mergeMeltScoreEmpirical

mergeMeltScoreEmpirical returns a data frames that contain the performance of each digest in the list with their sparsity.

Usage

mergeMeltScoreEmpirical(list.results.digest, k_catalogue, score = "fit_")

Arguments

list.results.digest:

a list of digest objects one for each learner used. For example, list(res.terda.digest, res.terga.digest, res.terbeam.digest)

k_catalogue:

the k_catalogue that will serve to build the result matrix

score:

which score is to be used for value (default: fit_)

Value

a data.frame

Details

Merge a list of empirical scores form digest results