NLP with spaCy
mlreference.com
mlreference.com
If you make a pull request with your examples in a test file I'll be sure to notify you if we break anything. The trickiest thing will be the outputs from the statistical models. If we release new models, the examples might give different outputs, even if the API hasn't changed.
A quick clarification as well:
> As implied in the spacy docs for the Token class, the is_alpha, is_digit, is_upper, is_lower, is_title, and is_space attributes all delegate their operations to Python's built-in str methods with similar names (such as str.isalpha()).
This is generally true, but the values are cached within the vocabulary, for each word-type. I'm just worried this could confuse someone.
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.