Print enpls.fs object.
Usage
# S3 method for enpls.fs
print(x, sort = TRUE, nvar = NULL, ...)
Arguments
- x
An object of class
enpls.fs
.- sort
Should the variables be sorted in decreasing order of importance?
- nvar
Number of top variables to show. Ignored if
sort = FALSE
.- ...
Additional parameters for
print
.
See also
See enpls.fs
for measuring feature importance with
ensemble partial least squares regressions.
Author
Nan Xiao <https://nanx.me>
Examples
data("alkanes")
x <- alkanes$x
y <- alkanes$y
set.seed(42)
fs <- enpls.fs(x, y, reptimes = 100)
print(fs)
#> Variable Importance by Ensemble Partial Least Squares
#> ---
#> Importance
#> Chi.C.3 2.3709543
#> MEDV.23 2.0805190
#> MEDV.33 2.0263261
#> Chi.P.4 1.9926551
#> Chi.P.5 1.5626623
#> Estate.1 1.4482609
#> MEDV.13 1.3793226
#> MEDV.22 1.2299934
#> Chi.P.3 1.1104510
#> MEDV.12 1.0635508
#> MEDV.11 0.9492159
#> Estate.2 0.8926518
#> Chi.P.2 0.8470757
#> Chi.PC.4 0.7459319
#> Kappa.1 0.7190082
#> Kappa.3 0.7063439
#> Chi.P.1 0.4901006
#> Kappa.2 0.4518056
#> Kappa.4 0.3671246
#> Chi.P.0 0.3355310
#> Estate.3 0.2590686
print(fs, nvar = 10L)
#> Variable Importance by Ensemble Partial Least Squares
#> ---
#> Importance
#> Chi.C.3 2.370954
#> MEDV.23 2.080519
#> MEDV.33 2.026326
#> Chi.P.4 1.992655
#> Chi.P.5 1.562662
#> Estate.1 1.448261
#> MEDV.13 1.379323
#> MEDV.22 1.229993
#> Chi.P.3 1.110451
#> MEDV.12 1.063551