ML Workspace on Clear Linux

Introduction

In this tutorial, we will guide you through installing ML Workspace on Clear Linux. ML Workspace is a free and open-source web-based platform that helps data scientists, machine learning engineers, and researchers to organize their work and workflow, conduct experiments, and collaborate with colleagues.

Prerequisites

A running instance of Clear Linux.
An active internet connection.
Administrative access to install software packages.

Step 1: Install Docker

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

sudo swupd bundle-add containers-basic

This command will download and install the containers-basic package, which includes Docker.

Verify that Docker is installed and running by running the following command:

sudo systemctl status docker

If Docker is installed and running, you should see output similar to:

● docker.service - Docker Application Container Engine
    Loaded: loaded (/usr/lib/systemd/system/docker.service; disabled; vendor preset: disabled)
    Active: active (running) ...
    ...

Step 2: Install ML Workspace

To install ML Workspace, follow these steps:

Clone the ML Workspace repository from GitHub by running the following command:
```
git clone https://github.com/ml-tooling/ml-workspace.git
```
Navigate to the cloned directory:
```
cd ml-workspace
```
Create a .env file by copying the template file:
```
cp .env-template .env
```
Edit the .env file as necessary to set the configuration options.
Start the installation process by running the following command:
```
docker-compose up -d
```
Verify that the installation was successful by visiting http://localhost:8080 in a web browser.

Conclusion

Congratulations! You have successfully installed ML Workspace on Clear Linux. You can now use this web-based platform to manage and execute your machine learning workflows.