{"id":477828,"date":"2023-08-09T09:21:11","date_gmt":"2023-08-09T09:21:11","guid":{"rendered":""},"modified":"2023-09-05T11:15:32","modified_gmt":"2023-09-05T11:15:32","slug":"lightgbm","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/lightgbm\/","title":{"rendered":"\u30e9\u30a4\u30c8GBM"},"content":{"rendered":"

LightGBM \u306f\u3001\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u7528\u306b\u8a2d\u8a08\u3055\u308c\u305f\u5f37\u529b\u3067\u52b9\u7387\u7684\u306a\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002Microsoft \u306b\u3088\u3063\u3066\u958b\u767a\u3055\u308c\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u51e6\u7406\u3059\u308b\u969b\u306e\u901f\u5ea6\u3068\u9ad8\u6027\u80fd\u306b\u3088\u308a\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3084\u7814\u7a76\u8005\u306e\u9593\u3067\u5927\u304d\u306a\u4eba\u6c17\u3092\u535a\u3057\u3066\u3044\u307e\u3059\u3002LightGBM \u306f\u3001\u5f31\u3044\u5b66\u7fd2\u8005 (\u901a\u5e38\u306f\u6c7a\u5b9a\u6728) \u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u5f37\u529b\u306a\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u624b\u6cd5\u3067\u3042\u308b\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0 \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002\u512a\u308c\u305f\u7cbe\u5ea6\u3067\u30d3\u30c3\u30b0 \u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3067\u304d\u308b\u305f\u3081\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc \u30d3\u30b8\u30e7\u30f3\u3001\u91d1\u878d\u30e2\u30c7\u30ea\u30f3\u30b0\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u597d\u307e\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

LightGBM\u306e\u8d77\u6e90\u3068\u305d\u306e\u6700\u521d\u306e\u8a00\u53ca\u306e\u6b74\u53f2<\/h2>\n

LightGBM \u306f\u30012017 \u5e74\u306b Microsoft \u306e\u7814\u7a76\u8005\u306b\u3088\u3063\u3066\u300cLightGBM: \u975e\u5e38\u306b\u52b9\u7387\u7684\u306a\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u6c7a\u5b9a\u6728\u300d\u3068\u3044\u3046\u8ad6\u6587\u3067\u521d\u3081\u3066\u7d39\u4ecb\u3055\u308c\u307e\u3057\u305f\u3002\u3053\u306e\u8ad6\u6587\u306f\u3001Guolin Ke\u3001Qi Meng\u3001Thomas Finley\u3001Taifeng Wang\u3001Wei Chen\u3001Weidong Ma\u3001Qiwei Ye\u3001\u304a\u3088\u3073 Tie-Yan Liu \u306b\u3088\u3063\u3066\u57f7\u7b46\u3055\u308c\u307e\u3057\u305f\u3002\u3053\u306e\u753b\u671f\u7684\u306a\u7814\u7a76\u3067\u306f\u3001\u7af6\u4e89\u529b\u306e\u3042\u308b\u7cbe\u5ea6\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u52b9\u7387\u3092\u9ad8\u3081\u308b\u65b0\u3057\u3044\u65b9\u6cd5\u3068\u3057\u3066 LightGBM \u304c\u7d39\u4ecb\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n

LightGBM\u306e\u8a73\u7d30\u60c5\u5831<\/h2>\n

LightGBM \u306f\u3001\u305d\u306e\u72ec\u81ea\u306e\u6a5f\u80fd\u306b\u3088\u308a\u3001\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u306e\u5206\u91ce\u306b\u9769\u547d\u3092\u3082\u305f\u3089\u3057\u307e\u3057\u305f\u3002\u6df1\u3055\u65b9\u5411\u306e\u30c4\u30ea\u30fc\u6210\u9577\u3092\u4f7f\u7528\u3059\u308b\u5f93\u6765\u306e\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0 \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u306f\u7570\u306a\u308a\u3001LightGBM \u306f\u30ea\u30fc\u30d5\u65b9\u5411\u306e\u30c4\u30ea\u30fc\u6210\u9577\u6226\u7565\u3092\u63a1\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u306f\u3001\u5404\u30c4\u30ea\u30fc\u62e1\u5f35\u4e2d\u306b\u640d\u5931\u304c\u6700\u5927\u9650\u306b\u524a\u6e1b\u3055\u308c\u308b\u30ea\u30fc\u30d5 \u30ce\u30fc\u30c9\u304c\u9078\u629e\u3055\u308c\u3001\u30ea\u30fc\u30d5\u304c\u5c11\u306a\u304f\u3001\u3088\u308a\u6b63\u78ba\u306a\u30e2\u30c7\u30eb\u304c\u5b9f\u73fe\u3055\u308c\u307e\u3059\u3002<\/p>\n

