{"published":"2019-06-28 13:00:31","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/u/upura/20190628/20190628125318.png","height":"190","author_name":"upura","provider_name":"Hatena Blog","version":"1.0","width":"100%","categories":["Kaggle","python"],"provider_url":"https://hatena.blog","url":"https://upura.hatenablog.com/entry/2019/06/28/130031","author_url":"https://blog.hatena.ne.jp/upura/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fupura.hatenablog.com%2Fentry%2F2019%2F06%2F28%2F130031\" title=\"Microsoft/interpret \u3067 Kaggle titanic - u++\u306e\u5099\u5fd8\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://upura.hatenablog.com/","title":"Microsoft/interpret \u3067 Kaggle titanic","description":"\u6b21\u306e\u30c4\u30a4\u30fc\u30c8\u3092\u898b\u304b\u3051\u3066\u8208\u5473\u3092\u6301\u3063\u305f\u306e\u3067\u3001\u53d6\u308a\u3042\u3048\u305a\u4f7f\u3063\u3066\u307f\u307e\u3057\u305f\u3002\u4f7f\u3044\u65b9\u306fGitHub\u306eREADME\u306b\u8a18\u8f09\u304c\u3042\u308a\u307e\u3059\u304c\u3001sklearn\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3068\u540c\u69d8\u306b fit -> predict \u3057\u307e\u3059\u3002Microsoft\u304c\u3001\u89e3\u91c8\u6027\u304c\u9ad8\u304f\u304b\u3064\u7cbe\u5ea6\u3082\u9ad8\u3044Boosting\u306e\u30e2\u30c7\u30eb(Explainable Boosting Machine=EBM)\u3092OSS\u3067\u516c\u958b\u3002LIME\u3084SHAP\u3068\u3044\u3063\u305f\u89e3\u91c8\u3092\u884c\u3046\u305f\u3081\u306e\u624b\u6cd5\u3082\u642d\u8f09\u3057\u3066\u304a\u308a\u3001\u30e2\u30c7\u30eb\u306e\u6319\u52d5\u3082\u7c21\u5358\u306b\u53ef\u8996\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002https://t.co/ghQuLwTNCj\u2014 piqcy (@icoxfog417) June 27, 2019 Kaggle Kern\u2026","type":"rich","blog_title":"u++\u306e\u5099\u5fd8\u9332"}