improve chain model inference speed when using interesting tensors like from RDA/l2sgd by calculating transition scores only once
set better default l2 regularization constant (consistent with e.g. MALLET)
fix bug in sq eps insensitive loss, add label validation to classifier examples, cleanup
greatly improve efficiency of tensor*scalar weights, as well as implement caching of twoNormSq for Pegasos