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textacy v0.3.2 Release Notes

Release Date: 2016-11-15 // over 7 years ago

  • 🆕 New and Changed:

    • Preliminary inclusion of custom spaCy pipelines
      • updated load_spacy() to include explicit path and create_pipeline kwargs, and removed the already-deprecated load_spacy_pipeline() function to avoid confusion around spaCy languages and pipelines
      • added spacy_pipelines module to hold implementations of custom spaCy pipelines, including a basic one that merges entities into single tokens
      • note: necessarily bumped minimum spaCy version to 1.1.0+
      • see the announcement here: https://explosion.ai/blog/spacy-deep-learning-keras
    • To reduce code bloat, made the matplotlib dependency optional and dropped the gensim dependency
      • to install matplotlib at the same time as textacy, do $ pip install textacy[viz]
      • bonus: backports.csv is now only installed for Py2 users
      • thanks to @mbatchkarov for the request
    • 👌 Improved performance of textacy.corpora.WikiReader().texts(); results should stream faster and have cleaner plaintext content than when they were produced by gensim. This should also fix a bug reported in Issue #51 by @baisk
    • ➕ Added a Corpus.vectors property that returns a matrix of shape (# documents, vector dim) containing the average word2vec-style vector representation of constituent tokens for all Doc s