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- [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
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