How to Install ML Workspace on OpenBSD

In this tutorial, we will guide you on how to install ML Workspace on OpenBSD. ML Workspace is an open-source web IDE that allows users to build, train and deploy machine learning models in a web-based environment.

Prerequisites

Before you can start installing ML Workspace, you must ensure the following prerequisites are met:

• An OpenBSD virtual or physical machine
• Root or sudo access to the machine
• 1 GB of memory or more
• A modern web browser

Installation Process

Proceed with the following steps to install ML Workspace on OpenBSD:

Step 1: Install Docker

The ML Workspace runs inside a Docker container. Therefore, you must first install Docker on your OpenBSD machine. You can follow the official Docker installation instructions here.

Step 2: Install Docker Compose

ML Workspace also requires Docker Compose to be installed. Install Docker Compose with the following command:

$ pkg_add docker-compose

Step 3: Clone ML Workspace Repository

You can download the ML Workspace source code from the GitHub repository with the following command:

$ git clone https://github.com/ml-tooling/ml-workspace.git

Step 4: Navigate to ML Workspace Folder

Navigate to the cloned ML Workspace folder using the following command:

$ cd ml-workspace

Step 5: Start ML Workspace

Execute the following command to start ML Workspace:

$ docker-compose up -d

This command will start the ML Workspace container in the background.

Accessing ML Workspace

Once ML Workspace is up and running, you can access it by opening your web browser and navigating to http://localhost or the IP address of your OpenBSD machine on port 8080.

You should now have successfully installed ML Workspace on OpenBSD.

Conclusion

In this tutorial, you learned how to install ML Workspace on OpenBSD using Docker and Docker Compose. You can now begin building, training, and deploying machine learning models in a web-based environment.