use full trip sequences for training set. updates getSequences, preprocess, classify
use open-ended subsequence comparison in call to R DTW

call also speeds up evaluation with distance_only=True (since we don't
care about the alignment path or cost matrix). I've chosen the step
pattern RJ typeIIIc sicne it's normalizable, but the choice of
smoothing and specific normalizable step pattern is unclear.

Note that in R args like open.begin replace the . with _ and for args
that want an R object, use inline evaluation like R('command').