{"id":442,"date":"2026-01-30T15:13:32","date_gmt":"2026-01-30T12:13:32","guid":{"rendered":"https:\/\/www.datuskola.lv\/?p=442"},"modified":"2026-01-30T15:34:19","modified_gmt":"2026-01-30T12:34:19","slug":"masinmacisnas-bez-koda-nekustama-ipasuma-darijumu-vertibu-paredzesana","status":"publish","type":"post","link":"https:\/\/www.datuskola.lv\/index.php\/2026\/01\/30\/masinmacisnas-bez-koda-nekustama-ipasuma-darijumu-vertibu-paredzesana\/","title":{"rendered":"Ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s bez koda: Nekustam\u0101 \u012bpa\u0161uma dar\u012bjumu v\u0113rt\u012bbu paredz\u0113\u0161ana"},"content":{"rendered":"\n<p>Vakar viesoj\u0101mies Valsts zemes dienest\u0101 (VZD), kur p\u0101rraid\u012bj\u0101m demonstr\u0101ciju \u201cno-code\u201d risin\u0101jumam, k\u0101 ar uzraudz\u012bt\u0101s ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s pal\u012bdz\u012bbu uztren\u0113t modeli, kas prognoz\u0113 dz\u012bvok\u013cu dar\u012bjuma cenu. Izmantoj\u0101m <a href=\"https:\/\/data.gov.lv\/dati\/lv\/dataset\/darijumi-ar-telpu-grupam\">VZD atv\u0113rtos datus<\/a> par dar\u012bjumiem ar telpu grup\u0101m p\u0113d\u0113jos desmit gados. Datu kopa bija liela, t\u0101p\u0113c Aivis atlas\u012bja tikai dar\u012bjumus C\u0113su novad\u0101. T\u0101du bija vair\u0101k nek\u0101 1\u2019400.<\/p>\n\n\n\n<p><a href=\"https:\/\/orangedatamining.com\/\">Orange<\/a> ir uz Python balst\u012bts bezmaksas atv\u0113rt\u0101 koda vizu\u0101l\u0101s programm\u0113\u0161anas r\u012bks, kas \u013cauj \u0101tri un interakt\u012bvi izp\u0113t\u012bt datus, sagatavot datu kopu t\u0101l\u0101kai anal\u012bzei un pielietot gatavus ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s algoritmus. Skan lieliski, ta\u010du r\u012bka galvenais tr\u016bkums ir veiktsp\u0113ja. Aivis b\u016btiski samazin\u0101ja analiz\u0113jamo ierakstu skaitu, lai r\u012bks \u201cneuzkaras\u201d.<\/p>\n\n\n\n<p>No otras puses, Aivis paskaidroja, ka datu daudzums nav iz\u0161\u0137iro\u0161ais krit\u0113rijs, lai izveidotu prec\u012bzu modeli. Tikpat svar\u012bga ir izpratne par analiz\u0113jamajiem datiem un tas, cik pateic\u012bga datu kopa ir mode\u013cu tren\u0113\u0161anai. \u0160\u012b iemesla d\u0113\u013c pirmais solis bija izprast datus un tikt va\u013c\u0101 no main\u012bgajiem (features), kas sav\u0101 starp\u0101 p\u0101r\u0101k korel\u0113 jeb ir mijsakar\u012bgi (j\u0101, Aivis iem\u0101c\u012bja mums jaunu v\u0101rdu). Izr\u0101d\u0101s \u0161\u0101di main\u012bgie da\u017eiem uzraudz\u012bt\u0101s ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s mode\u013ciem nepat\u012bk. T\u0101pat tik\u0101m va\u013c\u0101 no b\u016btiskiem izlec\u0113jiem (outliers). Piem\u0113ram, datu kop\u0101 bija viens dar\u012bjums par 10 eiro un viens par vair\u0101k nek\u0101 300\u2019000 eiro. Abus \u0161os dar\u012bjumus Aivis iz\u0146\u0113ma, lai neietekm\u0113tu mode\u013ca precizit\u0101ti.&nbsp;<\/p>\n\n\n\n<p>P\u0113c datu sagatavo\u0161anas, Aivis tos sadal\u012bja div\u0101s kop\u0101s &#8211; tren\u0113\u0161anas un test\u0113\u0161anas kop\u0101s. \u0160o sadali viegli veic Orange \u201c<em>vid\u017eets<\/em>\u201d jeb gatava funkcija. Tad Aivis ar viegl\u0101m peles kust\u012bb\u0101m piesl\u0113dza vair\u0101kus uzraudz\u012bt\u0101s ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s mode\u013cu vid\u017eetus &#8211; line\u0101ro regresiju, \u201cRandom forest\u201d, neironu t\u012bklu un citus. Galvenais bija saprast, cik prec\u012bzi mode\u013ci sp\u0113ja paredz\u0113t dar\u012bjuma summas. To pal\u012bdz\u0113ja