Merge branch 'release-0.12.0rc1'

.gitignore

@@ -29,6 +29,7 @@
 *.pkl
 *.bak
 *.npy
+*.npz
 
 # OS generated files #
 ######################
@@ -44,6 +45,7 @@ Thumbs.db
 .ropeproject
 .settings/
 .eggs
+cython_debug
 docs/src/_build/
 docs/_static
 dedan_gensim.tmproj

CHANGELOG.txt

@@ -1,12 +1,39 @@
 Changes
 =======
 
+0.11.2, 05/07/2015
+
+* complete API, performance, memory overhaul of doc2vec (Gordon Mohr, #356, #373, #380, #384)
+  - fast infer_vector(); optional memory-mapped doc vectors; memory savings with int doc IDs
+  - 'dbow_words' for combined DBOW & word skip-gram training; new 'dm_concat' mode
+  - multithreading & negative-sampling optimizations (also benefitting word2vec)
+  - API NOTE: doc vectors must now be accessed/compared through model's 'docvecs' field 
+    (eg: "model.docvecs['my_ID']" or "model.docvecs.most_similar('my_ID')") 
+  - https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/doc2vec-IMDB.ipynb
+* new "text summarization" module (PR #324: Federico Lopez, Federico Barrios)
+  - https://github.com/summanlp/docs/raw/master/articulo/articulo-en.pdf
+* new matutils.argsort with partial sort
+  - performance speedups to all similarity queries (word2vec, Similarity classes...)
+* word2vec can compute likelihood scores for classification (Mat Addy, #358)
+  - http://arxiv.org/abs/1504.07295
+  - http://nbviewer.ipython.org/github/taddylab/deepir/blob/master/w2v-inversion.ipynb
+* word2vec supports "encoding" parameter when loading from C format, for non-utf8 models
+* fixes to Python3 compatibility (Pavel Kalaidin #330, S-Eugene #369)
+* enhancements to save/load format (Liang Bo Wang #363, Gordon Mohr #356)
+  - pickle defaults to protocol=2 for better py3 compatibility
+* fixes and improvements to wiki parsing (Lukas Elmer #357, Excellent5 #333)
+* fix to phrases scoring (Ikuya Yamada, #353)
+* speed up of phrases generation (Dave Challis, #349)
+* changes to multipass LDA training (Christopher Corley, #298)
+* various doc improvements and fixes (Matti Lyra #331, Hongjoo Lee #334)
+* fixes and improvements to LDA (Christopher Corley #323)
+
 0.11.0 = 0.11.1 = 0.11.1-1, 10/04/2015
 
-* added "topic ranking" to sort topics in LdaModel (jtmcmc, #311)
+* added "topic ranking" to sort topics by coherence in LdaModel (jtmcmc, #311)
 * new fast ShardedCorpus out-of-core corpus (Jan Hajic jr., #284)
 * utils.smart_open now uses the smart_open package (#316)
-* new wrapper for Vowpal Wabbit (Dave Challis, #304)
+* new wrapper for LDA in Vowpal Wabbit (Dave Challis, #304)
 * improvements to the DtmModel wrapper (Yang Han, #272, #277)
 * move wrappers for external modeling programs into a submodule (Christopher Corley, #295)
 * allow transparent compression of NumPy files in save/load (Christopher Corley, #248)

README.rst

@@ -48,7 +48,7 @@ The simple way to install `gensim` is::
     pip install -U gensim
 
 Or, if you have instead downloaded and unzipped the `source tar.gz <http://pypi.python.org/pypi/gensim>`_ package,
-you'll need to run::
+you'd run::
 
     python setup.py test
     python setup.py install
@@ -77,3 +77,8 @@ It is also included in the source distribution package.
 
 Gensim is open source software released under the `GNU LGPL license <http://www.gnu.org/licenses/lgpl.html>`_.
 Copyright (c) 2009-now Radim Rehurek
+
+|Analytics|_
+
+.. |Analytics| image:: https://ga-beacon.appspot.com/UA-24066335-5/your-repo/page-name
+.. _Analytics: https://github.com/igrigorik/ga-beacon