ML Workspace is an easy-to-use web-based development environment for machine learning and data science. In this tutorial, we will guide you through the process of installing ML Workspace on a Debian operating system.
Before installing any new package, it's important to update and upgrade the system packages to their latest versions.
sudo apt update && sudo apt upgrade -y
ML Workspace is dependent on Docker, so let's first install Docker by running the following command:
sudo apt install docker.io -y
After the installation is complete, start and enable Docker to start at system boot:
sudo systemctl start docker
sudo systemctl enable docker
Clone the ML Workspace repository from GitHub:
git clone https://github.com/ml-tooling/ml-workspace.git
Change into the ml-workspace directory:
cd ml-workspace
Now, build the Docker image for ML Workspace:
sudo docker build -t ml-workspace -f docker/Dockerfile .
Finally, run the image to start the ML Workspace container:
sudo docker run -d -p 8080:8080 -v "$(pwd):/workspace/data" --name ml-workspace ml-workspace
You can replace $(pwd) with the path to the directory where you want to save your data.
You can now access ML Workspace by opening your web browser and visiting http://localhost:8080. You should see the ML Workspace login page.
Log in with the credentials:
mlusermluserCongratulations! You have installed and launched ML Workspace on your Debian system.
In this tutorial, you learned how to install ML Workspace on your Debian operating system using Docker. ML Workspace is a powerful tool for machine learning and data science development, and we hope that this tutorial will enable you to make the best use of it.
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