In this tutorial, we will guide you through the installation process of ML Workspace, a powerful open-source platform for machine learning development, on NixOS, the Linux distribution designed to manage dependencies in a declarative way.
Before we install ML Workspace, we need to make sure that all required dependencies are installed on the system. To do so, open your terminal and run the following command:
sudo nix-env -iA nixpkgs.curl nixpkgs.docker nixpkgs.docker-compose
This command will install Curl, Docker, and Docker Compose on your system.
Now, let's clone the ML Workspace repository from Github using the following command:
git clone https://github.com/ml-tooling/ml-workspace.git
This command will clone the repository to your current directory.
Next, we need to build the ML Workspace docker image. Change directory to the cloned repository using the following command:
cd ml-workspace/
And then run the following command to build the image:
sudo docker-compose build
This command will build the image based on the configuration specified in the docker-compose.yml file.
After the build is completed, we can now start the ML Workspace container. Run the following command:
sudo docker-compose up -d
This command will start the container in detached mode, so you can continue to use your terminal.
Now that the container is running, we can access the ML Workspace web interface by opening a web browser and navigating to http://localhost:3000.
You should now see the ML Workspace interface, and you can start working with it.
In this tutorial, we have shown you how to install ML Workspace on NixOS Latest. Now, you're ready to use ML Workspace to develop and run your machine learning projects.
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