The Autoencoder has been renamed to MLPAutoencoder. It now supports normalization/standardization/no transformation as pre-processing steps. It can also write out the weights as an ARFF file. If the data is output in the original space, it is now properly scaled. There is support for SparseInstance input, and the code should run a little faster in general.

git-svn-id: https://svn.cms.waikato.ac.nz/svn/weka/trunk@10005 e0a1b77d-ad91-4216-81b1-defd5f83fa92
Merge remote-tracking branch 'upstream'