{"author_name":"momijiame","blog_title":"CUBE SUGAR CONTAINER","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/m/momijiame/20230124/20230124062624.png","type":"rich","categories":["LightGBM","Python"],"author_url":"https://blog.hatena.ne.jp/momijiame/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.amedama.jp%2Fentry%2Fgbdt-lr-vs-metric-and-iters\" title=\"Python: LightGBM \u306e\u5b66\u7fd2\u7387\u3068\u7cbe\u5ea6\u304a\u3088\u3073\u6700\u9069\u306a\u30a4\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3\u6570\u306e\u95a2\u4fc2\u306b\u3064\u3044\u3066 - CUBE SUGAR CONTAINER\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2023-01-25 09:42:49","url":"https://blog.amedama.jp/entry/gbdt-lr-vs-metric-and-iters","provider_url":"https://hatena.blog","title":"Python: LightGBM \u306e\u5b66\u7fd2\u7387\u3068\u7cbe\u5ea6\u304a\u3088\u3073\u6700\u9069\u306a\u30a4\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3\u6570\u306e\u95a2\u4fc2\u306b\u3064\u3044\u3066","width":"100%","description":"\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u6c7a\u5b9a\u6728 (Gradient Boosting Decision Tree; GBDT) \u3067\u306f\u3001\u4ee5\u4e0b\u304c\u7d4c\u9a13\u5247\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u308b\u3002 \u5b66\u7fd2\u7387 (Learning Rate) \u3092\u4e0b\u3052\u308b\u3053\u3068\u3067\u7cbe\u5ea6\u304c\u9ad8\u307e\u308b \u4e00\u65b9\u3067\u3001\u5b66\u7fd2\u306b\u306f\u3088\u308a\u591a\u304f\u306e\u30a4\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3\u6570 (\u2252\u6642\u9593) \u3092\u5fc5\u8981\u3068\u3059\u308b \u3057\u304b\u3057\u306a\u304c\u3089\u3001\u4e0a\u8a18\u304c\u5b9f\u969b\u306b\u5b9f\u9a13\u306a\u3069\u3067\u793a\u3055\u308c\u308b\u6a5f\u4f1a\u306f\u3055\u307b\u3069\u7121\u3044\u3088\u3046\u306b\u601d\u308f\u308c\u305f\u3002 \u305d\u3053\u3067\u3001\u4eca\u56de\u306f\u4ee3\u8868\u7684\u306a GBDT \u306e\u5b9f\u88c5\u306e\u3072\u3068\u3064\u3067\u3042\u308b LightGBM \u3068\u3001\u7591\u4f3c\u7684\u306b\u751f\u6210\u3057\u305f\u5b66\u7fd2\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u305d\u308c\u3092\u78ba\u304b\u3081\u3066\u3044\u304f\u3002 \u78ba\u304b\u3081\u308b\u5185\u5bb9\u3068\u3057\u3066\u306f\u3001\u4ee5\u4e0b\u306e\u305d\u308c\u305e\u308c\u306e\u30bf\u30b9\u30af\u3067\u5b66\u7fd2\u7387\u3092\u5909\u5316\u3055\u305b\u306a\u304c\u3089\u7cbe\u5ea6\u3068\u6700\u9069\u306a\u30a4\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3\u6570\u306e\u95a2\u4fc2\u3092\u2026","provider_name":"Hatena Blog","version":"1.0","height":"190","blog_url":"https://blog.amedama.jp/"}