🔨 fix bug #97

docs/chapter03_DL-basics/3.16_kaggle-house-price.md

@@ -131,7 +131,7 @@ def log_rmse(net, features, labels):
     with torch.no_grad():
         # 将小于1的值设成1，使得取对数时数值更稳定
         clipped_preds = torch.max(net(features), torch.tensor(1.0))
-        rmse = torch.sqrt(2 * loss(clipped_preds.log(), labels.log()).mean())
+        rmse = torch.sqrt(loss(clipped_preds.log(), labels.log()))
     return rmse.item()
 ```
 
@@ -203,12 +203,12 @@ def k_fold(k, X_train, y_train, num_epochs,
 ```
 输出：
 ```
-fold 0, train rmse 0.241054, valid rmse 0.221462
-fold 1, train rmse 0.229857, valid rmse 0.268489
-fold 2, train rmse 0.231413, valid rmse 0.238157
-fold 3, train rmse 0.237733, valid rmse 0.218747
-fold 4, train rmse 0.230720, valid rmse 0.258712
-5-fold validation: avg train rmse 0.234155, avg valid rmse 0.241113
+fold 0, train rmse 0.170585, valid rmse 0.156860
+fold 1, train rmse 0.162552, valid rmse 0.190944
+fold 2, train rmse 0.164199, valid rmse 0.168767
+fold 3, train rmse 0.168698, valid rmse 0.154873
+fold 4, train rmse 0.163213, valid rmse 0.183080
+5-fold validation: avg train rmse 0.165849, avg valid rmse 0.170905
 ```
 <img width="400" src="../img/chapter03/3.16_output2.png"/>
 
@@ -250,7 +250,7 @@ train_and_pred(train_features, test_features, train_labels, test_data, num_epoch
 ```
 输出：
 ```
-train rmse 0.229943
+train rmse 0.162085
 ```
 <img width="400" src="../img/chapter03/3.16_output3.png"/>