\u3055\u3089\u306b\u3001LightGBM \u306f\u3001GOSS (Gradient-based One-Side Sampling) \u3068 EFB (Exclusive Feature Bundling) \u3068\u3044\u3046 2 \u3064\u306e\u624b\u6cd5\u306b\u3088\u3063\u3066\u30e1\u30e2\u30ea\u4f7f\u7528\u91cf\u3092\u6700\u9069\u5316\u3057\u307e\u3059\u3002GOSS \u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30bb\u30b9\u4e2d\u306b\u91cd\u8981\u306a\u52fe\u914d\u306e\u307f\u3092\u9078\u629e\u3057\u3001\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u30c7\u30fc\u30bf \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u6570\u3092\u6e1b\u3089\u3057\u307e\u3059\u3002EFB \u306f\u3001\u6392\u4ed6\u7684\u306a\u6a5f\u80fd\u3092\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u3066\u30e1\u30e2\u30ea\u3092\u5727\u7e2e\u3057\u3001\u52b9\u7387\u3092\u9ad8\u3081\u307e\u3059\u3002<\/p>\n

\u3053\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u56de\u5e30\u3001\u5206\u985e\u3001\u30e9\u30f3\u30ad\u30f3\u30b0\u3001\u63a8\u5968\u30b7\u30b9\u30c6\u30e0\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u3082\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002Python\u3001R\u3001C++ \u306a\u3069\u306e\u8907\u6570\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u67d4\u8edf\u306a API \u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u3055\u307e\u3056\u307e\u306a\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306e\u958b\u767a\u8005\u304c\u7c21\u5358\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059\u3002<\/p>\n

LightGBM\u306e\u5185\u90e8\u69cb\u9020: LightGBM\u306e\u4ed5\u7d44\u307f<\/h2>\n

LightGBM \u306f\u3001\u305d\u306e\u4e2d\u6838\u3068\u3057\u3066\u3001\u8907\u6570\u306e\u5f31\u3044\u5b66\u7fd2\u5668\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u5f37\u529b\u306a\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u5f62\u6210\u3059\u308b\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u6cd5\u3067\u3042\u308b\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u6280\u8853\u306b\u57fa\u3065\u3044\u3066\u52d5\u4f5c\u3057\u307e\u3059\u3002LightGBM \u306e\u5185\u90e8\u69cb\u9020\u306f\u3001\u6b21\u306e\u624b\u9806\u306b\u307e\u3068\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

    \n
  1. \n

    \u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/strong>: LightGBM \u3067\u306f\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u3001\u30e1\u30e2\u30ea\u4f7f\u7528\u91cf\u3092\u524a\u6e1b\u3059\u308b\u305f\u3081\u306b\u3001Dataset \u3084 DMatrix \u306a\u3069\u306e\u7279\u5b9a\u306e\u5f62\u5f0f\u3067\u30c7\u30fc\u30bf\u3092\u6574\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

  2. \n

    \u30c4\u30ea\u30fc\u69cb\u7bc9<\/strong>: \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u3001LightGBM \u306f\u30ea\u30fc\u30d5\u30ef\u30a4\u30ba \u30c4\u30ea\u30fc\u6210\u9577\u6226\u7565\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u30eb\u30fc\u30c8 \u30ce\u30fc\u30c9\u3068\u3057\u3066\u5358\u4e00\u306e\u30ea\u30fc\u30d5\u304b\u3089\u958b\u59cb\u3057\u3001\u30ea\u30fc\u30d5 \u30ce\u30fc\u30c9\u3092\u5206\u5272\u3057\u3066\u30c4\u30ea\u30fc\u3092\u53cd\u5fa9\u7684\u306b\u62e1\u5f35\u3057\u3001\u640d\u5931\u95a2\u6570\u3092\u6700\u5c0f\u5316\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

  3. \n

    \u8449\u3054\u3068\u306e\u6210\u9577<\/strong>LightGBM \u306f\u3001\u6700\u3082\u5927\u304d\u306a\u640d\u5931\u524a\u6e1b\u3092\u5b9f\u73fe\u3059\u308b\u30ea\u30fc\u30d5 \u30ce\u30fc\u30c9\u3092\u9078\u629e\u3057\u3001\u30ea\u30fc\u30d5\u306e\u6570\u304c\u5c11\u306a\u304f\u3001\u3088\u308a\u6b63\u78ba\u306a\u30e2\u30c7\u30eb\u3092\u5b9f\u73fe\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

