{"id":36846,"date":"2025-12-01T08:27:40","date_gmt":"2025-12-01T07:27:40","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/is-there-a-reproducible-way-to-quantify-dataset-drift-over-time\/"},"modified":"2025-12-01T08:27:40","modified_gmt":"2025-12-01T07:27:40","slug":"is-there-a-reproducible-way-to-quantify-dataset-drift-over-time","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/is-there-a-reproducible-way-to-quantify-dataset-drift-over-time\/","title":{"rendered":"Is There A Reproducible Way To Quantify Dataset Drift Over Time?"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I track daily extractions from several sources. Every month, something shifts &#8211; structure, language, or value ranges &#8211; and my models subtly degrade. I\u2019d like a numeric drift score for datasets, not just ML features. Something that captures schema changes + statistical shifts + missing field ratios in one metric. Has anyone attempted that? What would your formula look like?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Vivid_Stock5288\"> \/u\/Vivid_Stock5288 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1pb5w44\/is_there_a_reproducible_way_to_quantify_dataset\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1pb5w44\/is_there_a_reproducible_way_to_quantify_dataset\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-36846 jlk' href='javascript:void(0)' data-task='like' data-post_id='36846' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-36846 lc'>0<\/span><\/a><\/div><\/div> <div class='status-36846 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I track daily extractions from several sources. Every month, something shifts &#8211; structure, language, or value ranges&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-36846","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/36846","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=36846"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/36846\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=36846"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=36846"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=36846"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}