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, wheretopic
is a list of
(word, probability)
tuples. - This is a breaking change that affects users of the
LsiModel
,LdaModel
,
andLdaMulticore
that may be reliant on the old tuple layout of
(probability, word)
.
- All models with the
- Mixed integer & string document-tags (keys to doc-vectors) will work (Gordon Mohr, #491)
- DocvecsArray's
index2doctag
list is renamed/reinterpreted asoffset2doctag
offset2doctag
entries map todoctag_syn0
indexes after last plain-int doctag (if any)- (If using only string doctags,
offset2doctag
may be interpreted same asindex2doctag
.)
- DocvecsArray's
- 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)