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Fanova

Functional ANOVA: an implementation of the ICML 2014 paper "An Efficient Approach for Assessing Hyperparameter Importance" by Frank Hutter, Holger Hoos and Kevin Leyton-Brown.

Documentation

An 'ever growing' documentation for the Python bindings can be found at https://automl.github.io/fanova/

Note To use fANOVA please make sure to use SWIG version 3.0.12. If you experience problems, try using anaconda or reinstalling pyrfr (#102).

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Functional ANOVA

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  • Python 79.2%
  • Jupyter Notebook 10.5%
  • Makefile 10.3%