LDA currently supports prediction on the training set. E.g., you can call logLikelihood and topicDistributions to get that info for the training data. However, it should support the same functionality for new (test) documents.
This will require inference but should be able to use the same code, with a few modification to keep the inferred topics fixed.
Note: The API for these methods is already in the code but is commented out.