{"id":871,"date":"2024-07-15T21:40:34","date_gmt":"2024-07-15T12:40:34","guid":{"rendered":"https:\/\/www.mindware-jp.com\/en\/?p=871"},"modified":"2024-08-25T13:54:25","modified_gmt":"2024-08-25T04:54:25","slug":"som-as-a-platform-for-ensembles-of-multi-machine-learning-models","status":"publish","type":"post","link":"http:\/\/www.mindware-jp.com\/ja\/2024\/07\/15\/som-as-a-platform-for-ensembles-of-multi-machine-learning-models\/","title":{"rendered":"\u8907\u6570\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u306e\u305f\u3081\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3068\u3057\u3066\u306eSOM"},"content":{"rendered":"\n

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\u307e\u305a\u6700\u521d\u306b\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u3066\u3001\u305d\u306e\u6b8b\u5dee\u30922\u756a\u76ee\u306e\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u65b0\u3057\u3044\u30bf\u30fc\u30b2\u30c3\u30c8\u5c5e\u6027\u3068\u3057\u3066\u7528\u3044\u308b\u3002\u305f\u3060\u3057\u30012\u756a\u76ee\u304a\u3088\u3073 \u305d\u306e\u5f8c\u306e\u56de\u5e30\u30e2\u30c7\u30eb\u306f\u3001SOM\u306e\u5404\u30ce\u30fc\u30c9\u3067\u69cb\u7bc9\u3055\u308c\u308b\u3002\u5404\u30ce\u30fc\u30c9\u306b\u53d7\u5bb9\u91ce\u304c\u8a2d\u5b9a\u3055\u308c\u3001\u30ce\u30fc\u30c9\u304b\u3089\u306e\u8ddd\u96e2\u306b\u5fdc\u3058\u3066\u91cd\u307f\u304c\u6e1b\u3058\u3089\u308c\u306a\u304c\u3089\u30c7\u30fc\u30bf\u30ec\u30b3\u30fc\u30c9\u304c\u53ce\u96c6\u3055\u308c\u308b\u3002\u307e\u305f\u3001\u5404\u5c5e\u6027\u306e\u975e\u7dda\u5f62\u6027\u304c\u8a3a\u65ad\u3055\u308c\u3001\u305d\u308c\u306b\u5fdc\u3058\u3066\u5c5e\u6027\u306e\u91cd\u307f\u3065\u3051\u304c\u66f4\u65b0\u3055\u308c\u308b\u3002\u7d50\u679c\u3068\u3057\u3066\u3001SOM\u30ed\u30fc\u30ab\u30eb\u56de\u5e30\u6cd5\u306f\u30011000\u500b\u4ee5\u4e0a\u306e\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u306e\u3088\u3046\u306a\u9ad8\u5ea6\u306a\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u624b\u6cd5\u304c2003\u5e74\u306b\u958b\u767a\u3055\u308c\u305f\u3053\u3068\u306f\u3001\u3058\u3064\u306b\u9a5a\u7570\u7684\u3067\u3042\u308b\u3002 Google\u3084Amazon\u3001Microsoft\u306e\u3088\u3046\u306a\u4f01\u696d\u304c\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u5e02\u5834\u306b\u53c2\u5165\u3057\u3066\u304d\u305f\u306e\u305a\u3063\u3068\u5f8c\u306e\u3053\u3068\u3067\u3042\u308a\u3001Viscovery\u306f\u5e02\u5834\u3088\u308a\u30822\u6b69\u30823\u6b69\u3082\u5148\u306b\u9032\u3093\u3067\u3044\u305f\u3002\u7387\u76f4\u306b\u8a00\u3063\u3066\u3001 Viscovery\u306e\u30d3\u30b8\u30cd\u30b9\u304c\u305d\u308c\u307b\u3069\u6210\u529f\u3057\u305f\u3068\u306f\u8a00\u3048\u306a\u3044\u30022000\u5e74\u4ee3\u306b\u4e00\u6642\u7684\u306b\u6210\u529f\u306f\u3057\u305f\u3082\u306e\u306e\u30012010\u5e74\u9803\u304b\u3089\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u5e02\u5834\u304c\u52e2\u3044\u3065\u3044\u3066\u304b\u3089\u306f\u3001Python\u3092\u6a19\u6e96\u3068\u3059\u308b\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u30c8\u30ec\u30f3\u30c9\u304b\u3089\u306f\u53d6\u308a\u6b8b\u3055\u308c\u305f\u611f\u306f\u5426\u3081\u306a\u3044\u3002<\/p>\n\n\n\n

