example_setup.cfg 931 B

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  1. [experiment]
  2. # selection of experimental setup
  3. numTasks: 10
  4. numRndInits: 10
  5. numSteps: 100
  6. numCls: 10
  7. rejectNoise: False
  8. continueExperiment: True
  9. useApproximation: False
  10. [data]
  11. # dataset, see data for possible choices
  12. datatype: pickle
  13. # generated by PrecomputeExperimentalSetup.py
  14. indicesFileName: None
  15. # path to training feature file
  16. trainFileName: None
  17. # path to test feature file
  18. testFileName: None
  19. # path to noise feature file
  20. noiseFileName: None
  21. # comma separated list of forbidden class ids
  22. forbiddenCls: None
  23. # path to training feature file = helperFunctions.getConfig(configFile, 'data', 'forbiddenCls', [], 'intList', True)
  24. numNoiseSamples: None
  25. [activeLearning]
  26. # config for al method, see methodSelection.py for possible choices
  27. method: GPLinKemoc
  28. sigmaN: 0.00178
  29. useDensity: True
  30. [reweighting]
  31. # config for reweighting method, see methodSelection.py for possible choices
  32. method: GPLinK
  33. sigmaN: 0.00178