From 1f64a58767b8716aaf391b8f1c05c2647f069d25 Mon Sep 17 00:00:00 2001 From: Yu Wang Date: Thu, 29 Nov 2018 23:55:48 +0800 Subject: [PATCH] =?UTF-8?q?=E8=AE=A2=E6=AD=A3=204.=E8=AE=AD=E7=BB=83?= =?UTF-8?q?=E6=A8=A1=E5=9E=8B.md=20=E4=BB=A3=E7=A0=81=E4=B8=AD=E7=9A=84?= =?UTF-8?q?=E7=BC=A9=E8=BF=9B=E5=92=8C=E6=8B=AC=E5=8F=B7=E9=85=8D=E5=AF=B9?= =?UTF-8?q?=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../4.\350\256\255\347\273\203\346\250\241\345\236\213.md" | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git "a/docs/4.\350\256\255\347\273\203\346\250\241\345\236\213.md" "b/docs/4.\350\256\255\347\273\203\346\250\241\345\236\213.md" index 00a15c7..2970d2e 100644 --- "a/docs/4.\350\256\255\347\273\203\346\250\241\345\236\213.md" +++ "b/docs/4.\350\256\255\347\273\203\346\250\241\345\236\213.md" @@ -413,8 +413,8 @@ def plot_learning_curves(model, X, y): y_val_predict = model.predict(X_val) train_errors.append(mean_squared_error(y_train_predict, y_train[:m])) val_errors.append(mean_squared_error(y_val_predict, y_val)) -plt.plot(np.sqrt(train_errors), "r-+", linewidth=2, label="train") -plt.plot(np.sqrt(val_errors), "b-", linewidth=3, label="val") + plt.plot(np.sqrt(train_errors), "r-+", linewidth=2, label="train") + plt.plot(np.sqrt(val_errors), "b-", linewidth=3, label="val") ``` 我们一起看一下简单线性回归模型的学习曲线（图 4-15）： @@ -714,7 +714,7 @@ log_reg.fit(X, y) X_new = np.linspace(0, 3, 1000).reshape(-1, 1) y_proba = log_reg.predict_proba(X_new) plt.plot(X_new, y_proba[:, 1], "g-", label="Iris-Virginica") -plt.plot(X_new, y_proba[:, 0], "b--", label="Not Iris-Virginica" +plt.plot(X_new, y_proba[:, 0], "b--", label="Not Iris-Virginica") ``` ![](../images/chapter_4/图4-23.PNG) -- GitLab