{"provider_name":"Hatena Blog","provider_url":"https://hatena.blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/d/derwind/20190109/20190109013800.png","version":"1.0","height":"190","type":"rich","published":"2019-01-09 01:38:43","url":"https://randommemory.hatenablog.com/entry/2019/01/09/013843","categories":["Python","machine_learning"],"blog_url":"https://randommemory.hatenablog.com/","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","author_url":"https://blog.hatena.ne.jp/derwind/","description":"ppn.fit(X_train_std, y_train) \u306e\u90e8\u5206\u3092python - Is it possible to get test scores for each iteration of MLPClassifier? - Stack Overflow\u3092\u53c2\u8003\u306b\u66f8\u304d\u63db\u3048\u3066 scores_train = [] for _ in range(40): ppn.partial_fit(X_train_std, y_train, np.unique(y_train)) scores_train.append(ppn.score(X_train_std, y_train)) fig, ax = p\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2019%2F01%2F09%2F013843\" title=\"Python \u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0 \u7b2c3\u7ae0(2) - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"Python \u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0 \u7b2c3\u7ae0(2)","width":"100%","author_name":"derwind"}