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i am a rapid-i novice.
i want to train the model on a specific set of data and then test on another specific set. from what i can see (so far), there is a round about way of doing this by using:
Xvalidation and selelecting sampling_type = "linear sampling" and number_of_validations = 2
although this requires that both training and testing data sets have the same number of elements and are in a particular order.
is there a more general / sensible way of doing this? in particular, can i base the sampling on one of the data attributes?
many thanks, evgeny.