How to Install ML Workspace on Arch Linux

In this tutorial, we will guide you through the installation of ML Workspace on Arch Linux. ML Workspace is an open-source platform that provides data scientists and developers with an environment to work on machine learning projects.

Prerequisites

• Arch Linux installed on your machine
• Root privileges
• Git installed on your machine

Steps to Install

Step 1: Install Docker

Docker is required to run the ML Workspace container. Enter the following command to install Docker on your Arch Linux operating system:

sudo pacman -S docker

Step 2: Start the Docker Service

After the installation of Docker, start the Docker service:

sudo systemctl start docker

Step 3: Download ML Workspace

Clone the ML Workspace repository from Github:

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

Step 4: Build ML Workspace Docker Image

Open the command prompt in the ml-workspace directory and create the Docker image using the following command:

docker build . -t ml_tooling/ml-workspace

Step 5: Run ML Workspace Docker Container

Run the following command to start the ML Workspace container:

docker run -it -p 8080:8080 --rm -v /var/run/docker.sock:/var/run/docker.sock \
  -v $(which docker):/usr/bin/docker ml_tooling/ml-workspace

Step 6: Access ML Workspace

Once the container is running, you can access the ML Workspace by opening a web browser and typing http://localhost:8080/ in the address bar.

Congratulations! You have successfully installed ML Workspace on Arch Linux. Start working on your machine learning projects using ML Workspace.