GitHub - TheQuantiser/kde_cv: Performs 2d gaussian kernel density estimation. Can also do cross validation. · GitHub

Name		Name	Last commit message	Last commit date
condor		condor
data		data
optimizer		optimizer
tests		tests
visual		visual
.gitignore		.gitignore
Kde2d.cc		Kde2d.cc
Kde2d.h		Kde2d.h
Makefile		Makefile
ProdAdaKde2d.cc		ProdAdaKde2d.cc
ProdAdaKde2d.h		ProdAdaKde2d.h
ProdKde2d.cc		ProdKde2d.cc
ProdKde2d.h		ProdKde2d.h
README.md		README.md
akde_scan.cc		akde_scan.cc
cache_kde_score.cc		cache_kde_score.cc
call_akde_scan.py		call_akde_scan.py
call_fcv_scan.py		call_fcv_scan.py
call_kde_scan.py		call_kde_scan.py
cv_scan.cc		cv_scan.cc
fcv_scan.cc		fcv_scan.cc
fft.cc		fft.cc
fft.h		fft.h
gauss_legendre.c		gauss_legendre.c
gauss_legendre.h		gauss_legendre.h
kde_scan.cc		kde_scan.cc

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Code to do 2d gaussian kernel density estimation with 1D product kernels

It also does cross validation.

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Performs 2d gaussian kernel density estimation. Can also do cross validation.

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