Take the k-solutions for a combination of hyperparameters, and assign a score to it (the larger, the better).
1 | score_fold(folds, criterion, K, gwas, covars)
|
folds |
k-times-d matrix, where k is the number of folds, and d the number of SNPs. |
criterion |
String with the method to use to score the folds. |
K |
Numeric vector of length equal to the number of samples. The elements are integers from 1 to # folds. Indicates which samples belong to which fold. |
gwas |
A SnpMatrix object with the GWAS information. |
covars |
A data frame with the covariates. It must contain a column 'sample' containing the sample IDs, and an additional columns for each covariate. |
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