Optunity
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  • Installing Optunity
  • User Guide
  • Examples
  • Notebooks
    • Basic: cross-validation
    • Basic: nested cross-validation
    • Basic: minimizing a simple function
    • Basic: Sobol sequences
    • Optimization response surface
    • OpenCV: optical character recognition
    • sklearn: automated learning method selection and tuning
    • sklearn: SVM classification
    • sklearn: SVM regression
  • Using Other Environments
  • Optunity API
Optunity
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  • Notebooks
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NotebooksΒΆ

Here you can find a variety of notebooks to illustrate various features of Optunity. All of these examples are available in the OPTUNITY/notebooks folder.

  • Basic: cross-validation
    • Standard cross-validation
    • Using strata and clusters
    • Aggregators
    • Cross-validation with scikit-learn
  • Basic: nested cross-validation
  • Basic: minimizing a simple function
  • Basic: Sobol sequences
  • Optimization response surface
  • OpenCV: optical character recognition
  • sklearn: automated learning method selection and tuning
  • sklearn: SVM classification
    • Tune SVC with RBF kernel
    • Tune SVC without deciding the kernel in advance
  • sklearn: SVM regression
    • Nested cross-validation
    • Determining the kernel family during tuning

To contribute examples, please send us a pull request on Github.

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© Copyright 2014, Marc Claesen, Jaak Simm and Dusan Popovic. Revision 019182ca.

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