Installing ML Workspace on Void Linux

In this tutorial, we will go through the steps to install ML Workspace, an open-source web-based platform for machine learning and data science workloads, on Void Linux.

Prerequisites

Before you get started, you need to have the following:

• A system running Void Linux
• Docker and Docker Compose

Installation Steps

1. First, ensure that your system is up to date by running the following commands:

sudo xbps-install -Syu

2. Install Git by running the following command:

sudo xbps-install -S git

3. Clone the ML Workspace repository to your system by running the following command:

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

4. Navigate to the cloned repository by running the following command:

cd ml-workspace

5. Install Docker and Docker Compose:

sudo xbps-install -S docker docker-compose

6. Start Docker and Docker Compose systemd services:

sudo ln -s /etc/sv/docker /var/service/
sudo ln -s /etc/sv/docker-compose /var/service/

7. Add your user to the docker group:

sudo usermod -aG docker $(whoami)

Logout and log back in again for the changes to take effect.

8. Start ML Workspace by running the following command:

docker-compose up -d

This command will pull the Docker images needed to run ML Workspace from Docker Hub, and start the ml-workspace container in detached mode.

9. Access ML Workspace

After the Docker container has started, navigate to http://localhost:8080 in your web browser to access ML Workspace.

You can log in using one of the following credentials:

• Username: workspace_admin, Password: admin
• Username: workspace_user, Password: user

Conclusion

In this tutorial, we've shown you how to install ML Workspace on Void Linux. You should now be able to start using the platform to for your machine learning and data science workloads.

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