* Added suggested lda model method and print methods to HDP class (bhargavvader, [1055](https://github.com/RaRe-Technologies/gensim/pull/1055))
* New class KeyedVectors to store embedding separate from training code (anmol01gulati and droudy, [980](https://github.com/RaRe-Technologies/gensim/pull/980))
* Evaluation of word2vec models against semantic similarity datasets like SimLex-999 (akutuzov, [1047](https://github.com/RaRe-Technologies/gensim/pull/1047))
* TensorBoard word embedding visualisation of Gensim Word2vec format (loretoparisi, [1051](https://github.com/RaRe-Technologies/gensim/pull/1051))
* Throw exception if load() is called on instance rather than the class in word2vec and doc2vec (dust0x, [889](https://github.com/RaRe-Technologies/gensim/pull/889))
* Loading and Saving LDA Models across Python 2 and 3. Fix 853 (anmolgulati, [913](https://github.com/RaRe-Technologies/gensim/pull/913), [#1093](https://github.com/RaRe-Technologies/gensim/pull/1093))
* Fix automatic learning of eta (prior over words) in LDA (olavurmortensen, [1024](https://github.com/RaRe-Technologies/gensim/pull/1024)).
* eta should have dimensionality V (size of vocab) not K (number of topics). eta with shape K x V is still allowed, as the user may want to impose specific prior information to each topic.
* eta is no longer allowed the "asymmetric" option. Asymmetric priors over words in general are fine (learned or user defined).
* As a result, the eta update (`update_eta`) was simplified some. It also no longer logs eta when updated, because it is too large for that.
* Unit tests were updated accordingly. The unit tests expect a different shape than before; some unit tests were redundant after the change; `eta='asymmetric'` now should raise an error.
* Optimise show_topics to only call get_lambda once. Fix 1006. (bhargavvader, [1028](https://github.com/RaRe-Technologies/gensim/pull/1028))
* HdpModel doc improvement. Inference and print_topics (dsquareindia, [1029](https://github.com/RaRe-Technologies/gensim/pull/1029))
* Removing Doc2Vec defaults so that it won't override Word2Vec defaults. Fix 795. (markroxor, [929](https://github.com/RaRe-Technologies/gensim/pull/929))
* Remove warning on gensim import "pattern not installed". Fix 1009 (shashankg7, [1018](https://github.com/RaRe-Technologies/gensim/pull/1018))
* Add delete_temporary_training_data() function to word2vec and doc2vec models. (deepmipt-VladZhukov, [987](https://github.com/RaRe-Technologies/gensim/pull/987))
* Documentation improvements (IrinaGoloshchapova, [1010](https://github.com/RaRe-Technologies/gensim/pull/1010), [#1011](https://github.com/RaRe-Technologies/gensim/pull/1011))
* LDA tutorial by Olavur, tips and tricks (olavurmortensen, [779](https://github.com/RaRe-Technologies/gensim/pull/779))
* Add double quote in commmand line to run on Windows (akarazeev, [1005](https://github.com/RaRe-Technologies/gensim/pull/1005))
* Fix directory names in notebooks to be OS-independent (mamamot, [1004](https://github.com/RaRe-Technologies/gensim/pull/1004))
* Respect clip_start, clip_end in most_similar. Fix 601. (parulsethi, [994](https://github.com/RaRe-Technologies/gensim/pull/994))
* Replace Python sigmoid function with scipy in word2vec & doc2vec (markroxor, [989](https://github.com/RaRe-Technologies/gensim/pull/989))
* WMD to return 0 instead of inf for sentences that contain a single word (rbahumi, [986](https://github.com/RaRe-Technologies/gensim/pull/986))
* Pass all the params through the apply call in lda.get_document_topics(), test case to use the per_word_topics through the corpus in test_ldamodel (parthoiiitm, [978](https://github.com/RaRe-Technologies/gensim/pull/978))
* Pyro annotations for lsi_worker (markroxor, [968](https://github.com/RaRe-Technologies/gensim/pull/968))