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  3. Hyperparameter Tuning in R

Exercise

Setting hyperparameters

And finally, you are going to set specific hyperparameters, which you might have found by examining your tuning results from before, The knowledge_train_data dataset has already been loaded for you, as have the packages mlr and tidyverse. And the following code has also been run:

task <- makeClassifTask(data = knowledge_train_data, 
                        target = "UNS")

lrn <- makeLearner(cl = "classif.nnet", fix.factors.prediction = TRUE)

Instructions

100 XP
  • Set the following hyperparameters for a neural net: One hidden layer, maximum number of iterations of 150 and 0 decay.