Hi,
I used gensim in combination with Scikit-learn for two months for my
master's thesis. It is quite simple and straight forward.
1. Learn your model on a corpus such as Wikipedia or Reuters-21758 (offline
step)
2. Convert your document/s to a feature space with your model. The result
is a numpy array.
3. Feed your Scikit-learn fit() or predict() function with the numpy array.
I had only troubles with sparse vectors. So for starters your should avoid
them.
If you want, I can post some sample code.
best to you,
Karsten
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