DF_dataPre {Dforest} | R Documentation |
Decision Forest algorithm: Data pre-processing
Description
Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features
Usage
DF_dataPre(X, thres = 0.95)
Arguments
X |
Training Dataset |
thres |
Correlation Coefficient threshold to filter out high correlated features; default is 0.95 |
Value
Keep_feat: qualified features in data matrix after filtering
Examples
##data(iris)
X = iris[,1:4]
Keep_feat = DF_dataPre(X)
[Package Dforest version 0.4.2 Index]