Shallowlearn

----------------------------------------------------------------------------------

* Online learning and better pre-training in GensimFastTex:
- Hashing trick for building the vocabulary, similar to the original fastText approach
- It is possible to pre-fit word embeddings from a dataset with word2vec
- True online earning with ``partial_fit``, the vocabulary is incrementally updated
* New version of fastText.py: 0.8.2
* New version of Gensim: 0.13.4
* Fixed ``predict_proba`` output format

----------------------------------------------------------------------------------

* Faster prediction for multiple labels with one ``predict`` call
* Better persistence with ``save`` and ``load`` methods
* Fixed parameter names convention

----------------------------------------------------------------------------------

* FastText classifier based on version 0.8.0 of https://github.com/salestock/fastText.py
* GensimFastText has now:
- negative sampling
- softmax as alternative output function
- almost complete LabeledWord2Vec as subclass of Gensim's Word2Vec
* More tests

----------------------------------------------------------------------------------

* Cython code for fastText in Gensim
* Script for benchmarks

----------------------------------------------------------------------------------

* First working model: GensimFastText