ridge_linear_cov100_t5: Outcomes of an example for tuning-free conformal prediction...
In Elsa-Yang98/ConformalSmallest: Efficient Tuning-Free Conformal Prediction

A dataset containing the experiment results used in the vignettes.

1	ridge_linear_cov100_t5

A list with 7 elements: dim_linear_t5,cov.param_linear_fm_t5, cov.naive_linear_fm_t5, cov.vfcp_linear_fm_t5, cov.star_linear_fm_t5, cov.cv5_linear_fm_t5, cov.efcp_linear_fm_t5

dim: dimensions used in the experiment
cov.param: a matrix with coverages for the prediction regions produced by the parametric method
cov.naive: a matrix with coverages for the prediction regions produced by naive linear regression method
cov.vfcp: na matrix with coverages for the prediction regions produced by VFCP
cov.star: a matrix with coverages for the prediction regions produced by cross validation with the errors
cov.cv5: a matrix with coverages for the prediction regions produced by cross-validation with 5 splits
cov.efcp: a matrix with coverages for the prediction regions produced by efcp

For details please see the "Example-tuning_free_ridge_regression" vignette:vignette("Example-tuning_free_ridge_regression", package = "ConformalSmallest")

Elsa-Yang98/ConformalSmallest documentation built on Dec. 17, 2021, 6:28 p.m.