DF_dataPre: Decision Forest algorithm: Data pre-processing
In seldas/Dforest: Decision Forest
Description
Usage
Arguments
Value
Description
Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features
Usage
1
DF_dataPre(X, Y = NULL, 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
seldas/Dforest documentation built on May 30, 2019, 8:08 p.m.
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.
Description Usage Arguments Value
Description
Decision Forest algorithm: Data pre-processing, remove All-Zero columns/features and high correlated features
Usage
1 | DF_dataPre(X, Y = NULL, 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
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.