kernels.quasisep package

The kernels implemented in this subpackage are used with the tinygp.solvers.QuasisepSolver to allow scalable GP computations by exploting quasiseparable structure in the relevant matrices (see solvers.quasisep package for more technical details). For now, these methods are experimental, so you may find the documentation patchy in places. You are encouraged to open issues or pull requests as you find gaps.

Quasisep()	The base class for all quasiseparable kernels
Wrapper(kernel)	A base class for wrapping kernels with some custom implementations
Sum(kernel1, kernel2)	A helper to represent the sum of two quasiseparable kernels
Product(kernel1, kernel2)	A helper to represent the product of two quasiseparable kernels
Scale(kernel, scale)	The product of a scalar and a quasiseparable kernel
Celerite(a, b, c, d)	The baseline kernel from the celerite package
SHO(omega, quality, sigma)	The damped, driven simple harmonic oscillator kernel
Exp(scale, sigma)	A scalable implementation of tinygp.kernels.stationary.Exp
Matern32(scale, sigma)	A scalable implementation of tinygp.kernels.stationary.Matern32
Matern52(scale, sigma)	A scalable implementation of tinygp.kernels.stationary.Matern52
Cosine(scale, sigma)	A scalable implementation of tinygp.kernels.stationary.Cosine
CARMA(alpha, beta, sigma, roots, proj, ...)	A continuous autoregressive moving average (CARMA) process