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.