Gensim

* fixed a bug in LSA that occurred when the number of features was smaller than the number of topics (thx to Richard Berendsen)

* optimized vocabulary generation in gensim.corpora.dictionary (faster and less memory-intense)
* MmCorpus accepts compressed input (file-like objects such as GzipFile, BZ2File; to save disk space)
* changed sparse solver to SVDLIBC (sparsesvd on PyPi) for large document chunks
* added distributed LSA, updated tutorials (still experimental though)
* several minor bug fixes

* added option for online LSI training (yay!). the transformation can now be
used after any amount of training, and training can be continued at any time
with more data.
* optimized the tf-idf transformation, so that it is a strictly one-pass algorithm in all cases (thx to Brian Merrell).
* fixed Windows-specific bug in handling binary files (thx to Sutee Sudprasert)
* fixed 1-based feature counting bug in SVMlight format (thx to Richard Berendsen)
* added 'Topic :: Text Processing :: Linguistic' to gensim's pypi classifiers
* change of sphinx documentation css and layout

* finished all tutorials, stable version

* tutorial on transformations

* added Random Projections (aka Random Indexing), as another transformation model.
* several DML-CZ specific updates