Hi!,

Related to #40

I was wondering if node2vec now uses skip-gram by default (I cannot see it anywhere in the source code, but i am sure i am missing it!!)

If it hasn't, does the following line of code automatically set sg=1 if i add this?

n2v = Node2Vec(n_components=32, walklen=80, epochs=100, keep_walks=True, w2vparams={'sg':1}) 
n2v.fit(nx_graph)

I want to be sure this is correct, as when i set {'sg': 50} (just a very silly example to invoke an error), no error is thrown - and so I wonder if w2vparams={'sg':1} is actually selecting skip-gram instead of CBOW or if I am doing something incorrectly. Any advice (or the right way to do it) is appreciated :)

Secondly: instead of saving embeddings and then loading them as keyedvectors with word2vec - is there a way of converting the fitted object (n2v above) directly to a Word2Vec gensim object?

Thank you!