Print enpls.fs object.
Usage
# S3 method for class '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 2.4893750
#> MEDV.23 2.1020096
#> MEDV.33 2.0385631
#> Chi.P.4 2.0380899
#> Chi.P.5 1.5874477
#> Estate.1 1.4055916
#> MEDV.13 1.4055718
#> MEDV.22 1.2215816
#> Chi.P.3 1.1170859
#> MEDV.12 1.0652457
#> MEDV.11 0.9543018
#> Chi.P.2 0.8644542
#> Estate.2 0.8576835
#> Chi.PC.4 0.7431531
#> Kappa.1 0.7276681
#> Kappa.3 0.7165651
#> Chi.P.1 0.5003089
#> Kappa.2 0.4640071
#> Kappa.4 0.3839143
#> Chi.P.0 0.3616612
#> Estate.3 0.2329668
print(fs, nvar = 10L)
#> Variable Importance by Ensemble Partial Least Squares
#> ---
#> Importance
#> Chi.C.3 2.489375
#> MEDV.23 2.102010
#> MEDV.33 2.038563
#> Chi.P.4 2.038090
#> Chi.P.5 1.587448
#> Estate.1 1.405592
#> MEDV.13 1.405572
#> MEDV.22 1.221582
#> Chi.P.3 1.117086
#> MEDV.12 1.065246