DF_dataPre: Decision Forest algorithm: Data pre-processing
In Dforest: Decision Forest
Description
Usage
Arguments
Value
Examples
Description
Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features
Usage
1
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
1
2
3
##data(iris)
X = iris[,1:4]
Keep_feat = DF_dataPre(X)
Dforest documentation built on May 2, 2019, 6:38 a.m.
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Description Usage Arguments Value Examples
Description
Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features
Usage
1 | 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
1 2 3 | ##data(iris)
X = iris[,1:4]
Keep_feat = DF_dataPre(X)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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