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