<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: peepeepoopoo99</title><link>https://news.ycombinator.com/user?id=peepeepoopoo99</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 14 Apr 2026 22:43:30 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=peepeepoopoo99" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by peepeepoopoo99 in "Show HN: TabPFN v2 – A SOTA foundation model for small tabular data"]]></title><description><![CDATA[
<p>How can you train a tabular foundation model when the tabular features themselves are inherently domain-specific?  Is there some kind of preprocessing step beforehand to match the inference time features with their closest analogues in the training set?</p>
]]></description><pubDate>Fri, 10 Jan 2025 00:44:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=42651369</link><dc:creator>peepeepoopoo99</dc:creator><comments>https://news.ycombinator.com/item?id=42651369</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42651369</guid></item></channel></rss>