<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Zikani Nyirenda Mwase on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/zikani-mwase/</link><description>Articles written by Zikani Nyirenda Mwase on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 10 Feb 2026 06:51:50 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/zikani-mwase/index.xml" rel="self" type="application/rss+xml"/><item><title>Machine Learning in Java - SPAM detection using ONNX</title><link>https://foojayio.github.io/website/today/machine-learning-based-spam-detection-using-onnx-in-java/</link><pubDate>Tue, 10 Feb 2026 06:51:50 +0000</pubDate><guid>https://foojayio.github.io/website/today/machine-learning-based-spam-detection-using-onnx-in-java/</guid><description>&lt;p&gt;Believe it or not, it is possible to do Machine Learning in Java. In this article I go over how to implement a Spring Boot API for Spam Detection using an advanced anti-spam model from the &lt;a href="https://huggingface.co/onnx-community/models" target="_blank" rel="noopener noreferrer"&gt;Hugging Face onnx-community&lt;/a&gt;
 and Microsoft&amp;rsquo;s &lt;a href="https://onnxruntime.ai/docs/get-started/with-java.html" target="_blank" rel="noopener noreferrer"&gt;ONNX Runtime for Java&lt;/a&gt;
.&lt;/p&gt;
&lt;p&gt;We will package the API up as a Docker image which we can run a container from using docker or podman, and I guess in theory you could deploy on your Kubernetes cluster, if you (are) fancy.&lt;/p&gt;</description></item></channel></rss>