February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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iOS application
To use vectors in an iOS application, we must export them in a binary format:
In [47]: model.wv.save_word2vec_format(fname='MarkTwain.bin', binary=True)
This binary contains words and their embedding vectors, all of the same length. The original implementation of Word2Vec was written in C, so I took it and adapted the code for our purpose—to parse the binary file and find closest words to the one that we specify.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.