAIN: Set this variable to your domain or IP address. You can use localhost if you are running ML Workspace locally.
  • USE_HTTPS: Set this variable to false if you want to run ML Workspace using HTTP protocol, or set it to true to run it using HTTPS protocol.
  • AUTHENTICATOR: Set this variable to internal if you want to use the built-in authentication feature in ML Workspace, or set it to oauth2 if you want to use an external OAuth2 provider for authentication.

Step 3: Start ML Workspace

To start ML Workspace, you need to execute the following command:

docker-compose up -d

This command starts the Docker containers required by ML Workspace in detached mode. Once the containers are up and running, you can access ML Workspace using your web browser.

Step 4: Access ML Workspace

To access ML Workspace, open your web browser and enter the following URL:

http://localhost

If you have enabled HTTPS protocol, enter the following URL:

https://localhost

You will be prompted to enter your username and password if you have enabled the authentication feature in ML Workspace. If not, you will be directly redirected to the ML Workspace interface.

Conclusion

In this tutorial, we have shown you how to install ML Workspace on Windows 11 operating system. Now, you can start using ML Workspace for your machine learning and data science projects.