extract_variable_importances.easy_random_forest: Extract variable importance scores from a random forest...
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
View source: R/random_forest.R
Description
This function wraps the procedure for extracting variable importances
from a random forest model and makes it accessible
to the easyml core framework.
Usage
1
2
## S3 method for class 'easy_random_forest'
extract_variable_importances(object)
Arguments
object
A list of class easy_random_forest.
Value
A data.frame, the replicated random forest variable importance scores.
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value
View source: R/random_forest.R
Description
This function wraps the procedure for extracting variable importances from a random forest model and makes it accessible to the easyml core framework.
Usage
1 2 | ## S3 method for class 'easy_random_forest'
extract_variable_importances(object)
|
Arguments
object |
A list of class |
Value
A data.frame, the replicated random forest variable importance scores.
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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