digestModelCollection

Sumarizes the results of a model collection object of the type clf_res$models. This is different from the digest() which sumarizes an experiment clf_res$classifier$models

Usage

digestModelCollection(obj, X = NULL, clf, k.penalty = 0, mmprev = FALSE)

Arguments

obj:

a modelCollection object

X:

the dataset (default = NULL)

clf:

the classifier object

k.penalty:

the penalty to apply for sparsity (default:0).

mmprev:

activate the max.min.prevalence selector (default:FALSE)

Value

an object with sumarized results such as the best models for each k_sparse, their respective scores, the best model, etc

Details

Summarize the results from a given modelCollection object