\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30b9\u3067\u306f\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u304c Python \u3067\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u3092\u81ea\u7531\u306b\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3067\u304d\u308b\u304c\u3001Viscovery \u306f\u81ea\u52d5\u5316\u3055\u308c\u305f\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u65e9\u671f\u306b\u63d0\u4f9b\u3059\u308b\u3053\u3068\u3067\u5148\u8d70\u308a\u3057\u3001\u7d50\u679c\u3068\u3057\u3066\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u304c\u56fa\u5b9a\u3055\u308c\u3066\u3057\u307e\u3063\u305f\u3002\u3057\u304b\u3057\u3001SOM \u30ed\u30fc\u30ab\u30eb\u56de\u5e30\u6cd5\u306f\u3001SOM \u3092\u4f7f\u7528\u3059\u308b\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u624b\u6cd5\u306e\u5f37\u56fa\u306a\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u5b9a\u7fa9\u3057\u3001\u6642\u4ee3\u3092\u8d85\u3048\u305f\u624b\u6cd5\u3068\u3057\u3066\u6b8b\u3063\u3066\u3044\u308b\u3002\uff08\u3053\u306e\u624b\u6cd5\u306f\u3001\u4e16\u754c\u6700\u5927\u306e\u81ea\u52d5\u8eca\u30e1\u30fc\u30ab\u30fc\u3067\u9577\u5e74\u63a1\u7528\u3055\u308c\u7d9a\u3051\u3066\u3044\u308b\u3053\u3068\u3067\u5b9f\u7528\u6027\u304c\u8a3c\u660e\u3055\u308c\u3066\u3044\u308b\u3002\uff09<\/p>\n\n\n\n

\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0<\/h3>\n\n\n\n

\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0\u306f\u3001\u6700\u3082\u9ad8\u5ea6\u3067\u6709\u671b\u306a\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u30fb\u30c6\u30af\u30cb\u30c3\u30af\u3067\u3042\u308b\u3068\u8003\u3048\u3089\u308c\u308b\u3002\u6a5f\u68b0\u5b66\u7fd2\u306b\u306f\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u30e2\u30c7\u30eb\uff08CBM: Gradient Boosting Models\uff09\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08NN: Neural networks\uff09\u3001\u56e0\u6570\u5206\u89e3\u30de\u30b7\u30f3\u30fb\u30e2\u30c7\u30eb\uff08FM: Factorization Machines Models\uff09\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\uff08SVM: Support Vector Machines\uff09\u3001\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\uff08LR: Logistic Regression\uff09\u306a\u3069 \u3055\u307e\u3056\u307e\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3042\u308b\u3002\u6700\u521d\u306b\u3001\u305d\u308c\u3089\u3092\u5225\u3005\u306b\u7528\u3044\u3066\u4e88\u6e2c\u3092\u884c\u3044\u3001\u6b21\u306b\u305d\u308c\u3089\u306e\u4e88\u6e2c\u7d50\u679c\u3092\u65b0\u3057\u3044\u5165\u529b\u3068\u3057\u3066\u7528\u3044\u3066\u3001\u30e1\u30bf\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u3002<\/p>\n\n\n\n

