{"id":1777,"date":"2019-08-29T09:00:09","date_gmt":"2019-08-29T00:00:09","guid":{"rendered":"http:\/\/idealive.jp\/blog\/?p=1777"},"modified":"2019-08-27T20:20:00","modified_gmt":"2019-08-27T11:20:00","slug":"scikit-learn","status":"publish","type":"post","link":"https:\/\/idealive.jp\/blog\/2019\/08\/29\/scikit-learn\/","title":{"rendered":"scikit-learn"},"content":{"rendered":"

Python\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002
\n\u4e0b\u8a18\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5099\u3048\u3066\u3044\u307e\u3059\u3002
\n\u5206\u985e\uff08classification\uff09\u30fb\u56de\u5e30regression\uff09\u30fb\u90e8\u5206\u96c6\u5408\u306b\u5206\u5272\uff08clustering\uff09\u30fb\u305d\u306e\u4ed6<\/p>\n

\u3010\u5206\u985e\uff08classification\uff09\u3011
\n\u30c7\u30fc\u30bf\u3092\u5b66\u7fd2\u3057\u3066\u3069\u306e\u30af\u30e9\u30b9\u304b\u3092\u5224\u5b9a\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002
\n\uff08\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\uff09
\n\u30c7\u30fc\u30bf\u91cf\u30fb\u30c7\u30fc\u30bf\u5f62\u5f0f\u306b\u3088\u3063\u3066\u4f7f\u3044\u5206\u3051\u308b\u4e0b\u8a18\u306e\u624b\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002
\n\u300cSGD\uff08stochastic gradient descent\uff09\/\u30ab\u30fc\u30cd\u30eb\u8fd1\u4f3c\/Linear SVC\/k\u8fd1\u508d\u6cd5\/\u305d\u306e\u4ed6\u300d<\/p>\n

\u3010\u56de\u5e30\uff08regression\uff09\u3011
\n\u30c7\u30fc\u30bf\u3092\u3082\u3068\u306b\u3001\u76ee\u7684\u5024\u3092\u4e88\u6e2c\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002
\n\uff08\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\uff09
\n\u30c7\u30fc\u30bf\u91cf\u30fb\u30c7\u30fc\u30bf\u5f62\u5f0f\u306b\u3088\u3063\u3066\u4f7f\u3044\u5206\u3051\u308b\u4e0b\u8a18\u306e\u624b\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002
\n\u300cSGD\uff08stochastic gradient descent\uff09\u30fbASSO\u3001ElasticNet\u30fbRidge\u3001Liner SVR\u30fbSVR\uff08\u30ac\u30a6\u30b9\u30ab\u30fc\u30cd\u30eb\uff09\u3001Ensemble\u300d<\/p>\n

\u3010\u90e8\u5206\u96c6\u5408\u306b\u5206\u5272\uff08clustering\uff09\u3011
\n\u3044\u30c7\u30fc\u30bf\u3092\u5b66\u7fd2\u3057\u3066\u6cd5\u5247\u306b\u5247\u3063\u3066\u5206\u3051\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002
\n\uff08\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\uff09
\n\u30c7\u30fc\u30bf\u91cf\u30fb\u30c7\u30fc\u30bf\u5f62\u5f0f\u306b\u3088\u3063\u3066\u4f7f\u3044\u5206\u3051\u308b\u4e0b\u8a18\u306e\u624b\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002
\n\u300cKMeans\u30fb\u30b9\u30da\u30af\u30c8\u30e9\u30eb\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3001GMM\u30fbMeanShift\u3001VBGMM\u300d<\/p>\n

\uff0a\uff0a\uff0a
\n\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u25bc
\n\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u3067\u306f\u30c7\u30fc\u30bf\u3068\u6b63\u89e3\u30e9\u30d9\u30eb\u306e2\u3064\u306e\u60c5\u5831\u304c\u6e21\u3055\u308c\u307e\u3059\u3002
\n\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u304b\u3089\u300c\u3053\u306e\u30c7\u30fc\u30bf\u306e\u6b63\u89e3\u306f\u3053\u306e\u30e9\u30d9\u30eb\u3067\u3042\u3063\u305f\u300d\u3068\u3044\u3046\u30d1\u30bf\u30fc\u30f3\u3092\u898b\u3064\u3051\u51fa\u3057\u3066\u3001\u6b63\u89e3\u30e9\u30d9\u30eb\u306e\u306a\u3044\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u3082\u305d\u308c\u3092\u4e88\u6e2c\u3059\u308b\u3082\u306e\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u25bc
\n\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u306f\u6b63\u89e3\u30e9\u30d9\u30eb\u306e\u306a\u3044\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u3001\u305d\u306e\u6027\u8cea\u306b\u898f\u5247\u6027\u3092\u767a\u898b\u3059\u308b\u3088\u3046\u306a\u624b\u6cd5\u306b\u306a\u308a\u307e\u3059\u3002
\n\uff0a\uff0a\uff0a<\/p>\n

