{"id":2331,"date":"2019-11-22T02:59:31","date_gmt":"2019-11-21T17:59:31","guid":{"rendered":"https:\/\/julialang.kr\/?p=2331"},"modified":"2019-11-22T03:00:24","modified_gmt":"2019-11-21T18:00:24","slug":"julia%ec%97%90%ec%84%9c-%ec%8b%9c%ea%b3%84%ec%97%b4-%eb%8d%b0%ec%9d%b4%ed%84%b0-%ec%b2%98%eb%a6%ac-%ec%98%88%ec%a0%9c-22","status":"publish","type":"post","link":"https:\/\/julialang.kr\/?p=2331","title":{"rendered":"Julia\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \ucc98\ub9ac \uc608\uc81c (2#2)"},"content":{"rendered":"\n<p> <a rel=\"noreferrer noopener\" href=\"https:\/\/towardsdatascience.com\/ml-approaches-for-time-series-4d44722e48fe\" target=\"_blank\">ML Approaches for Time Series<\/a>\uc744 \ucc38\uc870 \ud588\uc73c\uba70 \ud574\ub2f9 \uc790\ub8cc\ub294 python\uc73c\ub85c \uad6c\ud604 \ub418\uc5c8\ub2e4. \uc5ec\uae30\uc11c\ub294 Julia\ub85c \ubc14\uafd4\uc11c \uad6c\ud604 \ud558\uc600\ub2e4. <\/p>\n\n\n\n<ul><li>\ud2b9\ud788 Genetic Programming\uc744 \uc0ac\uc6a9\ud55c \ubd80\ubd84\uc740 \uc6d0 \uac8c\uc2dc\uae00\uc5d0\uc11c python &#8220;gplearn&#8221; \uc774\ub77c\ub294 \ub77c\uc774\ube0c\ub7ec\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0\ubd84\uc11d\uc744 \ud558\uc600\uc73c\ub098 \uc5ec\uae30\uc11c\ub294 \uc2a4\ud0e0\ud3ec\ub4dc\uc5d0\uc11c \uc81c\uacf5\ud558\ub294&nbsp;<a href=\"https:\/\/github.com\/sisl\/ExprOptimization.jl\" target=\"_blank\" rel=\"noreferrer noopener\">&#8220;ExprOptimization&#8221;<\/a>\uc774\ub77c\ub294 Julia\uc6a9 package\ub97c \uc0ac\uc6a9\ud558\uc5ec \uad6c\ud604 \ud558\uc600\ub2e4.<\/li><li>pyton Scikitlearn \ubd80\ubd84\uc740 Julia\uc6a9 Scikilearn\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub3d9\uc77c\ud558\uac8c \uad6c\ud604 \ud558\uc600\ub2e4.<\/li><li>python\uacfc julia\uc758 random number\ubc1c\uc0dd\uc2dc seed\uac00 \ub3d9\uc77c\ud558\uace0 \ub79c\ub364\ub118\ubc84 \ubc1c\uc0dd \uc54c\uace0\ub9ac\uc998\uc774 \ub3d9\uc77c\ud55c\ub370\ub3c4 \ubc1c\uc0dd\ub418\ub294 \ub79c\ub364\ub118\ubc84\uac00 \ub2ec\ub77c python numpy\ub97c PyCall\ub85c \ud638\ucd9c\ud558\uc5ec \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud558\uace0 \ub3d9\uc77c\ud55c\uc9c0 \uacb0\uacfc\uac00 \ub098\uc624\ub294\uc9c0 \uc5ec\ubd80\ub97c \uac80\ud1a0 \ud588\uc73c\uba70 \ub3d9\uc77c\ud558\uac8c \ub098\uc654\ub2e4. &#8220;predict_y_windows_with_numpy(2018)&#8221; \ubd80\ubb38 \ucc38\uc870<\/li><\/ul>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\"\uc18c\uc2a4\uad6c\ud604(Jupyter Notebook - html \ubc84\uc804) (\uc0c8\ud0ed\uc73c\ub85c \uc5f4\uae30)\" href=\"https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/MLApproachesforTimeSeries-2.html\" target=\"_blank\">\uc18c\uc2a4\uad6c\ud604(Jupyter Notebook &#8211; html \ubc84\uc804)<\/a><\/p>\n\n\n\n<div class=\"wp-block-file\"><a href=\"https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/MLApproachesforTimeSeries-2.7z\">ML+Approaches+for+Time+Series-2<\/a><a href=\"https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/MLApproachesforTimeSeries-2.7z\" class=\"wp-block-file__button\" download>\ub2e4\uc6b4\ub85c\ub4dc<\/a><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ML Approaches for Time Series\uc744 \ucc38\uc870 \ud588\uc73c\uba70 \ud574\ub2f9 \uc790\ub8cc\ub294 python\uc73c\ub85c \uad6c\ud604 \ub418\uc5c8\ub2e4. \uc5ec\uae30\uc11c\ub294 Julia\ub85c \ubc14\uafd4\uc11c \uad6c\ud604 \ud558\uc600\ub2e4. \ud2b9\ud788 Genetic Programming\uc744 \uc0ac\uc6a9\ud55c \ubd80\ubd84\uc740 \uc6d0 \uac8c\uc2dc\uae00\uc5d0\uc11c python &#8220;gplearn&#8221; \uc774\ub77c\ub294 \ub77c\uc774\ube0c\ub7ec\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0\ubd84\uc11d\uc744 \ud558\uc600\uc73c\ub098 \uc5ec\uae30\uc11c\ub294 \uc2a4\ud0e0\ud3ec\ub4dc\uc5d0\uc11c \uc81c\uacf5\ud558\ub294&nbsp;&#8220;ExprOptimization&#8221;\uc774\ub77c\ub294 Julia\uc6a9 package\ub97c \uc0ac\uc6a9\ud558\uc5ec \uad6c\ud604 \ud558\uc600\ub2e4. pyton Scikitlearn \ubd80\ubd84\uc740 Julia\uc6a9 Scikilearn\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub3d9\uc77c\ud558\uac8c \uad6c\ud604 \ud558\uc600\ub2e4. python\uacfc julia\uc758 random number\ubc1c\uc0dd\uc2dc seed\uac00 \ub3d9\uc77c\ud558\uace0 \ub79c\ub364\ub118\ubc84 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[19,20,22],"tags":[],"_links":{"self":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts\/2331"}],"collection":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2331"}],"version-history":[{"count":1,"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts\/2331\/revisions"}],"predecessor-version":[{"id":2334,"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts\/2331\/revisions\/2334"}],"wp:attachment":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2331"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2331"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2331"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}