  4. \n

    \u52fe\u914d\u30d9\u30fc\u30b9\u306e\u7247\u5074\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0 (GOSS)<\/strong>: \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u3001GOSS \u306f\u3055\u3089\u306a\u308b\u6700\u9069\u5316\u306e\u305f\u3081\u306b\u91cd\u8981\u306a\u52fe\u914d\u306e\u307f\u3092\u9078\u629e\u3059\u308b\u305f\u3081\u3001\u53ce\u675f\u304c\u901f\u304f\u306a\u308a\u3001\u904e\u5270\u9069\u5408\u304c\u6e1b\u5c11\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

  5. \n

    \u72ec\u5360\u6a5f\u80fd\u30d0\u30f3\u30c9\u30eb (EFB)<\/strong>: EFB \u306f\u5c02\u7528\u306e\u6a5f\u80fd\u3092\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u3066\u30e1\u30e2\u30ea\u3092\u7bc0\u7d04\u3057\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30bb\u30b9\u3092\u9ad8\u901f\u5316\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

  6. \n

    \u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0<\/strong>: \u5f31\u3044\u5b66\u7fd2\u8005 (\u6c7a\u5b9a\u6728) \u304c\u30e2\u30c7\u30eb\u306b\u9806\u756a\u306b\u8ffd\u52a0\u3055\u308c\u3001\u65b0\u3057\u3044\u6728\u3054\u3068\u306b\u524d\u306e\u6728\u306e\u30a8\u30e9\u30fc\u304c\u4fee\u6b63\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n

  7. \n

    \u6b63\u5247\u5316<\/strong>LightGBM \u306f\u3001\u904e\u5270\u9069\u5408\u3092\u9632\u304e\u3001\u4e00\u822c\u5316\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b L1 \u304a\u3088\u3073 L2 \u6b63\u5247\u5316\u624b\u6cd5\u3092\u63a1\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n

  8. \n

    \u4e88\u6e2c<\/strong>\u30e2\u30c7\u30eb\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u308b\u3068\u3001LightGBM \u306f\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u306e\u7d50\u679c\u3092\u52b9\u7387\u7684\u306b\u4e88\u6e2c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

    LightGBM\u306e\u4e3b\u306a\u6a5f\u80fd\u306e\u5206\u6790<\/h2>\n

    LightGBM \u306f\u3001\u305d\u306e\u5e83\u7bc4\u306a\u63a1\u7528\u3068\u6709\u52b9\u6027\u306b\u8ca2\u732e\u3059\u308b\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u6a5f\u80fd\u3092\u8a87\u308a\u307e\u3059\u3002<\/p>\n

      \n
    1. \n

      \u9ad8\u901f<\/strong>: \u30ea\u30fc\u30d5\u30ef\u30a4\u30ba\u30c4\u30ea\u30fc\u6210\u9577\u3068 GOSS \u6700\u9069\u5316\u6280\u8853\u306b\u3088\u308a\u3001LightGBM \u306f\u4ed6\u306e\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0 \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3088\u308a\u3082\u5927\u5e45\u306b\u9ad8\u901f\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

    2. \n

      \u30e1\u30e2\u30ea\u52b9\u7387<\/strong>EFB \u30e1\u30bd\u30c3\u30c9\u306f\u30e1\u30e2\u30ea\u6d88\u8cbb\u3092\u524a\u6e1b\u3057\u3001\u5f93\u6765\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u306f\u30e1\u30e2\u30ea\u306b\u53ce\u307e\u3089\u306a\u3044\u53ef\u80fd\u6027\u306e\u3042\u308b\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092 LightGBM \u3067\u51e6\u7406\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

    3. \n

      \u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3<\/strong>LightGBM \u306f\u3001\u6570\u767e\u4e07\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3068\u6a5f\u80fd\u3092\u5099\u3048\u305f\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u52b9\u7387\u7684\u306b\u51e6\u7406\u3067\u304d\u308b\u3088\u3046\u306b\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

    4. \n

      \u67d4\u8edf\u6027<\/strong>LightGBM \u306f\u3055\u307e\u3056\u307e\u306a\u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u304a\u308a\u3001\u56de\u5e30\u3001\u5206\u985e\u3001\u30e9\u30f3\u30ad\u30f3\u30b0\u3001\u63a8\u5968\u30b7\u30b9\u30c6\u30e0\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n

