In this tutorial, we will guide you through the process of installing and running ML Workspace on OpenSUSE Latest.
Before we begin, please make sure that you have the following prerequisites:
The first step is to install Docker on your system. Docker is a containerization platform that allows you to isolate your applications from the underlying system. You can install Docker using the command below:
sudo zypper install docker
After installing Docker, start the Docker service and enable it to start at boot time using the following command:
sudo systemctl enable docker.service
sudo systemctl start docker.service
Now you can proceed with installing ML Workspace. The easiest way to install ML Workspace is to use the provided script.
First, clone the ML Workspace repository using the command below:
git clone https://github.com/ml-tooling/ml-workspace.git
Then, navigate to the ml-workspace directory:
cd ml-workspace
You can now run the installation script using the command below:
./scripts/setup_local.sh
This command will download and install all the necessary components required for running ML Workspace, including Docker images.
After the installation is complete, you can access ML Workspace by opening a web browser and navigating to http://localhost:8080. You will be redirected to the login page, where you can enter the username and password you provided during the installation.
In this tutorial, we explained how to install and run ML Workspace on OpenSUSE Latest. ML Workspace is a powerful tool for data scientists and machine learning professionals who need an easily accessible and configurable environment for their development and experimentation.
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