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.
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The base class for all quasiseparable kernels |
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A base class for wrapping kernels with some custom implementations |
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A helper to represent the sum of two quasiseparable kernels |
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A helper to represent the product of two quasiseparable kernels |
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The product of a scalar and a quasiseparable kernel |
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The baseline kernel from the |
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The damped, driven simple harmonic oscillator kernel |
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A scalable implementation of |
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A scalable implementation of |
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A scalable implementation of |
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A scalable implementation of |
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A continuous autoregressive moving average (CARMA) process |