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.
Before you can start installing ML Workspace, you must ensure the following prerequisites are met:
Proceed with the following steps to install ML Workspace on OpenBSD:
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.
ML Workspace also requires Docker Compose to be installed. Install Docker Compose with the following command:
$ pkg_add docker-compose
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
Navigate to the cloned ML Workspace folder using the following command:
$ cd 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.
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.
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.
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