generate_variable_importances: Generate variable importances for a model (if applicable).
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
Generate variable importances for a model (if applicable).
Usage
1
generate_variable_importances(object)
Arguments
object
A list of class easy_*, where * is the name of the algorithm.
Value
A data.frame, the generated variable importance scores.
See Also
Other generate: generate_coefficients,
generate_model_performance,
generate_predictions
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value See Also
Description
Generate variable importances for a model (if applicable).
Usage
1 | generate_variable_importances(object)
|
Arguments
object |
A list of class |
Value
A data.frame, the generated variable importance scores.
See Also
Other generate: generate_coefficients,
generate_model_performance,
generate_predictions
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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