Tutorial: How to Install ML Workspace on NetBSD

In this tutorial, we will show you how to install ML Workspace on NetBSD. ML Workspace is an open-source web-based workspace that enables users to work with several Machine Learning (ML) tools and frameworks through a web interface. You can find the project on Github at https://github.com/ml-tooling/ml-workspace.

Prerequisites

You will need the following to complete this tutorial:

• A NetBSD system
• A user account with root access or the ability to escalate privileges with sudo
• Git

Step 1 - Install Dependencies

First, we need to install some dependencies that ML Workspace requires. We will use pkgin to install the following packages:

sudo pkgin update
sudo pkgin install nodejs npm curl unzip

Step 2 - Clone the ML Workspace Repository

Next, we will clone the ML Workspace repository to our system. We will use the following command to clone the repository:

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

Step 3 - Install ML Workspace

Now, we will navigate to the ml-workspace directory that we cloned in step 2, and run the installation script. The installation script will download and install all the necessary dependencies.

cd ml-workspace
sudo bash install.sh

Step 4 - Access ML Workspace

ML Workspace should now be installed on your NetBSD system. To access the web interface, you can go to your browser and enter the IP address of your system followed by port 8088. For example:

http://<your-ip-address>:8088

You will be prompted to log in. The default username and password are both mluser. You will be prompted to change the password upon logging in for the first time.

Conclusion

In this tutorial, we showed you how to install ML Workspace on NetBSD. ML Workspace provides an easy-to-use web interface for Machine Learning tools and frameworks. We hope that you find this tutorial helpful. If you have any questions, please leave a comment below.

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