Matthew Honnibal b7c75049f7 Support 'bow' architecture for TextCategorizer ... This allows efficient ngram bag-of-words models, which are better when the classifier needs to run quickly, especially when the texts are long. Pass architecture="bow" to use it. The extra arguments ngram_size and attr are also available, e.g. ngram_size=2 means unigram and bigram features will be extracted.		2019-03-23 16:08:27 +01:00
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__init__.py	💫 Add better and serializable sentencizer (#3471)	2019-03-23 15:45:02 +01:00
entityruler.py	💫 Add better and serializable sentencizer (#3471)	2019-03-23 15:45:02 +01:00
functions.py	Tidy up and improve docs and docstrings (#3370)	2019-03-08 11:42:26 +01:00
hooks.py	💫 Add better and serializable sentencizer (#3471)	2019-03-23 15:45:02 +01:00
pipes.pyx	Support 'bow' architecture for TextCategorizer	2019-03-23 16:08:27 +01:00