SnnsRObject$train and
saves the result in the current rsnns
object. This function is used internally by the models
(e.g. mlp) for training. Unless you are not
about to implement a new model on the S3 layer you most
probably don't want to use this function. Internal generic train function for rsnns objects.
train(object, ...) ## S3 method for class 'rsnns':
train(object, inputsTrain,
targetsTrain = NULL, inputsTest = NULL,
targetsTest = NULL, serializeTrainedObject = TRUE, ...)
rsnns objectSnnsRObject$trainrsnns object, to which the results of
training have been added.