    5. \n

      \u6b63\u78ba\u306a\u4e88\u6e2c<\/strong>: \u8449\u3054\u3068\u306e\u30c4\u30ea\u30fc\u6210\u9577\u6226\u7565\u306f\u3001\u3088\u308a\u5c11\u306a\u3044\u8449\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n

    6. \n

      \u30ab\u30c6\u30b4\u30ea\u6a5f\u80fd\u306e\u30b5\u30dd\u30fc\u30c8<\/strong>LightGBM \u306f\u3001\u5927\u898f\u6a21\u306a\u524d\u51e6\u7406\u3092\u5fc5\u8981\u3068\u305b\u305a\u306b\u30ab\u30c6\u30b4\u30ea\u7279\u5fb4\u3092\u52b9\u7387\u7684\u306b\u51e6\u7406\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

    7. \n

      \u4e26\u884c\u5b66\u7fd2<\/strong>LightGBM \u306f\u4e26\u5217\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3001\u30de\u30eb\u30c1\u30b3\u30a2 CPU \u3092\u6d3b\u7528\u3057\u3066\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u3055\u3089\u306b\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

      \u30e9\u30a4\u30c8GBM\u306e\u7a2e\u985e<\/h2>\n

      LightGBM \u306f\u3001\u4f7f\u7528\u3055\u308c\u308b\u30d6\u30fc\u30b9\u30c8\u306e\u30bf\u30a4\u30d7\u306b\u57fa\u3065\u3044\u3066\u3001\u4e3b\u306b 2 \u3064\u306e\u30bf\u30a4\u30d7\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n

        \n
      1. \n

        \u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u30de\u30b7\u30f3 (GBM)<\/strong>: \u3053\u308c\u306f\u3001\u30ea\u30fc\u30d5\u30ef\u30a4\u30ba\u30c4\u30ea\u30fc\u6210\u9577\u6226\u7565\u306b\u3088\u308b\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u3092\u4f7f\u7528\u3059\u308b LightGBM \u306e\u6a19\u6e96\u5f62\u5f0f\u3067\u3059\u3002<\/p>\n<\/li>\n

      2. \n

        \u30c0\u30fc\u30c4<\/strong>Dart \u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u306b\u30c9\u30ed\u30c3\u30d7\u30a2\u30a6\u30c8\u30d9\u30fc\u30b9\u306e\u6b63\u898f\u5316\u3092\u5229\u7528\u3059\u308b LightGBM \u306e\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u3067\u3059\u3002\u5404\u53cd\u5fa9\u4e2d\u306b\u3044\u304f\u3064\u304b\u306e\u30c4\u30ea\u30fc\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u30c9\u30ed\u30c3\u30d7\u3059\u308b\u3053\u3068\u3067\u3001\u904e\u5270\u9069\u5408\u3092\u9632\u6b62\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

        \u4ee5\u4e0b\u306f\u3001GBM \u3068 Dart \u306e\u4e3b\u306a\u9055\u3044\u3092\u5f37\u8abf\u3057\u305f\u6bd4\u8f03\u8868\u3067\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n
        \u5074\u9762<\/th>\n\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u30de\u30b7\u30f3 (GBM)<\/th>\n\u30c0\u30fc\u30c4<\/th>\n<\/tr>\n<\/thead>\n
        \u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/td>\n\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0<\/td>\nDart \u306b\u3088\u308b\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0<\/td>\n<\/tr>\n
        \u6b63\u5247\u5316\u624b\u6cd5<\/td>\nL1\u3068L2<\/td>\n\u30c9\u30ed\u30c3\u30d7\u30a2\u30a6\u30c8\u4ed8\u304d L1 \u304a\u3088\u3073 L2<\/td>\n<\/tr>\n
        \u904e\u5270\u9069\u5408\u306e\u9632\u6b62<\/td>\n\u9069\u5ea6<\/td>\n\u30c9\u30ed\u30c3\u30d7\u30a2\u30a6\u30c8\u3067\u6539\u5584<\/td>\n<\/tr>\n
        \u6728\u306e\u526a\u5b9a<\/td>\n\u526a\u5b9a\u306a\u3057<\/td>\n\u30c9\u30ed\u30c3\u30d7\u30a2\u30a6\u30c8\u306b\u57fa\u3065\u304f\u526a\u5b9a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        LightGBM\u306e\u4f7f\u3044\u65b9\u3001\u4f7f\u7528\u4e0a\u306e\u554f\u984c\u70b9\u3068\u305d\u306e\u89e3\u6c7a\u7b56<\/h2>\n

