Vocab index ordering?

[Tahlor]

Why do we calculate word counts if we ultimately include all words and sort the vocab alphabetically? Mostly I'm wondering if you ordered it with the most common words first, and later reverted to alphabetical ordering for some reason. Would it be bad to have the most common words first? Or do we expect the model would learn better with a random ordering?

In utils.py:

        vocabulary_inv = [x[0] for x in word_counts.most_common()]
        vocabulary_inv = list(sorted(vocabulary_inv))