How to Install ML Workspace on Elementary OS Latest

ML Workspace is an all-in-one web-based IDE specialized in machine learning and data science. In this tutorial, we are going to guide you on how to install ML Workspace on your Elementary OS Latest system.

Prerequisites

• You must have Elementary OS Latest installed on your system.
• You need to have a user account with sudo privileges.

Step 1: Install Docker

ML Workspace is distributed as a Docker container, so the first step is to install Docker on your system. Use the following command to download and install Docker:

sudo apt-get update
sudo apt-get install -y docker.io

After installing Docker, start and enable it to run at system boot time:

sudo systemctl start docker
sudo systemctl enable docker

To verify if Docker is installed successfully and running, use:

sudo docker version

Step 2: Install ML Workspace

1. Clone the ML Workspace repository using the following command:

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

2. Navigate to the cloned directory:

   cd ml-workspace
   

3. Build the Docker image for ML Workspace:

   sudo docker build -t ml-workspace .
   

   This command builds the Docker image and tags it as ml-workspace.

4. Once the image is built, start the image and map the container port 8080 to your host system port:

   sudo docker run -it --rm -p 8080:8080 ml-workspace
   

   This command runs the Docker image in interactive mode, removes the container when the process is complete, and maps the container port 8080 to the host’s port 8080.

5. Once the container is running, open your favorite web browser and visit http://localhost:8080. This will redirect you to the login page of ML Workspace.

6. By default, the username and password are mluser and mluser123, respectively. Enter these and click on Sign-in.

7. Congratulations! You have successfully installed and used ML Workspace on your Elementary OS Latest system.

Conclusion

ML Workspace provides a web-based integrated development environment specialized in machine learning and data science. Following the above steps, you should be able to get it up and running on your Elementary OS system without any issues.

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