        LightGBM \u306f\u3001\u3055\u307e\u3056\u307e\u306a\u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u306b\u53d6\u308a\u7d44\u3080\u305f\u3081\u306b\u3055\u307e\u3056\u307e\u306a\u65b9\u6cd5\u3067\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n

          \n
        1. \n

          \u5206\u985e<\/strong>: \u30b9\u30d1\u30e0\u691c\u51fa\u3001\u611f\u60c5\u5206\u6790\u3001\u753b\u50cf\u8a8d\u8b58\u306a\u3069\u306e\u30d0\u30a4\u30ca\u30ea\u307e\u305f\u306f\u30de\u30eb\u30c1\u30af\u30e9\u30b9\u306e\u5206\u985e\u554f\u984c\u306b\u306f LightGBM \u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

        2. \n

          \u56de\u5e30<\/strong>: \u4f4f\u5b85\u4fa1\u683c\u3001\u682a\u5f0f\u5e02\u5834\u306e\u4fa1\u5024\u3001\u6c17\u6e29\u306e\u4e88\u6e2c\u306a\u3069\u306e\u56de\u5e30\u30bf\u30b9\u30af\u306b LightGBM \u3092\u9069\u7528\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

        3. \n

          \u30e9\u30f3\u30ad\u30f3\u30b0<\/strong>: LightGBM \u3092\u5229\u7528\u3057\u3066\u3001\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306e\u7d50\u679c\u30e9\u30f3\u30ad\u30f3\u30b0\u3084\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3 \u30b7\u30b9\u30c6\u30e0\u306a\u3069\u306e\u30e9\u30f3\u30ad\u30f3\u30b0 \u30b7\u30b9\u30c6\u30e0\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

        4. \n

          \u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0<\/strong>LightGBM \u306f\u3001\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u63a8\u5968\u30a8\u30f3\u30b8\u30f3\u3092\u5f37\u5316\u3057\u3001\u88fd\u54c1\u3001\u6620\u753b\u3001\u307e\u305f\u306f\u97f3\u697d\u3092\u30e6\u30fc\u30b6\u30fc\u306b\u63d0\u6848\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

          \u305d\u306e\u5229\u70b9\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001LightGBM \u306e\u4f7f\u7528\u4e2d\u306b\u30e6\u30fc\u30b6\u30fc\u306f\u3044\u304f\u3064\u304b\u306e\u8ab2\u984c\u306b\u906d\u9047\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

            \n
          1. \n

            \u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/strong>: LightGBM \u306f\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u554f\u984c\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u504f\u3063\u305f\u4e88\u6e2c\u306b\u3064\u306a\u304c\u308a\u307e\u3059\u30021 \u3064\u306e\u89e3\u6c7a\u7b56\u306f\u3001\u30af\u30e9\u30b9\u306e\u91cd\u307f\u4ed8\u3051\u307e\u305f\u306f\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u624b\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u306b\u30c7\u30fc\u30bf\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u3068\u308b\u3053\u3068\u3067\u3059\u3002<\/p>\n<\/li>\n

          2. \n

            \u904e\u5b66\u7fd2<\/strong>LightGBM \u306f\u904e\u5270\u9069\u5408\u3092\u9632\u3050\u305f\u3081\u306b\u6b63\u898f\u5316\u6280\u8853\u3092\u63a1\u7528\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u30c7\u30fc\u30bf\u304c\u4e0d\u5341\u5206\u3067\u3042\u3063\u305f\u308a\u30e2\u30c7\u30eb\u304c\u8907\u96d1\u3059\u304e\u308b\u5834\u5408\u306b\u306f\u904e\u5270\u9069\u5408\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u554f\u984c\u306f\u3001\u30af\u30ed\u30b9\u691c\u8a3c\u3068\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u8abf\u6574\u306b\u3088\u3063\u3066\u8efd\u6e1b\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

          3. \n

            \u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u8abf\u6574<\/strong>: LightGBM \u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306f\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u8abf\u6574\u306b\u5927\u304d\u304f\u4f9d\u5b58\u3057\u307e\u3059\u3002\u30b0\u30ea\u30c3\u30c9\u691c\u7d22\u307e\u305f\u306f\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3092\u4f7f\u7528\u3057\u3066\u3001\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u6700\u9069\u306a\u7d44\u307f\u5408\u308f\u305b\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

