Apache Spark Deep Learning Cookbook

Getting ready

1. Begin by loading the training sequences again. You may do so by using the load_document() function, which we developed initially. This is done by using the following code:

def load_document(name):    file = open(name, 'r')    text = file.read()    file.close()    return text# load sequences of cleaned textinput_filename = 'junglebook_sequences.txt'doc = load_document(input_filename)lines = doc.split('\n')

The output of the preceding code is illustrated in the following screenshot:

2. Note that the input filename is now 'junglebook_sequences.txt', which will load the saved training sequences into the memory. We need the text so that we can ...