python-3.x - 用 sklearn 拆分后如何重新合并 X_test 和 y_test & x_train 和 y_train？

Question

所以我想在拆分它们(使用分层)后对训练和测试数据集执行平均目标编码，并且为了这样做，必须将它们重新合并在一起。

我该怎么做？ ，任何建议将不胜感激？ , 谢谢你。

   X_train, X_test, y_train, y_test = train_test_split(R,
                                                target,
                                                test_size=0.25,
                                                random_state=7,
                                                stratify=target)  
   print("Number transactions X_train dataset: ", X_train.shape)
   print("Number transactions y_train dataset: ", y_train.shape)
   print("Number transactions X_test dataset: ", X_test.shape)
   print("Number transactions y_test dataset: ", y_test.shape)

这是输出:

   Number transactions X_train dataset:  (37779, 89)
   Number transactions y_train dataset:  (37779,)
   Number transactions X_test dataset:  (12593, 89)
   Number transactions y_test dataset:  (12593,)

Answer 1

您可以逐行连接您的数组:

X_combined = np.r_[X_train, X_test]
y_combined = np.r_[y_train, y_test]

您可以在 other 中看到一些额外的深度所以问题。