0.12.3rc1

0.12.3rc1, 05/11/2015

• Make show_topics return value consistent across models (Christopher Corley, #448)
  • All models with the show_topics method should return a list of
    (topic_number, topic) tuples, where topic is a list of
    (word, probability) tuples.
  • This is a breaking change that affects users of the LsiModel, LdaModel,
    and LdaMulticore that may be reliant on the old tuple layout of
    (probability, word).
• Mixed integer & string document-tags (keys to doc-vectors) will work (Gordon Mohr, #491)
  • DocvecsArray's index2doctag list is renamed/reinterpreted as offset2doctag
  • offset2doctag entries map to doctag_syn0 indexes after last plain-int doctag (if any)
  • (If using only string doctags, offset2doctag may be interpreted same as index2doctag.)
• New Tutorials on Dynamic Topic Modelling and Classification via Word2Vec (@Arttii #471, @mataddy #500)
• Auto-learning for the eta parameter on the LdaModel (Christopher Corley, #479)
• Python 3.5 support
• Speed improvements to keyword and summarisation methods (@erbas #441)
• OSX wheels (#504)
• Win build (#492)