// THE LIST OF ALLOWED PARAMETERS

// root folder
root = C:/transferLearning/scalability/biosfer/

// source domain paths
sourceDomainPositiveDataset = data/mouse/pos.txt
sourceDomainUnlabeledDataset = data/mouse/unlab.txt

// target domain paths
targetDomainPositiveDataset = data/human/pos_fold1.txt
targetDomainUnlabeledDataset = data/human/unlab.txt

// test set path
testSetDataset = data/human/test_fold1.txt

// gold standard path
goldStandardPath = data/gold_standard/fold1.txt

// experiment result folder
experimentName = BioSfer_3s2t_fold1/

// insert the number of clusters AsBt format where A > 0 and B > 0. "s" stands for "source", "t" for "target"
clusters = 3s2t

// KMeans max iterations
numIterations = 100

// if true it executes crisp labelling otherwise it performs instance weighted learning
executeLabelling = false

// if 'executeLabelling' is true, this is the positive/negative ranking threshold
labellingThreshold = 0.5

// write all steps or just minimal
minimalVerbosity = false

// top k% of the recall@k measure for the IV stage training
topK = 1

// Spark master node ip. 
master = local[*]

// Spark driverMaxResultSize. Default: 1g
driverMaxResultSize = 3G