fipL1: Feature importance L1 DLCV
In mikeniemant/nbs: What the Package Does (One Line, Title Case)
View source: R/dlcv_regularization.R
fipL1 R Documentation
Feature importance L1 DLCV
Description
Visualize feature importance of the L1 DLCV results
Usage
fipL1(x, plot = T, min_n = 0, y_nudge = NULL)
Arguments
x
DLCV l1 object generated by the dlcvL1 function
plot
Boolean to visualise plot
min_n
Minimal number of folds to visualise
y_nudge
Nudge y coordinate to visualise number of times features was selected in fold.
Value
Tibble with the feature importances and number of times selected in folds.
mikeniemant/nbs documentation built on June 23, 2022, 4:52 a.m.
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View source: R/dlcv_regularization.R
| fipL1 | R Documentation |
Feature importance L1 DLCV
Description
Visualize feature importance of the L1 DLCV results
Usage
fipL1(x, plot = T, min_n = 0, y_nudge = NULL)
Arguments
x |
DLCV l1 object generated by the dlcvL1 function |
plot |
Boolean to visualise plot |
min_n |
Minimal number of folds to visualise |
y_nudge |
Nudge y coordinate to visualise number of times features was selected in fold. |
Value
Tibble with the feature importances and number of times selected in 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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