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fastmath.interpolation.gp

Gaussian Processes

See more here

Gaussian Processes

See more [here](https://nextjournal.com/generateme/gaussian-processes#gp%2B)
raw docstring

gaussian-processclj

(gaussian-process xss ys)
(gaussian-process xss
                  ys
                  {:keys [kscale kernel noise normalize? L?]
                   :or {kscale 1.0 normalize? false noise 1.0E-8 L? true}})

Return Gaussian Process object, use predict

Return Gaussian Process object, use `predict`
sourceraw docstring

gpclj

(gp xss ys)
(gp xss ys kernel)
(gp xss ys kernel opts)

Gaussian process interpolator.

Gaussian process interpolator.
sourceraw docstring

Lclj

(L gp-object)
(L ys w chol n)
source

posterior-samplesclj

(posterior-samples gp-object xvals)
(posterior-samples gp-object xvals stddev?)
source

predictclj

(predict gp-object xval)
(predict gp-object xval stddev?)
source

predict-allclj

(predict-all gp-object xvals)
(predict-all gp-object xvals stddev?)
source

prior-samplesclj

(prior-samples gp-object xvals)
source

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