select_boruta: Perform Boruta algorithm for selecting most important...
In ModelOriented/forester: Quick and Simple Tools for Training and Testing of Tree-Based Models
View source: R/preprocessing_feature_selection.R
select_boruta R Documentation
Perform Boruta algorithm for selecting most important features
Description
Perform Boruta algorithm for selecting most important features
Usage
select_boruta(data, y)
Arguments
data
A data source before preprocessing, that is one of the major R formats:
data.table, data.frame, matrix, and so on.
y
A string that indicates a target column name.
Value
A list containing two objects:
-
`data` A dataset with selected columns,
-
`idx` The indexes of removed columns.
ModelOriented/forester documentation built on June 6, 2024, 7:29 a.m.
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View source: R/preprocessing_feature_selection.R
| select_boruta | R Documentation |
Perform Boruta algorithm for selecting most important features
Description
Perform Boruta algorithm for selecting most important features
Usage
select_boruta(data, y)
Arguments
data |
A data source before preprocessing, that is one of the major R formats: data.table, data.frame, matrix, and so on. |
y |
A string that indicates a target column name. |
Value
A list containing two objects:
-
`data`A dataset with selected columns, -
`idx`The indexes of removed columns.
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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