<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Onnx on wid's blog</title><link>https://wid-blog.pages.dev/en/tags/onnx/</link><description>Recent content in Onnx on wid's blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 15 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://wid-blog.pages.dev/en/tags/onnx/index.xml" rel="self" type="application/rss+xml"/><item><title>Choosing a Model Training Framework: sklearn vs ONNX</title><link>https://wid-blog.pages.dev/en/posts/tech/ml/model-training-frameworks/</link><pubDate>Sun, 15 Feb 2026 00:00:00 +0000</pubDate><guid>https://wid-blog.pages.dev/en/posts/tech/ml/model-training-frameworks/</guid><description>sklearn and ONNX aren&amp;rsquo;t competing at the same layer. Once you separate their roles, the real question becomes &amp;lsquo;do I need an ONNX layer at all?&amp;rsquo;</description></item></channel></rss>