fipLr: Feature importance Linear Regression
In mikeniemant/nbs: What the Package Does (One Line, Title Case)
fipLr R Documentation
Feature importance Linear Regression
Description
Visualize feature importance of the Linear Regression DLCV results
Usage
fipLr(x, plot = T)
Arguments
x
DLCV linear regression object generated by the dlcvLr function
plot
Boolean to visualise plot
Value
Tibble with the feature importances in all folds.
mikeniemant/nbs documentation built on June 23, 2022, 4:52 a.m.
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| fipLr | R Documentation |
Feature importance Linear Regression
Description
Visualize feature importance of the Linear Regression DLCV results
Usage
fipLr(x, plot = T)
Arguments
x |
DLCV linear regression object generated by the dlcvLr function |
plot |
Boolean to visualise plot |
Value
Tibble with the feature importances in all folds.
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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