Software
Julia packages
Michael Schmischke implements Fourier based methods for explainable high-dimensional approximation in julia.The code is frequently further developed and is publicly available via github:
- NFFT3 - julia interface for nonequispaced fast Fourier transforms (NFFT)
- ANOVAapprox - approximation package for high-dimensional functions in julia
- GroupedTransforms - julia package for grouped transformations
- AttributeRankingExamples - numerical examples
Python codes (NFFT-KRR)
Theresa Wagner implemented the NFFT-based kernel ridge regression (KRR) with ANOVA-like kernels in Python.The code is publicly available via github:
- NFFT4ANOVA - NFFT-KRR python code.