htd.holdout: HTD-DAG holdout

In HEMDAG: Hierarchical Ensemble Methods for Directed Acyclic Graphs

Description

Correct the computed scores in a hierarchy according to the HTD-DAG algorithm applying a classical holdout procedure.

Usage

htd.holdout(S, g, testIndex, norm = FALSE, norm.type = NULL)

Arguments

S	a named flat scores matrix with examples on rows and classes on columns.
g	a graph of class graphNEL. It represents the hierarchy of the classes.
testIndex	a vector of integer numbers corresponding to the indexes of the elements (rows) of the scores matrix S to be used in the test set.
norm	a boolean value. Should the flat score matrix be normalized? By default norm=FALSE. If norm=TRUE the matrix S is normalized according to the normalization type selected in norm.type.
norm.type	a string character. It can be one of the following values: NULL (def.): none normalization is applied (norm=FALSE) maxnorm: each score is divided for the maximum value of each class; qnorm: quantile normalization. preprocessCore package is used;

Value

A matrix with the scores of the classes corrected according to the HTD-DAG algorithm. Rows of the matrix are shrunk to testIndex.

Examples

data(graph);
data(scores);
data(test.index);
S.htd <- htd.holdout(S, g, testIndex=test.index, norm=FALSE, norm.type=NULL);

HEMDAG documentation built on Feb. 12, 2021, 5:13 p.m.