The function calls
SnnsRObject$train and saves the result in the
rsnns object. This function is used internally by the
mlp) for training. Unless you are not about to implement
a new model on the S3 layer you most probably don't want to use this function.
# S3 method for rsnns train( object, inputsTrain, targetsTrain = NULL, inputsTest = NULL, targetsTest = NULL, serializeTrainedObject = TRUE, ... )
rsnns object, to which the results of training have been added.
additional function parameters (currently not used)
parameter passed to