ML Workspace is an open-source web-based IDE developed by ml-tooling designed specifically for machine learning and data science. In this tutorial, we will go through step by step process of how to install ML Workspace on Fedora Server latest.
Before start on installation process of ML Workspace on Fedora Server, ensure that you have the following prerequisites already installed on your system:
To clone the repository that contains the necessary files for ML Workspace, open the terminal and execute the following command:
git clone https://github.com/ml-tooling/ml-workspace.git
After cloning the repository, use the following command to move to the ML Workspace directory:
cd ml-workspace
Now, build the Docker image using the following command:
docker build -t ml_workspace .
This process may take several minutes to complete. After the build is complete, the new Docker image with the name ml_workspace will be generated on your system.
Once the Docker image is successfully built, you can use the following command to start your ML Workspace container:
docker run -d -p 8080:8080 -v /var/run/docker.sock:/var/run/docker.sock -v "$(pwd):/workspace/$(pwd | sed 's/.*\///g')" --privileged=true ml_workspace
Here, we are using the docker run command to start the container with the -d option (to run the container in the background), -p option (to publish the container's port), -v option (to mount a volume to the container), and --privileged=true option (to run the container in privileged mode).
With the container running, you can access the ML Workspace UI in your web browser by going to:
http://<SERVER_IP_ADDRESS>:8080/
Replace <SERVER_IP_ADDRESS> with the IP address of your Fedora Server. Once you’ve navigated to this URL, you will see the ML Workspace UI and can start working with your machine learning models and data science projects.
In this tutorial, we have learned how to install ML Workspace on Fedora Server latest. Now, you can use ML Workspace for all of your machine learning and data science projects.
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