gaussian_process_cv {resemble} | R Documentation |
Internal Cpp function for performing leave-group-out cross validations for gaussian process
Description
For internal use only!.
Usage
gaussian_process_cv(X, Y, mindices, pindices, noisev = 0.001,
scale = TRUE, statistics = TRUE)
Arguments
X |
a matrix of predictor variables. |
Y |
a matrix of a single response variable. |
mindices |
a matrix with |
pindices |
a matrix with |
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. |
Value
a list containing the following one-row matrices:
rmse.seg
: the RMSEs.st.rmse.seg
: the standardized RMSEs.rsq.seg
: the coefficients of determination.
Author(s)
Leonardo Ramirez-Lopez