          4. \n

            \u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406<\/strong>: \u30ab\u30c6\u30b4\u30ea\u7279\u5fb4\u306b\u306f\u9069\u5207\u306a\u30a8\u30f3\u30b3\u30fc\u30c9\u304c\u5fc5\u8981\u3067\u3042\u308a\u3001\u6b20\u640d\u30c7\u30fc\u30bf\u306f LightGBM \u306b\u6e21\u3059\u524d\u306b\u9069\u5207\u306b\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

            \u4e3b\u306a\u7279\u5fb4\u3068\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03<\/h2>\n

            LightGBM \u3092\u4ed6\u306e\u4e00\u822c\u7684\u306a\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0 \u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u6bd4\u8f03\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
            \u7279\u6027<\/th>\n\u30e9\u30a4\u30c8GBM<\/th>\nXG\u30d6\u30fc\u30b9\u30c8<\/th>\n\u30ad\u30e3\u30c3\u30c8\u30d6\u30fc\u30b9\u30c8<\/th>\n<\/tr>\n<\/thead>\n
            \u6a39\u6728\u306e\u6210\u9577\u6226\u7565<\/td>\n\u8449\u3054\u3068\u306b<\/td>\n\u30ec\u30d9\u30eb\u5225<\/td>\n\u5bfe\u79f0<\/td>\n<\/tr>\n
            \u30e1\u30e2\u30ea\u4f7f\u7528\u91cf<\/td>\n\u52b9\u7387\u7684<\/td>\n\u9069\u5ea6<\/td>\n\u9069\u5ea6<\/td>\n<\/tr>\n
            \u30ab\u30c6\u30b4\u30ea\u30b5\u30dd\u30fc\u30c8<\/td>\n\u306f\u3044<\/td>\n\u9650\u5b9a<\/td>\n\u306f\u3044<\/td>\n<\/tr>\n
            GPU\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30b7\u30e7\u30f3<\/td>\n\u306f\u3044<\/td>\n\u306f\u3044<\/td>\n\u9650\u5b9a<\/td>\n<\/tr>\n
            \u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9<\/td>\n\u3082\u3063\u3068\u65e9\u304f<\/td>\nLGBM\u3088\u308a\u9045\u3044<\/td>\n\u5339\u6575\u3057\u307e\u3059<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            LightGBM \u306f\u901f\u5ea6\u306e\u70b9\u3067 XGBoost \u3092\u4e0a\u56de\u308a\u307e\u3059\u304c\u3001CatBoost \u3068 LightGBM \u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306f\u6bd4\u8f03\u7684\u4f3c\u3066\u3044\u307e\u3059\u3002LightGBM \u306f\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u51e6\u7406\u3068\u30e1\u30e2\u30ea\u306e\u52b9\u7387\u7684\u306a\u5229\u7528\u306b\u512a\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u30d3\u30c3\u30b0 \u30c7\u30fc\u30bf\u306e\u30b7\u30ca\u30ea\u30aa\u3067\u306f\u597d\u307e\u3057\u3044\u9078\u629e\u80a2\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n

            LightGBM\u306b\u95a2\u9023\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u6280\u8853<\/h2>\n

            \u6a5f\u68b0\u5b66\u7fd2\u306e\u5206\u91ce\u304c\u9032\u5316\u3059\u308b\u306b\u3064\u308c\u3066\u3001LightGBM \u306f\u3055\u3089\u306a\u308b\u6539\u5584\u3068\u9032\u6b69\u3092\u9042\u3052\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u4eca\u5f8c\u306e\u958b\u767a\u306e\u53ef\u80fd\u6027\u3068\u3057\u3066\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

              \n
            1. \n

              \u5f37\u5316\u3055\u308c\u305f\u6b63\u898f\u5316\u6280\u8853<\/strong>\u7814\u7a76\u8005\u306f\u3001\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4e00\u822c\u5316\u3057\u3066\u51e6\u7406\u3059\u308b\u30e2\u30c7\u30eb\u306e\u80fd\u529b\u3092\u5f37\u5316\u3059\u308b\u305f\u3081\u306b\u3001\u3088\u308a\u6d17\u7df4\u3055\u308c\u305f\u6b63\u898f\u5316\u624b\u6cd5\u3092\u63a2\u6c42\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

