gaussian_process_cv: Internal Cpp function for performing leave-group-out cross...
In resemble: Memory-Based Learning in Spectral Chemometrics

gaussian_process_cv

R Documentation

Internal Cpp function for performing leave-group-out cross validations for gaussian process

For internal use only!.

gaussian_process_cv(X, Y, mindices, pindices, noisev = 0.001,  
scale = TRUE, statistics = TRUE)

`X`	a matrix of predictor variables.
`Y`	a matrix of a single response variable.
`mindices`	a matrix with `n` rows and `m` columns where `m` is equivalent to the number of resampling iterations. The elements of each column indicate the indices of the observations to be used for modeling at each iteration.
`pindices`	a matrix with `k` rows and `m` columns where `m` is equivalent to the number of resampling iterations. The elements of each column indicate the indices of the observations to be used for predicting at each iteration.
`scale`	a logical indicating whether both the predictors and the response variable must be scaled to zero mean and unit variance.
`statistics`	a logical value indicating whether the precision and accuracy statistics are to be returned, otherwise the predictions for each validation segment are retrieved.
`ncomp`	an integer indicating the number of pls components.