{"id":478047,"date":"2023-08-09T09:26:29","date_gmt":"2023-08-09T09:26:29","guid":{"rendered":""},"modified":"2023-09-05T11:15:58","modified_gmt":"2023-09-05T11:15:58","slug":"model-monitoring","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/model-monitoring\/","title":{"rendered":"\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1"},"content":{"rendered":"<p>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc740 \ud504\ub85c\ub355\uc158 \ud658\uacbd\uc5d0 \ubc30\ud3ec\ub41c \uae30\uacc4 \ud559\uc2b5(ML) \ubaa8\ub378\uc744 \uc8fc\uc2dc\ud558\ub294 \ud504\ub85c\uc138\uc2a4\ub97c \uc758\ubbf8\ud569\ub2c8\ub2e4. \uc774\ub294 \uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \ubaa8\ub378\uc774 \uc608\uc0c1\ub300\ub85c \uacc4\uc18d \uc791\ub3d9\ud558\ub3c4\ub85d \ubcf4\uc7a5\ud558\uc5ec \ub370\uc774\ud130 \ub610\ub294 \ubaa8\ub378 \ub3d9\uc791\uc5d0 \ubb38\uc81c\uac00 \uc788\uc74c\uc744 \ub098\ud0c0\ub0bc \uc218 \uc788\ub294 \ubcc0\uacbd \uc0ac\ud56d\uc774\ub098 \uc774\uc0c1 \ud604\uc0c1\uc744 \uc2dd\ubcc4\ud569\ub2c8\ub2e4. \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc758 \ud544\uc694\uc131\uc740 \ub04a\uc784\uc5c6\uc774 \ubcc0\ud654\ud558\ub294 \ub370\uc774\ud130\uc758 \ud2b9\uc131\uacfc \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc7a0\uc7ac\uc801 \ub4dc\ub9ac\ud504\ud2b8\ub85c \uc778\ud574 \ubc1c\uc0dd\ud558\uba70, \uc774\ub85c \uc778\ud574 \uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \ubaa8\ub378 \uc131\ub2a5\uc774 \uc800\ud558\ub429\ub2c8\ub2e4.<\/p>\n<h2>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc758 \uc720\ub798\uc640 \ucd5c\ucd08 \uc5b8\uae09\uc758 \uc5ed\uc0ac<\/h2>\n<p>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc740 \uc2e4\uc81c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \uae30\uacc4 \ud559\uc2b5 \ubc0f \uc778\uacf5 \uc9c0\ub2a5(AI)\uc774 \uc131\uc7a5\ud558\uba74\uc11c \ub4f1\uc7a5\ud588\uc2b5\ub2c8\ub2e4. \ubaa8\ub2c8\ud130\ub9c1 \ubaa8\ub378\uc758 \ucd08\uae30 \uac1c\ub150\uc740 \uc5f0\uad6c\uc790\ub4e4\uc774 \uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \ubaa8\ub378 \uc131\ub2a5\uc744 \uc720\uc9c0\ud558\ub294 \uac83\uc758 \uc911\uc694\uc131\uc744 \uae68\ub2eb\uae30 \uc2dc\uc791\ud55c 1990\ub144\ub300 \ud6c4\ubc18\uacfc 2000\ub144\ub300 \ucd08\ubc18\uc73c\ub85c \uac70\uc2ac\ub7ec \uc62c\ub77c\uac11\ub2c8\ub2e4.<\/p>\n<p>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc744 \uc704\ud55c \ucd5c\ucd08\uc758 \uc804\uc6a9 \uc194\ub8e8\uc158\uc740 \ube45\ub370\uc774\ud130\uc758 \ud3ed\ubc1c\uc801\uc778 \uc99d\uac00\uc640 \ub2e4\uc591\ud55c \uc0b0\uc5c5 \ubd84\uc57c\uc758 ML \ubaa8\ub378 \ucc44\ud0dd \uc99d\uac00\uc640 \ub3d9\uc2dc\uc5d0 2010\ub144\ub300 \uc911\ubc18\uc5d0 \uac1c\ubc1c\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc815\ubcf4: \uc8fc\uc81c \ud655\uc7a5<\/h2>\n<p>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc5d0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uba87 \uac00\uc9c0 \uc8fc\uc694 \ud65c\ub3d9\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\uc131\ub2a5 \ubaa8\ub2c8\ud130\ub9c1<\/strong>: \ubaa8\ub378\uc774 \uc6d0\ud558\ub294 \uc815\ud655\ub3c4\uc640 \uae30\ud0c0 \uc131\ub2a5 \uc9c0\ud45c\ub97c \uacc4\uc18d\ud574\uc11c \ub2ec\uc131\ud558\ub294\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ub370\uc774\ud130 \ub4dc\ub9ac\ud504\ud2b8 \uac10\uc9c0<\/strong>: \ubaa8\ub378\uc5d0 \ubd80\uc815\uc801\uc778 \uc601\ud5a5\uc744 \ubbf8\uce60 \uc218 \uc788\ub294 \uae30\ubcf8 \ub370\uc774\ud130 \ubd84\ud3ec\uc758 \ubcc0\ud654\ub97c \uad00\ucc30\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc774\uc0c1 \ud0d0\uc9c0<\/strong>: \uc608\uce21\uc774 \uac11\uc790\uae30 \uae09\uc99d\ud558\uac70\ub098 \ud558\ub77d\ud558\ub294 \ub4f1 \uc608\uc0c1\uce58 \ubabb\ud55c \ub3d9\uc791\uc744 \uc2dd\ubcc4\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uacf5\uc815\uc131 \ubaa8\ub2c8\ud130\ub9c1<\/strong>: \ubaa8\ub378\uc774 \uc5ec\ub7ec \uadf8\ub8f9\uc5d0 \uac78\uccd0 \ud3b8\ud5a5\ub41c \ub3d9\uc791\uc744 \ub098\ud0c0\ub0b4\uc9c0 \uc54a\ub294\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc790\uc6d0 \ud65c\uc6a9<\/strong>: \ud6a8\uc728\uc801\uc778 \uc6b4\uc601\uc744 \ubcf4\uc7a5\ud558\uae30 \uc704\ud574 \uc804\uc0b0 \uc790\uc6d0\uc744 \ucd94\uc801\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc758 \ub0b4\ubd80 \uad6c\uc870: \uc791\ub3d9 \ubc29\uc2dd<\/h2>\n<p>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc740 \ub370\uc774\ud130 \uc218\uc9d1, \ubd84\uc11d \ubc0f \uacbd\uace0\uc758 \uc870\ud569\uc744 \ud1b5\ud574 \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc791\ub3d9\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li><strong>\ub370\uc774\ud130 \uc218\uc9d1<\/strong>: \ubaa8\ub378 \uc608\uce21, \uc785\ub825, \ucd9c\ub825 \ub4f1\uc5d0 \ub300\ud55c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ubd84\uc11d<\/strong>: \uc218\uc9d1\ub41c \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ub4dc\ub9ac\ud504\ud2b8, \uc774\uc0c1 \ub610\ub294 \uc131\ub2a5 \uc800\ud558\ub97c \uc2dd\ubcc4\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uacbd\uace0<\/strong>: \ubb38\uc81c\uac00 \ubc1c\uacac\ub418\uba74 \ucc45\uc784\uc790\uc5d0\uac8c \uc54c\ub9bd\ub2c8\ub2e4.<\/li>\n<li><strong>\ud589\ub3d9<\/strong>: \ubaa8\ub378 \uc7ac\uad50\uc721, \uc785\ub825 \ub370\uc774\ud130 \uc870\uc815 \ub4f1\uc758 \uc218\uc815 \uc870\uce58\ub97c \ucde8\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc758 \uc8fc\uc694 \ud2b9\uc9d5 \ubd84\uc11d<\/h2>\n<ul>\n<li><strong>\uc2e4\uc2dc\uac04 \ubd84\uc11d<\/strong>: \uc9c0\uc18d\uc801\uc778 \ubaa8\ub2c8\ud130\ub9c1 \ubc0f \uc54c\ub9bc.<\/li>\n<li><strong>\uc790\ub3d9\ud654\ub41c \uc791\uc5c5 \ud750\ub984<\/strong>: \uae30\uc874 \ud30c\uc774\ud504\ub77c\uc778\uc5d0 \ud1b5\ud569\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ud655\uc7a5\uc131<\/strong>: \ub2e8\uc77c \ubaa8\ub378 \ub610\ub294 \ubcf5\uc7a1\ud55c \uc559\uc0c1\ube14\uacfc \ud568\uaed8 \uc791\ub3d9\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud574\uc11d \uac00\ub2a5\uc131<\/strong>: \ubaa8\ub378 \ub3d9\uc791 \ubc0f \uc131\ub2a5\uc5d0 \ub300\ud55c \ud1b5\ucc30\ub825\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \uc720\ud615<\/h2>\n<table>\n<thead>\n<tr>\n<th>\uc720\ud615<\/th>\n<th>\uc124\uba85<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\uc131\ub2a5 \ubaa8\ub2c8\ud130\ub9c1<\/td>\n<td>\uc804\ubc18\uc801\uc778 \ubaa8\ub378 \uc815\ud655\ub3c4 \ubc0f \uc9c0\ud45c\uc5d0 \uc911\uc810\uc744 \ub461\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\ub370\uc774\ud130 \ub4dc\ub9ac\ud504\ud2b8 \ubaa8\ub2c8\ud130\ub9c1<\/td>\n<td>\uae30\ubcf8 \ub370\uc774\ud130\uc758 \ubcc0\uacbd \uc0ac\ud56d\uc744 \uac10\uc9c0\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uc774\uc0c1 \ubaa8\ub2c8\ud130\ub9c1<\/td>\n<td>\ubaa8\ub378 \uc608\uce21\uc5d0\uc11c \uc608\uc0c1\uce58 \ubabb\ud55c \ub3d9\uc791\uc744 \ucc3e\uc2b5\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uacf5\uc815\uc131 \ubaa8\ub2c8\ud130\ub9c1<\/td>\n<td>\ud3b8\uacac \uc5c6\ub294 \ubaa8\ub378 \uc131\ub2a5 \ubcf4\uc7a5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \ud65c\uc6a9 \ubc29\ubc95, \ubb38\uc81c \ubc0f \ud574\uacb0 \ubc29\ubc95<\/h2>\n<ul>\n<li><strong>\uc0ac\uc6a9 \ubc29\ubc95<\/strong>: \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc740 \uae08\uc735, \ud5ec\uc2a4\ucf00\uc5b4, \ub9ac\ud14c\uc77c \ub4f1\uc758 \uc0b0\uc5c5\uc5d0 \uc801\uc6a9 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ubb38\uc81c<\/strong>: \uc7a0\uc7ac\uc801\uc778 \ubb38\uc81c\uc5d0\ub294 \ud22c\uba85\uc131 \ubd80\uc871, \ubcf5\uc7a1\uc131, \ub370\uc774\ud130 \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638 \ubb38\uc81c \ub4f1\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/li>\n<li><strong>\uc194\ub8e8\uc158<\/strong>: \uac15\ub825\ud55c \ubaa8\ub2c8\ud130\ub9c1 \uad00\ud589\uc744 \uad6c\ud604\ud558\uace0, \uaddc\uc815\uc744 \uc900\uc218\ud558\uace0, \ud574\uc11d \uac00\ub2a5\ud55c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uba74 \uc774\ub7ec\ud55c \ubb38\uc81c\ub97c \uc644\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\uc8fc\uc694 \ud2b9\uc9d5 \ubc0f \uae30\ud0c0 \ube44\uad50<\/h2>\n<ul>\n<li><strong>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uacfc \uae30\uc874 \ubaa8\ub2c8\ud130\ub9c1 \ube44\uad50<\/strong>: \uae30\uc874 IT \ubaa8\ub2c8\ud130\ub9c1\uacfc \ub2ec\ub9ac \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc740 \ud2b9\ud788 ML \ubaa8\ub378\uc758 \ub3d9\uc791\uacfc \uc131\ub2a5\uc5d0 \uc911\uc810\uc744 \ub461\ub2c8\ub2e4.<\/li>\n<li><strong>\uc8fc\uc694 \ud2b9\uc9d5<\/strong>: \uc2e4\uc2dc\uac04 \ubd84\uc11d, \uc790\ub3d9\ud654\ub41c \uc6cc\ud06c\ud50c\ub85c, \ud655\uc7a5\uc131 \ubc0f \ud574\uc11d \uac00\ub2a5\uc131.<\/li>\n<\/ul>\n<h2>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uacfc \uad00\ub828\ub41c \ubbf8\ub798\uc758 \uad00\uc810\uacfc \uae30\uc220<\/h2>\n<p>XAI(Explainable AI), autoML, \ubd84\uc0b0\ud615 \ubaa8\ub378 \uad50\uc721\uacfc \uac19\uc740 \uc0c8\ub85c\uc6b4 \uae30\uc220\uc774 \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc758 \ubbf8\ub798\ub97c \ud615\uc131\ud560 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4. \uc790\ub3d9\ud654, \uc5f0\ud569 \ud559\uc2b5, \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1\uc740 \uc55e\uc73c\ub85c\ub3c4 \uacc4\uc18d\ud574\uc11c \ud544\uc218\uc801\uc77c \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h2>\ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uacfc \uc0ac\uc6a9\ud558\uac70\ub098 \uc5f0\uacb0\ud558\ub294 \ubc29\ubc95<\/h2>\n<p>OneProxy\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \uac83\uacfc \uac19\uc740 \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc740 \uc6a9\ub3c4\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\ubbfc\uac10\ud55c \uc815\ubcf4\ub97c \ub178\ucd9c\ud558\uc9c0 \uc54a\uace0 \ubaa8\ub2c8\ud130\ub9c1\ud560 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud569\ub2c8\ub2e4.<\/li>\n<li>\ub2e4\uc591\ud55c \ubaa8\ub378 \uc5d4\ub4dc\ud3ec\uc778\ud2b8\uc5d0 \ub300\ud55c \uc694\uccad\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uad00\ub9ac\ud569\ub2c8\ub2e4.<\/li>\n<li>\ubaa8\ub378 \ubc0f \ubaa8\ub2c8\ud130\ub9c1 \ub3c4\uad6c\uc5d0 \ub300\ud55c \uc548\uc804\ud558\uace0 \ud1b5\uc81c\ub41c \uc561\uc138\uc2a4\ub97c \ubcf4\uc7a5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<ul>\n<li><a href=\"https:\/\/cloud.google.com\/ai-platform\/prediction\/docs\/monitoring\" target=\"_new\" rel=\"noopener nofollow\">Google\uc758 \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \uac00\uc774\ub4dc<\/a><\/li>\n<li><a href=\"https:\/\/www.oreilly.com\/library\/view\/monitoring-machine-learning\/9781098115777\/\" target=\"_new\" rel=\"noopener nofollow\">O&#039;Reilly\uc758 \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \ubd81<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/kr\/\" target=\"_new\" rel=\"noopener\">OneProxy\uc758 \ud504\ub85d\uc2dc \uc194\ub8e8\uc158<\/a><\/li>\n<\/ul>\n<p>\ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1\uc774\ub77c\ub294 \uc8fc\uc81c\ub294 \uae30\uc220\uacfc \uc774\ud574\uc758 \ubc1c\uc804\uc5d0 \ub530\ub77c \uacc4\uc18d \uc9c4\ud654\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. OneProxy\uc640 \uac19\uc740 \ud504\ub85d\uc2dc \uc11c\ubc84\uc640\uc758 \uc5f0\uacb0\uc740 \uae30\uc874 IT \uc194\ub8e8\uc158\uc774 \uc5b4\ub5bb\uac8c \ucd5c\ucca8\ub2e8 AI\uc640 \uc5f0\uacc4\ub418\uc5b4 \ud6a8\uc728\uc131, \ubcf4\uc548 \ubc0f \ucc45\uc784\uac10 \uc788\ub294 \ubaa8\ub378 \ubc30\ud3ec\ub97c \ubcf4\uc7a5\ud560 \uc218 \uc788\ub294\uc9c0 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>","protected":false},"featured_media":468935,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478047","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Model Monitoring<\/mark>","faq_items":[{"question":"What is model monitoring?","answer":"<p>Model monitoring refers to the process of continuously observing and analyzing machine learning models once they are deployed in a production environment. It ensures that the models perform as expected over time, identifying any changes or anomalies that could affect their accuracy and behavior.<\/p>"},{"question":"How did model monitoring originate?","answer":"<p>Model monitoring emerged with the rise of machine learning and artificial intelligence in real-world applications. The concept started gaining attention in the late 1990s and early 2000s, with dedicated solutions developed in the mid-2010s.<\/p>"},{"question":"What does model monitoring involve?","answer":"<p>Model monitoring involves activities such as performance monitoring, data drift detection, anomaly detection, fairness monitoring, and resource utilization tracking.<\/p>"},{"question":"How does model monitoring work internally?","answer":"<p>Model monitoring works through data collection, analysis, and alerting. It collects data on model predictions, inputs, and outputs, analyzes it to detect any issues, and alerts responsible parties if necessary.<\/p>"},{"question":"What are the key features of model monitoring?","answer":"<p>The key features of model monitoring include real-time analysis, automated workflow integration, scalability for single models or ensembles, and interpretability to understand model behavior.<\/p>"},{"question":"What types of model monitoring exist?","answer":"<p>There are several types of model monitoring, including performance monitoring, data drift monitoring, anomaly monitoring, and fairness monitoring.<\/p>"},{"question":"How can model monitoring be used in different industries?","answer":"<p>Model monitoring finds applications in various industries, including finance, healthcare, retail, and more, to ensure that ML models maintain optimal performance.<\/p>"},{"question":"What are the potential problems with model monitoring?","answer":"<p>Some potential problems include lack of transparency, complexity, and data privacy concerns.<\/p>"},{"question":"How can these problems be solved?","answer":"<p>Implementing robust monitoring practices, complying with regulations, and using interpretable models can address these issues.<\/p>"},{"question":"What technologies may shape the future of model monitoring?","answer":"<p>Emerging technologies like explainable AI (XAI), autoML, and decentralized model training are expected to influence the future of model monitoring.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/478047","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/478047\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/468935"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=478047"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}