process_variable_importances: Process variable importances.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
Takes the variable importances returned by the
generate_variable_importances function and prepares
the variable importances for plotting.
Usage
1
process_variable_importances(variable_importances)
Arguments
variable_importances
A data.frame, the replicated coefficients.
Value
A data.frame; the replicated variable importances processed for easy plotting.
See Also
Other utils: correlation_test,
process_coefficients,
reduce_cores,
remove_variables
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value See Also
Description
Takes the variable importances returned by the generate_variable_importances function and prepares the variable importances for plotting.
Usage
1 | process_variable_importances(variable_importances)
|
Arguments
variable_importances |
A data.frame, the replicated coefficients. |
Value
A data.frame; the replicated variable importances processed for easy plotting.
See Also
Other utils: correlation_test,
process_coefficients,
reduce_cores,
remove_variables
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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