Stage2_FeartureSelection {BioM2} | R Documentation |
Stage 2 Fearture Selection
Description
Stage 2 Fearture Selection
Usage
Stage2_FeartureSelection(
Stage2_FeartureSelection_Method = "RemoveHighcor",
data = NULL,
label = NULL,
cutoff = NULL,
preMode = NULL,
classifier = NULL,
verbose = TRUE,
cores = 1
)
Arguments
Stage2_FeartureSelection_Method |
Feature selection methods. Available options are c(NULL, 'cor', 'wilcox.test', 'RemoveHighcor', 'RemoveLinear'). |
data |
The input training dataset. The first column is the label. |
label |
The label of dataset |
cutoff |
The cutoff used for feature selection threshold. It can be any value between 0 and 1. |
preMode |
The prediction mode. Available options are c('probability', 'classification'). |
classifier |
Learners in mlr3 |
verbose |
Whether to print running process information to the console |
cores |
The number of cores used for computation. |
Value
Column index of feature
Author(s)
Shunjie Zhang
[Package BioM2 version 1.0.8 Index]