            2. \n

              \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7d71\u5408<\/strong>: \u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u67d4\u8edf\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u3001\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0 \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092 LightGBM \u306a\u3069\u306e\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0 \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u7d71\u5408\u3059\u308b\u8a66\u307f\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n<\/li>\n

            3. \n

              AutoML\u7d71\u5408<\/strong>LightGBM \u306f\u81ea\u52d5\u6a5f\u68b0\u5b66\u7fd2 (AutoML) \u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306b\u7d71\u5408\u3067\u304d\u308b\u305f\u3081\u3001\u5c02\u9580\u5bb6\u4ee5\u5916\u306e\u30e6\u30fc\u30b6\u30fc\u3067\u3082\u3055\u307e\u3056\u307e\u306a\u30bf\u30b9\u30af\u306b\u305d\u306e\u30d1\u30ef\u30fc\u3092\u6d3b\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

            4. \n

              \u5206\u6563\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u30b5\u30dd\u30fc\u30c8<\/strong>LightGBM \u3092 Apache Spark \u306a\u3069\u306e\u5206\u6563\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u4e0a\u3067\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u53d6\u308a\u7d44\u307f\u306b\u3088\u308a\u3001\u30d3\u30c3\u30b0 \u30c7\u30fc\u30bf \u30b7\u30ca\u30ea\u30aa\u306e\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u304c\u3055\u3089\u306b\u5411\u4e0a\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

              \u30d7\u30ed\u30ad\u30b7\u30b5\u30fc\u30d0\u30fc\u3092LightGBM\u3067\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3084LightGBM\u3068\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5<\/h2>\n

              \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30b7\u30ca\u30ea\u30aa\u3067 LightGBM \u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306b\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

                \n
              1. \n

                \u30c7\u30fc\u30bf\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0<\/strong>: \u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u306e\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3059\u308b\u5834\u5408\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3057\u3066\u3001IP \u30d6\u30ed\u30c3\u30af\u3084\u30ec\u30fc\u30c8\u5236\u9650\u306e\u554f\u984c\u3092\u9632\u304e\u306a\u304c\u3089\u3001Web \u30b5\u30a4\u30c8\u304b\u3089\u60c5\u5831\u3092\u53ce\u96c6\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

              2. \n

                \u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u7279\u306b\u30c7\u30fc\u30bf\u4fdd\u8b77\u304c\u91cd\u8981\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3044\u3066\u3001\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u306b\u30e6\u30fc\u30b6\u30fc\u306e IP \u30a2\u30c9\u30ec\u30b9\u3092\u533f\u540d\u5316\u3059\u308b\u3053\u3068\u3067\u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u5f37\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

              3. \n

                \u5206\u6563\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0<\/strong>: \u5206\u6563\u578b\u6a5f\u68b0\u5b66\u7fd2\u306e\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u3067\u306f\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u6d3b\u7528\u3057\u3066\u30ce\u30fc\u30c9\u9593\u306e\u901a\u4fe1\u3092\u7ba1\u7406\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u5834\u6240\u3067\u306e\u5171\u540c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3092\u5bb9\u6613\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

              4. \n

                \u30ed\u30fc\u30c9\u30d0\u30e9\u30f3\u30b7\u30f3\u30b0<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u53d7\u4fe1\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u8907\u6570\u306e LightGBM \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u5206\u6563\u3057\u3001\u8a08\u7b97\u30ea\u30bd\u30fc\u30b9\u306e\u4f7f\u7528\u3092\u6700\u9069\u5316\u3057\u3066\u5168\u4f53\u7684\u306a\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

                \u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n

                LightGBM \u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

                  \n
                1. \n

                  \u516c\u5f0f LightGBM GitHub \u30ea\u30dd\u30b8\u30c8\u30ea<\/a>: LightGBM \u306e\u30bd\u30fc\u30b9 \u30b3\u30fc\u30c9\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u304a\u3088\u3073\u554f\u984c\u8ffd\u8de1\u306b\u30a2\u30af\u30bb\u30b9\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

                2. \n

                  LightGBM \u306b\u95a2\u3059\u308b Microsoft \u306e\u7814\u7a76\u8ad6\u6587<\/a>: LightGBM \u3092\u7d39\u4ecb\u3057\u305f\u30aa\u30ea\u30b8\u30ca\u30eb\u306e\u7814\u7a76\u8ad6\u6587\u3092\u8aad\u3093\u3067\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/li>\n

                3. \n

                  LightGBM \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>: \u8a73\u7d30\u306a\u4f7f\u7528\u65b9\u6cd5\u3001API \u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u3001\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u306b\u3064\u3044\u3066\u306f\u3001\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/li>\n

