I have no idea whether the randomized SVD method is supposed to work for complex data or not (from a mathematical point of view). I think that all scikit-learn estimators assume real data (or integer data for class labels) and our input validation utilities will cast numeric values to float64 by default. This might be the cause of your problem. Have a look at the source code to confirm. The reference to the paper can also be found in the docstring of those functions.
-- Olivier
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