I'm working on cross_validation to choose hyperparameters,and I split my training data into k folds.Take one folder as my validation data,the others as training data(I will do that for k times in fact).
X_train_folds = numpy.array_split(X_train,k)
The X_tran_folds will look like this:[subarray1,subarray2,.....]
The subarrays have the same number of columns.
But how to merge the k-1 subarrays into one?