digestModelCollection: digestModelCollection

In predomics/predomicspkg: Interpretable Prediction in Omics Data

digestModelCollection

Description

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)

Details

Summarize the results from a given modelCollection object

Value

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

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.