adjust banner copy
raise ValueError if word2vec format invalid (was: assert)
add link to blog tutorial to word2vec docs
save/load automatically detect large arrays & store them separately & mmap back
optimize word2vec initialization (less mem)
don't store normalized word2vec vectors on save/load
make LDA and LSI use the new save/load functionality
new tests targetting large dataset
* meant to catch the various numpy issues on windows 64bit with large arrays
make the new LSI/LDA format backward compatible
add unit tests for the new save/load functionality
auto-ignore syn0norm when saving word2vec models
detect scipy.sparse arrays in save/load
update *Similarity for new save/load
update changelog with save/load change
free up mem in big tests
Adding norm_only parameter to load_word2vec_format

When set to True, we only keep the normalised
vectors in memory to save space. The normalised
vectors will also be computed in place to save
temporarily allocating large amounts of memory.
Merge pull request #164 from moustaki/develop

Adding norm_only parameter to load_word2vec_format
print a few dictionary items in str(), as sanity check
added docs for new init_sims(reset) + Yves to CHANGELOG
import six package for Py2/Py3 compat in a single codebase