piskvorky/gensim 0.13.2

Dynamic Topic Modelling in Python from Google Summer of Code. Breaking changes in hdp and dtm models. +15 changes.

on GitHub

0.13.2, 2016-08-19

• wordtopics has changed to word_topics in ldamallet, and fixed issue #764. (@bhargavvader, #771)
  • assigning wordtopics value of word_topics to keep backward compatibility, for now
• topics, topn parameters changed to num_topics and num_words in show_topics() and print_topics()(@droudy, #755)
  • In hdpmodel and dtmmodel
  • NOT BACKWARDS COMPATIBLE!
• Added random_state parameter to LdaState initializer and check_random_state() (@droudy, #113)
• Topic coherence update with c_uci, c_npmi measures. LdaMallet, LdaVowpalWabbit support. Add topics parameter to coherencemodel. Can now provide tokenized topics to calculate coherence value. Faster backtracking. (@dsquareindia, #750, #793)
• Added a check for empty (no words) documents before starting to run the DTM wrapper if model = "fixed" is used (DIM model) as this causes the an error when such documents are reached in training. (@Eickho, #806)
• New parameters limit, datatype for load_word2vec_format(); lockf for intersect_word2vec_format (@gojomo, #817)
• Changed use_lowercase option in word2vec accuracy to case_insensitive to account for case variations in training vocabulary (@jayantj, #804
• Link to Doc2Vec on airline tweets example in tutorials page (@544895340 , #823)
• Small error on Doc2vec notebook tutorial (@charlessutton, #816)
• Bugfix: Full2sparse clipped to use abs value (@tmylk, #811)
• WMD docstring: add tutorial link and query example (@tmylk, #813)
• Annoy integration to speed word2vec and doc2vec similarity. Tutorial update (@droudy, #799,#792 )
• Add converter of LDA model between Mallet, Vowpal Wabit and gensim (@dsquareindia, #798, #766)
• Distributed LDA in different network segments without broadcast (@menshikh-iv , #782)
• Update Corpora_and_Vector_Spaces.ipynb (@megansquire, #772)
• DTM wrapper bug fixes caused by renaming num_words in #755 (@bhargavvader, #770)
• Add LsiModel.docs_processed attribute (@hobson, #763)
• Dynamic Topic Modelling in Python. Google Summer of Code 2016 project. (@bhargavvader, #739, #831)