@ogrisel @GaelVaroquaux @agramfort  I did some testing and it turns out that both parameters can help to equalize the outputs produced by both svd methods. On `real data` randomized svd might generate scores that significantly deviate from FA scores based on SVD. Setting n_iter to 3 solves the problem, but also setting n_oversamples to e.g. 100 helps. Both can be combined like n_iter=1 and n_oversamples=20. 
We should probably expose these parameters because these values aren't supposed to be constants ...