\u3064\u307e\u308a\u3001\u30e1\u30bf\u30e2\u30c7\u30eb\u306f\u3001\u591a\u6570\u306e\u5358\u4e00\u30e2\u30c7\u30eb\u304b\u3089\u306e\u4e88\u6e2c\u7d50\u679c\u306e\u591a\u6b21\u5143\u30c7\u30fc\u30bf\u7a7a\u9593\u3067\u306e\u30d1\u30bf\u30fc\u30f3\u3092\u5b66\u7fd2\u3057\u3001\u72b6\u6cc1\u306b\u5fdc\u3058\u3066\u6700\u826f\u306e\u4e88\u6e2c\u7d50\u679c\u3092\u63a1\u7528\u3059\u308b\u80fd\u529b\u3092\u7372\u5f97\u3059\u308b\u3002\u6211\u3005\u306f\u3001\u3053\u306e\u30e1\u30bf\u30e2\u30c7\u30eb\u306bSOM\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3092\u63d0\u6848\u3059\u308b\u3002\u30d0\u30ae\u30f3\u30b0\u306e\u3068\u3053\u308d\u3067\u8aac\u660e\u3057\u305f\u3088\u3046\u306b\u3001SOM\u306f\u5c40\u6240\u7a7a\u9593\u3067\u306e\u5404\u30e2\u30c7\u30eb\u306e\u6b63\u78ba\u3055\u3084\u8aa4\u7b54\u7387\u3092\u8b58\u5225\u3067\u304d\u308b\u306e\u3067\u3001\u5404\u30e2\u30c7\u30eb\u304c\u9069\u5207\u306a\u3068\u3053\u308d\u3067\u4f7f\u7528\u3067\u304d\u3001\u6700\u826f\u306e\u6027\u80fd\u3092\u9054\u6210\u3067\u304d\u308b\u3002 \u305f\u3068\u3048\u308b\u306a\u3089\u3001\u500b\u6027\u3042\u3075\u308c\u308b\u30c8\u30c3\u30d7\u30fb\u30a2\u30a4\u30c9\u30eb\u7d1a\u306e\u500b\u4eba\u3092\u96c6\u3081\u3066\u30b0\u30eb\u30fc\u30d7\u3092\u7d50\u6210\u3057\u305f\u3088\u3046\u306a\u3082\u306e\u3067\u3001\u5404\u30e1\u30f3\u30d0\u30fc\u306f\u305d\u308c\u305e\u308c\u304c\u6700\u3082\u8f1d\u304f\u30d1\u30fc\u30c8\u3092\u6b4c\u3046\u3088\u3046\u306a\u3082\u306e\u3060\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u30ce\u30fc\u30b3\u30fc\u30c9\u30fb\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u6a5f\u68b0\u5b66\u7fd2\u306e\u52a0\u901f<\/h3>\n\n\n\n

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Viscovery SOMine \u304c\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e2d\u6838\u3068\u306a\u308b\u305f\u3081\u306e\u6761\u4ef6\u306f\u3059\u3067\u306b\u6574\u3063\u3066\u3044\u308b\u3002\u500b\u5225\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u7c21\u5358\u306b\u69cb\u7bc9\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3002\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001GUI \u74b0\u5883\u3067\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306e\u30c4\u30fc\u30eb\u3082\u7c21\u5358\u306b\u63d0\u4f9b\u3067\u304d\u308b\u3002\u3053\u308c\u3089\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u3068\u30c6\u30b9\u30c8\u7d50\u679c\u3092\u53ce\u96c6\u3057\u3001Viscovery SOMine \u3067\u30e1\u30bf\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u306e\u306f\u7c21\u5358\u3060\u3002\u3053\u308c\u306f\u73fe\u5728\u3067\u3082\u53ef\u80fd\u3060\u304c\u3001\u5c06\u6765\u7684\u306b\u306f Viscovery SOMine \u304c\u3053\u306e\u95a2\u9023\u6a5f\u80fd\u3092\u62e1\u5f35\u3059\u308b\u3053\u3068\u304c\u5927\u3044\u306b\u671f\u5f85\u3055\u308c\u308b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5178\u578b\u7684\u306a\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30fb\u30b3\u30fc\u30b9\u3067\u306f\u3001\u81ea\u5df1\u7d44\u7e54\u5316\u30de\u30c3\u30d7\uff08SOM: Self-Organizing Maps\uff09\u306f\u3001\u30c7\u30fc\u30bf\u53ef\u8996\u5316\u3001\u6b21\u5143\u524a\u6e1b\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u304a\u3088\u3073\u63a2\u7d22\u7684\u30c7\u30fc\u30bf\u5206\u6790\u306e\u624b\u6cd5\u3068\u3057\u3066\u7d39\u4ecb\u3055\u308c\u308b\u3002\u3042\u307e\u308a\u306b\u305f\u304f\u3055\u3093\u306e\u76ee\u7684\u3067 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[22],"class_list":["post-871","post","type-post","status-publish","format-standard","hentry","category-data-science","tag-ensemble-model"],"_links":{"self":[{"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/posts\/871","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/comments?post=871"}],"version-history":[{"count":8,"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/posts\/871\/revisions"}],"predecessor-version":[{"id":1031,"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/posts\/871\/revisions\/1031"}],"wp:attachment":[{"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/media?parent=871"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/categories?post=871"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.mindware-jp.com\/ja\/wp-json\/wp\/v2\/tags?post=871"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}