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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>API design for machine learning software: experiences from the scikit-learn project · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1309.0238/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1309.0238/feed.xml" rel="self" type="application/rss+xml" /><item><title>API design for machine learning software: experiences from the scikit-learn project — mentioned by ZhiqiangWang</title><link>https://news.ycombinator.com/item?id=46062154</link><guid isPermaLink="false">urn:hackerpapers:mention:1309.0238:46062154</guid><pubDate>Wed, 26 Nov 2025 20:49:08 GMT</pubDate><description>&lt;p&gt;Agree, the argument is well made in sklearn API design paper https://arxiv.org/abs/1309.0238&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1309.0238/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>API design for machine learning software: experiences from the scikit-learn project — HN submission</title><link>https://news.ycombinator.com/item?id=19347859</link><guid isPermaLink="false">urn:hackerpapers:submission:1309.0238:19347859</guid><pubDate>Sat, 09 Mar 2019 19:11:46 GMT</pubDate><description>&lt;p&gt;API design for machine learning software: experiences from the sk-learn project&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1309.0238/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>API design for machine learning software: experiences from the scikit-learn project — HN submission</title><link>https://news.ycombinator.com/item?id=18516123</link><guid isPermaLink="false">urn:hackerpapers:submission:1309.0238:18516123</guid><pubDate>Fri, 23 Nov 2018 13:00:14 GMT</pubDate><description>&lt;p&gt;Show HN: Machine Learning on JVM or a piece of cake&lt;/p&gt;&lt;p&gt;Hello, people of HN. Let me first say that this post is about promoting an open source project which I&amp;#x27;ve been working on for the past 10 months or so. I&amp;#x27;m leaving it here with hopes of getting in touch with other devs who might be interested in machine learning, Scala or both. Those of you who have stumbled upon ML before will know that Python is the go-to language for data-related things. It has high-quality libraries for analysis, modeling, and visualization. scikit-learn is a notable example and for good reasons; it&amp;#x27;s well maintained, has a large community, it&amp;#x27;s performant and it has a…&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1309.0238/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
