KDEs provide a means of non-parametric density estimation.

An extensive introduction and explanation can be found in Kernel Density Estimation.

zfit.pdf.KDE1DimExact(data, *[, obs, ...])	Kernel Density Estimation is a non-parametric method to approximate the density of given points.
zfit.pdf.KDE1DimGrid(data, *[, bandwidth, ...])	Kernel Density Estimation is a non-parametric method to approximate the density of given points.
zfit.pdf.KDE1DimFFT(data, *[, obs, ...])	Kernel Density Estimation is a non-parametric method to approximate the density of given points.
zfit.pdf.KDE1DimISJ(data, *[, obs, padding, ...])	Kernel Density Estimation is a non-parametric method to approximate the density of given points.
zfit.pdf.GaussianKDE1DimV1(obs, data[, ...])	EXPERIMENTAL, `FEEDBACK WELCOME.