                4. \n

                  Kaggle\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3<\/a>: LightGBM \u304c\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u308b Kaggle \u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u3092\u63a2\u7d22\u3057\u3001\u30b5\u30f3\u30d7\u30eb\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3068\u30ab\u30fc\u30cd\u30eb\u304b\u3089\u5b66\u3073\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

                  LightGBM \u306e\u30d1\u30ef\u30fc\u3092\u6d3b\u7528\u3057\u3001\u305d\u306e\u30cb\u30e5\u30a2\u30f3\u30b9\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3084\u7814\u7a76\u8005\u306f\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5f37\u5316\u3057\u3001\u8907\u96d1\u306a\u73fe\u5b9f\u4e16\u754c\u306e\u8ab2\u984c\u306b\u53d6\u308a\u7d44\u3080\u4e0a\u3067\u306e\u7af6\u4e89\u512a\u4f4d\u6027\u3092\u7372\u5f97\u3067\u304d\u307e\u3059\u3002\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u5206\u6790\u3001\u6b63\u78ba\u306a\u4e88\u6e2c\u3001\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u63a8\u5968\u4e8b\u9805\u306a\u3069\u3001LightGBM \u306f\u5353\u8d8a\u3057\u305f\u901f\u5ea6\u3068\u52b9\u7387\u6027\u3067 AI \u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u306b\u529b\u3092\u4e0e\u3048\u7d9a\u3051\u3066\u3044\u307e\u3059\u3002<\/p>","protected":false},"featured_media":468775,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477828","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about LightGBM: Boosting Performance with Speed and Efficiency<\/mark>","faq_items":[{"question":"What is LightGBM?","answer":"

                  LightGBM is a powerful and efficient open-source machine learning library designed for gradient boosting. It is developed by Microsoft and is widely used for handling large-scale datasets with high accuracy.<\/p>"},{"question":"How did LightGBM originate?","answer":"

                  LightGBM was introduced in 2017 by Microsoft researchers in a paper titled \"LightGBM: A Highly Efficient Gradient Boosting Decision Tree.\" The paper presented LightGBM as a novel method for boosting efficiency in gradient boosting algorithms.<\/p>"},{"question":"How does LightGBM work?","answer":"

                  LightGBM operates on the gradient boosting technique with a leaf-wise tree growth strategy. It selects the leaf node with the maximum loss reduction during each tree expansion, resulting in a more accurate model with fewer leaves. The library optimizes memory usage through techniques like Gradient-based One-Side Sampling (GOSS) and Exclusive Feature Bundling (EFB).<\/p>"},{"question":"What are the key features of LightGBM?","answer":"

                  LightGBM boasts high speed, memory efficiency, scalability, and flexibility. Its leaf-wise tree growth strategy enhances predictive accuracy, and it supports various machine learning tasks, such as regression, classification, ranking, and recommendation systems.<\/p>"},{"question":"What types of LightGBM are there?","answer":"

                  LightGBM offers two main types: Gradient Boosting Machine (GBM) and Dart. GBM uses leaf-wise tree growth, while Dart includes dropout-based regularization to prevent overfitting.<\/p>"},{"question":"How can LightGBM be used?","answer":"

                  LightGBM is versatile and can be used for classification, regression, ranking, and recommendation systems. It is effective in handling large datasets and provides accurate predictions.<\/p>"},{"question":"What are the challenges in using LightGBM?","answer":"

                  Users may face challenges with imbalanced datasets, overfitting, hyperparameter tuning, and data preprocessing. However, solutions like class weights, cross-validation, and proper data handling can help mitigate these issues.<\/p>"},{"question":"How does LightGBM compare to other gradient boosting libraries?","answer":"

                  In comparison to XGBoost and CatBoost, LightGBM stands out with its faster speed and efficient memory usage. It excels in handling large datasets and offers similar performance to CatBoost.<\/p>"},{"question":"What does the future hold for LightGBM?","answer":"

                  The future of LightGBM may involve enhanced regularization techniques, integration with neural networks, AutoML support, and distributed computing capabilities to further improve its performance.<\/p>"},{"question":"How can proxy servers be associated with LightGBM?","answer":"

                  Proxy servers can be beneficial in data scraping, data privacy, distributed training, and load balancing when using LightGBM for machine learning tasks.<\/p>

                  For more detailed information, please refer to the article above.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477828","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477828\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/468775"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=477828"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}