spleaf.term

Classes

CalibrationError(calib_id, sig)	Correlated calibration error.
CalibrationJitter(indices, calib_id, sig)	Correlated calibration jitter.
ESKernel(sig, rho[, coef_la, mu])	The Exponential-sine (ES) kernel is a rank 3 twice mean-square differentiable kernel approximating the squared-exponential (SE) kernel.
ESPKernel(sig, P, rho, eta[, nharm])	The Exponential-sine periodic (ESP) kernel is a twice mean-square differentiable kernel approximating the squared-exponential periodic (SEP) kernel.
Error(sig)	Uncorrelated measurement errors.
ExponentialKernel(a, la)	Exponential decay kernel.
InstrumentJitter(indices, sig)	Uncorrelated instrument jitter.
Jitter(sig)	Uncorrelated global jitter.
Kernel()	Generic class for covariance kernel (Gaussian process) terms.
MEPKernel(sig, P, rho, eta)	The Matérn 3/2 exponential periodic (MEP) kernel is a rank 6 kernel roughly approximating the squared-exponential periodic (SEP) kernel.
Matern12Kernel(sig, rho)	Matérn 1/2 kernel.
Matern32Kernel(sig, rho)	Matérn 3/2 kernel.
Matern52Kernel(sig, rho)	Matérn 5/2 kernel.
MultiFourierKernel(P, alpha, beta[, ...])	Multivariate Fourier series kernel.
MultiSeriesKernel(kernel, series_index, alpha)	Linear combination of a Kernel and its derivative applied to heterogenous time series.
Noise()	Generic class for covariance noise terms.
OSHOKernel(sig, P0, Q[, eps])	Over-damped SHO Kernel.
ProductKernel(kernel1, kernel2)	Generic class for the product of two kernel terms.
QuasiperiodicKernel(a, b, la, nu)	Quasiperiodic kernel.
SHOKernel(sig, P0, Q[, eps])	SHO Kernel.
SimpleProductKernel(**kwargs)	Methods
SimpleSumKernel(**kwargs)	Methods
SumKernel(*args)	Generic class for the sum of several kernel terms.
Term()	Generic class for covariance terms.
TransformKernel(inner_kernel, translate_param)	Methods
USHOKernel(sig, P0, Q[, eps])	Under-damped SHO Kernel.