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Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.

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goldeneye

Python implementation of the GoldenEye algorithm to investigate how classifiers utilise the structure of a dataset.

The original R implementation can be found at https://bitbucket.org/aheneliu/goldeneye

References

Henelius, Andreas, et al. "A peek into the black box: exploring classifiers by randomization." Data mining and knowledge discovery 28.5-6 (2014): 1503-1529.

Henelius, Andreas, et al. "Goldeneye++: A closer look into the black box." International Symposium on Statistical Learning and Data Sciences. Springer, Cham, 2015.

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Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.

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