{"author_url":"https://blog.hatena.ne.jp/akikan_llc/","provider_name":"Hatena Blog","url":"https://blog.akikan.llc/entry/2019/07/31/100116","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.akikan.llc%2Fentry%2F2019%2F07%2F31%2F100116\" title=\"MIT\u306eGen\u3092\u89e6\u3063\u3066\u307f\u307e\u3057\u305f - akikan\u5de5\u5834\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/akikan_llc/20190730/20190730181228.png","title":"MIT\u306eGen\u3092\u89e6\u3063\u3066\u307f\u307e\u3057\u305f","description":"MIT\u304c\u4f5c\u3063\u305fGen\u3092\u89e6\u3063\u3066\u307f\u307e\u3057\u305f\u3002 \u6c4e\u7528\u7684\u306a\u78ba\u7387\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u3060\u305d\u3046\u3067\u3059\u3002 \u30d4\u30f3\u3068\u304d\u3066\u3044\u306a\u3044\u306e\u3067\u89e6\u3063\u3066\u307f\u307e\u3059\u3002 dl.acm.org \u30ea\u30b0\u30ec\u30c3\u30b7\u30e7\u30f3\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u304c\u3042\u3063\u305f\u306e\u3067\u3001\u305d\u308c\u3092\u898b\u306a\u304c\u3089\u3044\u3058\u3063\u3066\u307f\u307e\u3059\u3002 probcomp.github.io Gen\u3068Pyplot\uff08\u56f3\u793a\u7528\uff09\u3092use\u3002 \u30ea\u30b0\u30ec\u30c3\u30b7\u30e7\u30f3\u7528\u306e\u30c7\u30fc\u30bf\u3092\u9069\u5f53\u306b\u5b9a\u7fa9\u3057\u307e\u3059\u3002 using Gen using PyPlot xs = [-5., -4., -3., -2., -1., 0., 1., 2., 3., 4., 5.]; ys = [6.75003, 6.1568, 4.26414, 1.84894, 3.096\u2026","type":"rich","categories":["\u6280\u8853\u8abf\u67fb"],"height":"190","version":"1.0","provider_url":"https://hatena.blog","blog_url":"https://blog.akikan.llc/","author_name":"akikan_llc","published":"2019-07-31 10:01:16","width":"100%","blog_title":"akikan\u5de5\u5834"}