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This looks like some nice code examples, but it's worth pointing out that Spacy's website has really well-written documentation with plenty of code. For example
by kough 9y ago
This looks like some nice code examples, but it's worth pointing out that Spacy's website has really well-written documentation with plenty of code. For example, their page on generating word vectors:
https://spacy.io/usage/vectors-similarity https://spacy.io/usage/vectors-similarity
- tylerneylon 9y agoYep! Completely agree that spaCy's docs are great, and have benefited from solid attention. Our motivation in making this is to build up the site as a destination where you can map a conceptual ML problem to copy-and-pasteable code that immediately works and is readable / learn-fromable. For the two of us (Mike Sall and I) creating the site, it's basically something we've often wanted in our day-to-day machine learning and data science work.
- kough 9y agoTotally get it, I hope you didn't take my comment as a criticism.
- unhammer 9y agoI agree SpaCy's doc's are great, though I still managed to miss the point about the small models missing real word vectors, which http://mlreference.com/word-vectors-spacy http://mlreference.com/word-vectors-spacy notes at the very top. I wasted some time getting confused on why nlp("cat").vector gave a nice-looking vector while len(nlp.vocab.vectors)==0 etc., I'm guessing I wasn't the only one :-)