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.
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) ...
...
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.
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.
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!
