[experiment]

# selection of experimental setup
numTasks: 10
numRndInits: 10
numSteps: 100
numCls: 10

rejectNoise: False
continueExperiment: True
useApproximation: False


[data]

# dataset, see data for possible choices
datatype: pickle

# generated by PrecomputeExperimentalSetup.py
indicesFileName: None

# path to training feature file
trainFileName: None

# path to test feature file
testFileName: None

# path to noise feature file
noiseFileName: None

# comma separated list of forbidden class ids
forbiddenCls: None

# path to training feature file = helperFunctions.getConfig(configFile, 'data', 'forbiddenCls', [], 'intList', True)
numNoiseSamples: None


[activeLearning]

# config for al method, see methodSelection.py for possible choices
method: GPLinKemoc
sigmaN: 0.00178
useDensity: True


[reweighting]

# config for reweighting method, see methodSelection.py for possible choices
method: GPLinK
sigmaN: 0.00178