{"version":"1.0","height":"190","width":"100%","blog_url":"https://lapis-zero09.hatenablog.com/","published":"2019-12-27 18:40:09","categories":[],"title":"TFX: A TensorFlow-Based Production-Scale Machine LearningPlatform \u8aad\u3093\u3060\u30e1\u30e2","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Flapis-zero09.hatenablog.com%2Fentry%2F2019%2F12%2F27%2F184009\" title=\"TFX: A TensorFlow-Based Production-Scale Machine LearningPlatform \u8aad\u3093\u3060\u30e1\u30e2 - \u30ab\u30b7\u30df\u30e4\u306e\u30cb\u30c3\u30c8\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/lapis_zero09/","author_name":"lapis_zero09","type":"rich","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","blog_title":"\u30ab\u30b7\u30df\u30e4\u306e\u30cb\u30c3\u30c8","description":"research.google Creating and maintaining a platform for reliably producingand deploying machine learning models requires careful or-chestration of many components\u2014a learner for generatingmodels based on training data, modules for analyzing and val-idating both data as well as models, and finally inf\u2026","url":"https://lapis-zero09.hatenablog.com/entry/2019/12/27/184009","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/l/lapis_zero09/20191227/20191227182553.png"}