Scale
Scale#
- class tinygp.kernels.quasisep.Scale(scale: tinygp.helpers.JAXArray, kernel: tinygp.kernels.quasisep.Quasisep)[source]#
Bases:
tinygp.kernels.quasisep.Quasisep
The product of a scalar and a quasiseparable kernel
- A(X1: tinygp.helpers.JAXArray, X2: tinygp.helpers.JAXArray) tinygp.helpers.JAXArray [source]#
The transition matrix between two neighboring coordinates
- coord_to_sortable(X: tinygp.helpers.JAXArray) tinygp.helpers.JAXArray #
A helper function used to convert coordinates to sortable 1-D values
By default, this is the identity, but in cases where
X
is structured (e.g. multivariate inputs), this can be used to appropriately unwrap that structure.
- evaluate(X1: tinygp.helpers.JAXArray, X2: tinygp.helpers.JAXArray) tinygp.helpers.JAXArray #
The kernel evaluated via the quasiseparable representation
- evaluate_diag(X: tinygp.helpers.JAXArray) tinygp.helpers.JAXArray #
For quasiseparable kernels, the variance is simple to compute
- h(X: tinygp.helpers.JAXArray) tinygp.helpers.JAXArray [source]#
The ‘observation model’ for the process
- to_general_qsm(X1: tinygp.helpers.JAXArray, X2: tinygp.helpers.JAXArray) tinygp.solvers.quasisep.general.GeneralQSM #
The generalized quasiseparable representation of this kernel
- to_symm_qsm(X: tinygp.helpers.JAXArray) tinygp.solvers.quasisep.core.SymmQSM #
The symmetric quasiseparable representation of this kernel