process_coefficients: Process coefficients.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
Takes the coefficients returned by the generate_coefficients function
and prepares the coefficients for plotting.
Usage
1
process_coefficients(coefficients, survival_rate_cutoff = 0.05)
Arguments
coefficients
A data.frame, the replicated coefficients.
survival_rate_cutoff
A numeric vector of length one; for easy_glmnet, specifies the minimal threshold (as a percentage) a coefficient must appear out of n_samples. Defaults to 0.05.
Value
A data.frame; the replicated coefficients processed for easy plotting.
See Also
Other utils: correlation_test,
process_variable_importances,
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 coefficients returned by the generate_coefficients function and prepares the coefficients for plotting.
Usage
1 | process_coefficients(coefficients, survival_rate_cutoff = 0.05)
|
Arguments
coefficients |
A data.frame, the replicated coefficients. |
survival_rate_cutoff |
A numeric vector of length one; for |
Value
A data.frame; the replicated coefficients processed for easy plotting.
See Also
Other utils: correlation_test,
process_variable_importances,
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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