extract_variable_importances: Extract variable importances.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
Description
The generic function for extracting variable importances from
a model within the easyml core framework, if such an
operation is applicable for that model. Users can create their own
extract_variable_importances function for their own class of model.
Usage
1
extract_variable_importances(object)
Arguments
object
A list of class easy_*, where * is the name of the algorithm.
Value
A data.frame, the generated random forest variable importance scores.
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value
Description
The generic function for extracting variable importances from a model within the easyml core framework, if such an operation is applicable for that model. Users can create their own extract_variable_importances function for their own class of model.
Usage
1 | extract_variable_importances(object)
|
Arguments
object |
A list of class |
Value
A data.frame, the generated 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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