runHSS: runHSS

Description Usage Arguments

Description

This function runs hybrid subset selection.

Usage

1
runHSS(x, y, score.method, custom.score.method = NULL, downsample = TRUE)

Arguments

x

table with predictors of interest

y

vector of class labels

score.method

scoring metric for feature selection using HSS. Options include: 'euclidean', 'silhouette', 'pixel.density', 'pixel.entropy', or 'custom'.

custom.score.method

function for your custom scoring metric. Score.method must be 'custom'

downsample

boolean indicating whether to downsample data. Defaults to TRUE. Downsamples to 5000 cells per class label, or balanced sampling based on the class label with minimum # of cells.


mamouzgar/hsslda_dep documentation built on Dec. 21, 2021, 1:46 p.m.