{"version":"1.0","provider_name":"Hatena Blog","title":"\u6c17\u306b\u306a\u308bPython\u30e9\u30a4\u30d6\u30e9\u30ea 2019.9.1","width":"100%","blog_url":"https://pandazx.hatenablog.com/","url":"https://pandazx.hatenablog.com/entry/2019/09/01/101605","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpandazx.hatenablog.com%2Fentry%2F2019%2F09%2F01%2F101605\" title=\"\u6c17\u306b\u306a\u308bPython\u30e9\u30a4\u30d6\u30e9\u30ea 2019.9.1 - pandazx&#39;s blog\" 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":null,"type":"rich","author_name":"pandazx","provider_url":"https://hatena.blog","categories":["python"],"published":"2019-09-01 10:16:05","blog_title":"pandazx's blog","author_url":"https://blog.hatena.ne.jp/pandazx/","description":"HungaBunga Brute-Force all sklearn models with all parameters using .fit .predict! https://github.com/ypeleg/HungaBunga Causal ML Uplift modeling and causal inference with machine learning algorithms. https://github.com/uber/causalml Grover Grover is a model for Neural Fake News -- both generation a\u2026"}