izprast vair\u0101ki valid\u0101cijas r\u0101d\u012bt\u0101ji, da\u017eus no kuriem Aivis izskaidroja (video s\u0101kot ar 53. min\u016bti). Piem\u0113ram, Aivis paskaidroja, ka RMSE, ko ieg\u016bst izvelkot kvadr\u0101tsakni no MSE r\u0101d\u012bt\u0101ja, ir \u201cskarb\u0101ks\u201d k\u013c\u016bdas noteik\u0161an\u0101 nek\u0101 MAE, ko ieg\u016bst no dar\u012bjuma v\u0113rt\u012bbas at\u0146emot prognoz\u0113to v\u0113rt\u012bbu un apr\u0113\u0137inot vid\u0113jo aritm\u0113tisko no ieg\u016btaj\u0101m absol\u016btaj\u0101m starp\u012bb\u0101m.<\/p>\n\n\n\n<p>Rezult\u0101t\u0101 uztren\u0113tais modelis sal\u012bdzino\u0161i prec\u012bzi paredz\u0113ja divus no \u010detriem dar\u012bjumiem, ko Aivis ievietoja paredz\u0113\u0161anas kop\u0101. Diez ko prec\u012bzi nesan\u0101ca.&nbsp;<\/p>\n\n\n\n<p>Ta\u010du precizit\u0101ti katrs var m\u0113\u0123in\u0101t uzlabot pats, izv\u0113loties atbilsto\u0161\u0101kos dar\u012bjuma v\u0113rt\u012bbu ietekm\u0113jo\u0161os main\u012bgos un ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s mode\u013cus. Aivis sagatavoja <a href=\"https:\/\/drive.google.com\/drive\/folders\/1XU5uCnyNr2MHLqwSAaFI0kUrDiLH7H8q?usp=sharing\">Google Drive mapi<\/a>, kur\u0101 ir gatavi Orange projektu faili un sagatavotie dati. Demonstr\u0101cijas video ieraksts pieejams YouTube: https:\/\/youtu.be\/sR4yHNXvBWY<\/p>\n\n\n\n<iframe width=\"1024\" height=\"768\" src=\"https:\/\/www.youtube.com\/embed\/sR4yHNXvBWY?si=K_ATze-UeDim2Ohe\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\"><\/iframe>\n\n\n\n<p><\/p>\n\n\n\n<p>Dodiet mums zi\u0146u, k\u0101 jums veic\u0101s.&nbsp;<\/p>\n\n\n\n<p>Pateicamies VZD par atbalstu. Uz tik\u0161anos n\u0101kamaj\u0101s domapmai\u0146\u0101s un demonstr\u0101cij\u0101s! Sekojiet l\u012bdzi zi\u0146\u0101m par n\u0101kotnes pas\u0101kumiem m\u016bsu <a href=\"https:\/\/www.facebook.com\/datuskola\">Facebook<\/a> un <a href=\"https:\/\/x.com\/datuskola\">X<\/a> kontos.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Vakar viesoj\u0101mies Valsts zemes dienest\u0101 (VZD), kur p\u0101rraid\u012bj\u0101m demonstr\u0101ciju \u201cno-code\u201d risin\u0101jumam, k\u0101 ar uzraudz\u012bt\u0101s ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s pal\u012bdz\u012bbu uztren\u0113t modeli, kas prognoz\u0113 dz\u012bvok\u013cu dar\u012bjuma cenu. Izmantoj\u0101m VZD atv\u0113rtos datus par dar\u012bjumiem ar telpu grup\u0101m p\u0113d\u0113jos desmit gados. Datu kopa bija liela, t\u0101p\u0113c Aivis atlas\u012bja tikai dar\u012bjumus C\u0113su novad\u0101. T\u0101du bija vair\u0101k nek\u0101 1\u2019400. Orange ir uz Python [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":443,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[14,11,15,16,17],"tags":[],"_links":{"self":[{"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/posts\/442"}],"collection":[{"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/comments?post=442"}],"version-history":[{"count":8,"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/posts\/442\/revisions"}],"predecessor-version":[{"id":451,"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/posts\/442\/revisions\/451"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/media\/443"}],"wp:attachment":[{"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/media?parent=442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/categories?post=442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datuskola.lv\/index.php\/wp-json\/wp\/v2\/tags?post=442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}