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  1. The Virtual Brain
  2. TVB-2155

Integrate cross-validation with parameter sweeps

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    Details

    • Type: Improvement
    • Status: Closed
    • Priority: Major
    • Resolution: Won't Fix
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: None
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      Description

      Our first strategy for 'fitting' is parameter sweeps, but picking the best parameters for given data can easily lead to overfitting. There are numerous techniques we should integrate to avoid this

      http://scikit-learn.org/stable/modules/cross_validation.html#cross-validation

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              Assignee:
              marmaduke.woodman Marmaduke Woodman
              Reporter:
              marmaduke.woodman Marmaduke Woodman
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