\u3068\u3001\u8a00\u3063\u305f\u611f\u3058\u306b\u69d8\u3005\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u7528\u610f\u3055\u308c\u3066\u304a\u308a\u7528\u9014\u306b\u3088\u3063\u3066\u4f7f\u3044\u5206\u3051\u308b\u3068\u3044\u3063\u305f\u611f\u3058\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6d41\u308c\u306f
\n\u4ee5\u524d\u3082\u7d39\u4ecb\u3057\u305f\u3053\u3068\u306e\u3042\u308b\u300cpandas\u300d\u3084\u300cnumpy\u300d\u3092\u5229\u7528\u3057\u3066\u30c7\u30fc\u30bf\u6574\u5f62\u3092\u884c\u3046\u3002
\n\u305d\u306e\u6574\u5f62\u3057\u305f\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066
\nscikit-learn\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u3044\u304f\u3068\u3044\u3063\u305f\u6d41\u308c\u306b\u306a\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\u7a2e\u985e\u304c\u304b\u306a\u308a\u3042\u308b\u305f\u3081\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u968f\u6642\u8abf\u3079\u3066\u52c9\u5f37\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\u4e0b\u8a18\u306e\u30da\u30fc\u30b8\u3067\u8272\u3005\u3068\u30b5\u30f3\u30d7\u30eb\u3092\u8f09\u305b\u3089\u308c\u3066\u3044\u305f\u306e\u3067\u4e0b\u8a18\u3092\u53c2\u7167\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002
\nhttps:\/\/qiita.com\/ishizakiiii\/items\/0650723cc2b4eef2c1cf<\/a>
\n\uff08\u8a18\u4e8b\u3001\u53e4\u3044\u305f\u3081\u66f8\u304d\u65b9\u7b49\u306f\u30d0\u30fc\u30b8\u30e7\u30f3\u3088\u3063\u3066\u7570\u306a\u308b\u304b\u3082\u3067\u3059\uff09<\/p>\n

\u6a5f\u68b0\u5b66\u7fd2\u3092\u5c11\u3057\u52c9\u5f37\u3057\u3066\u3044\u307e\u3057\u305f\u304c\u3001\u7a2e\u985e\u304c\u591a\u304f\u4f55\u304b\u76ee\u7684\u3092\u3082\u3063\u3066\u8abf\u3079\u306a\u3044\u3068\u60c5\u5831\u304c\u591a\u3059\u304e\u308b\u306a\u3041\u3068\u5370\u8c61\u3092\u53d7\u3051\u307e\u3057\u305f\u3002
\n\u7b97\u51fa\u65b9\u6cd5\u3082\u30c7\u30fc\u30bf\u306b\u3088\u3063\u3066\u7570\u306a\u3063\u3066\u304f\u308b\u306e\u3067\u6b21\u56de\u8abf\u3079\u308b\u6a5f\u4f1a\u304c\u3042\u308c\u3070\u76ee\u7684\u3092\u660e\u78ba\u306b\u3057\u3066\u30d4\u30f3\u30dd\u30a4\u30f3\u30c8\u3067\u8abf\u3079\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3057\u305f\u3002<\/p>\n

\u4ee5\u4e0a\u3001Python\u300cscikit-learn\u300d\u306b\u3064\u3044\u3066\u3067\u3057\u305f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

Python\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002 \u4e0b\u8a18\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5099\u3048\u3066\u3044\u307e\u3059\u3002 \u5206\u985e\uff08classification\uff09\u30fb\u56de\u5e30regression\uff09\u30fb\u90e8\u5206\u96c6\u5408\u306b\u5206\u5272\uff08clustering\uff09\u30fb\u305d\u306e\u4ed6 \u3010\u5206\u985e\uff08clas…\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":7,"featured_media":1778,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1777","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts\/1777"}],"collection":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/comments?post=1777"}],"version-history":[{"count":3,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts\/1777\/revisions"}],"predecessor-version":[{"id":1781,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts\/1777\/revisions\/1781"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/media\/1778"}],"wp:attachment":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/media?parent=1777"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/categories?post=1777"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/tags?post=1777"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}