Python: how to save training datasets

Question

I have got training datasets, which are xtrain, ytrain, xtest and ytest. They are all numpy arrays. I want to save them together into a file, so that I can load them into workspace as done in keras for mnist.load_data:

(xtrain, ytrain), (xtest, ytest) = mnist.load_data(filepath)

In python, is there any way to save my training datasets into such a single file? Or is there any other appreciate methods to save them?

Answer 1

You have a number of options:

• npz
• hdf5
• pickle

Keras provides option to save models to hdf5. Also, note that out of the three, it's the only interoperable format.