added encoding, gzip and stopwords options ; minor speed increases ;  add word2vec in bin/fac
added encoding, stopwords, gzip option
Merge remote-tracking branch 'upstream/master'
added word2vec in bin/fac
Update WordEmbeddingModel.scala
update timing details in WordVec
Update VocabBuilder.scala
Update SkipGramEmbeddingModel.scala
take model as WordEmbeddingModel in Example
take model as WordEmbeddingModel in Example
added encoding, gzip options
added GoogleEmbedding loader
remove unwanted variables in GoogleEmbedding
Delete GoogleEmbedding.scala
add timing details in WordVec
remove older comments
change default encoding to UTF8
added Boolean cmd option for cbow, ignore-stopwords, binary
Bug fixes for CollapseDigitsLemmatizer.

It thought it was a SimplifyDigitsLemmatizer (factory method created the
wrong class, and it's process method returned the wrong type).
fixes to the new ChainModel changes so that they can handle weights that aren't DenseTensor2's. This arises, for example,  when you use adagradrda for learning