To run this benchmark you additionaly need AutoWEKA and the datasets, you can both them from http://www.cs.ubc.ca/labs/beta/Projects/autoweka/
wget http://www.cs.ubc.ca/labs/beta/Projects/autoweka/autoweka-0.5.tar.gz
wget http://www.cs.ubc.ca/labs/beta/Projects/autoweka/datasets/abalone.zip
tar -xf autoweka-0.5.tar.gz
unzip abalone.zip
Modify config.cfg, you might want to change:
--trainarff ../abalone/train.arff --testarff ../abalone/train.arff --pathToAw ../autoweka-0.5/autoweka.jar
function = python ../wrappingAutoweka.py --trainarff ../abalone/train.arff --testarff ../abalone/train.arff --trainingtime 9000 --javamemory 1000 --pathToAw ../autoweka-0.5/autoweka.jar
then run:
HPOlib-run -o path/to/smac