Possibility to apply online algorithms on big data files with sklearn?

I would like to apply fast online dimensionality reduction techniques such as (online/mini-batch) Dictionary Learning on big text corpora. My input data naturally do not fit in the memory (this is why i want to use an online algorithm) so i am looking for an implementation that can iterate over a file rather than loading everything in memory. Is it possible to do this with sklearn ? are there alternatives ?

Thanks register