How to Install ML Workspace on Alpine Linux Latest

In this tutorial, we will guide you through the process of installing ML Workspace, a powerful web-based IDE for machine learning and data science, on Alpine Linux Latest.

Prerequisites

• A server or virtual machine running Alpine Linux Latest
• A user account with sudo privileges
• Basic knowledge of working with the command line

Step 1: Update Your System

Before we start with the installation of ML Workspace, it's important to update your system to the latest available packages. To do this, run the following commands:

sudo apk update
sudo apk upgrade

Step 2: Install Docker

ML Workspace requires Docker to be installed on your system. To install Docker, run the following command:

sudo apk add docker

Once Docker is installed, make sure it is running:

sudo rc-service docker start

Lastly, add your user to the 'docker' group, which allows you to run Docker commands without sudo:

sudo adduser $USER docker

Step 3: Install ML Workspace

To install ML Workspace, we will use the Docker Compose file available on the ml-tooling/ml-workspace GitHub repository. To download this file, run the following command:

curl https://raw.githubusercontent.com/ml-tooling/ml-workspace/master/docker-compose.yml --output docker-compose.yml

Next, we need to modify the Docker Compose file to work with Alpine Linux Latest. To do this, open the file in your preferred text editor and add the following lines to the top:

version: '3.4'

services:
  ml-workspace:
    image: mltooling/ml-workspace-alpine:latest
    user: root
    privileged: true
    ports:
      - "8080:8080"
    environment:
      - BASE_URL=/mlws
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - /path/to/host/folder:/workspace

Replace '/path/to/host/folder' with the path to the folder on your host system that you want to map to the workspace in the ML Workspace container.

Once you have made the necessary changes, save the file and exit your text editor.

Finally, run the following command to start ML Workspace:

sudo docker-compose up -d

Step 4: Access ML Workspace

ML Workspace is now running on your system and can be accessed in your web browser by navigating to:

http://<your-server-ip>:8080/mlws

Replace '' with the IP address of your server.

You will be prompted to enter a username and password, which are 'mlworkspace' and 'mlworkspace' respectively.

Congratulations! You have successfully installed ML Workspace on Alpine Linux Latest.

If you want to self-host in an easy, hands free way, need an external IP address, or simply want your data in your own hands, give IPv6.rs a try!

Alternatively, for the best virtual desktop, try Shells!