{"provider_url":"https://hatena.blog","width":"100%","url":"https://fits.hatenablog.com/entry/2015/04/27/210343","blog_title":"\u306a\u3093\u3068\u306a\u304f\u306a Developer \u306e\u30e1\u30e2","type":"rich","categories":["Java","Scala","GLM","Spark"],"published":"2015-04-27 21:03:43","image_url":null,"author_url":"https://blog.hatena.ne.jp/fits/","title":" Apache Spark \u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30","height":"190","version":"1.0","description":"\u4ee5\u524d \u203b \u306b R \u3084 Julia \u3067\u8a66\u3057\u305f\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u3092 Apache Spark \u306e MLlib \uff08Machine Learning Library\uff09 \u3092\u4f7f\u3063\u3066\u5b9f\u65bd\u3057\u3066\u307f\u307e\u3057\u305f\u3002 Apache Spark MLlib 1.3.1 \u30b5\u30f3\u30d7\u30eb\u30bd\u30fc\u30b9\u306f http://github.com/fits/try_samples/tree/master/blog/20150427/ \u203b\u300c R \u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30 - glm, MCMCpack \u300d\u3001\u300c Julia \u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30-glm \u300d \u306f\u3058\u3081\u306b R \u306e\u6642\u3068\u540c\u3058\u30c7\u30fc\u30bf\u3092\u4f7f\u3044\u307e\u3059\u304c\u3001\u30d8\u30c3\u30c0\u30fc\u884c\u3092\u524a\u9664\u3057\u3066\u3044\u307e\u3059\u3002\uff08\u300cR \u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30 \u2026","author_name":"fits","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ffits.hatenablog.com%2Fentry%2F2015%2F04%2F27%2F210343\" title=\" Apache Spark \u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30 - \u306a\u3093\u3068\u306a\u304f\u306a Developer \u306e\u30e1\u30e2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","blog_url":"https://fits.hatenablog.com/"}