gaussian_pr_cv: Cross validation for Gaussian process regression
In l-ramirez-lopez/resemble: Memory-Based Learning in Spectral Chemometrics
View source: R/local_helpers.R
gaussian_pr_cv R Documentation
Cross validation for Gaussian process regression
Description
internal
Usage
gaussian_pr_cv(
x,
y,
scale,
weights = NULL,
p = 0.75,
number = 10,
group = NULL,
noise_variance = 0.001,
retrieve = c("final_model", "none"),
seed = NULL
)
l-ramirez-lopez/resemble documentation built on April 20, 2023, 10:44 p.m.
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View source: R/local_helpers.R
| gaussian_pr_cv | R Documentation |
Cross validation for Gaussian process regression
Description
internal
Usage
gaussian_pr_cv(
x,
y,
scale,
weights = NULL,
p = 0.75,
number = 10,
group = NULL,
noise_variance = 0.001,
retrieve = c("final_model", "none"),
seed = NULL
)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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