Display the structure of a fgpm
object and the value of the parameters (variance and length-scales).
# S4 method for fgpm
summary(object, ...)An fgpm object.
Not used yet.
This method is actually identical to the show method
for this class which is called when the name of the object is
entered in an interactive session.
m <- xm@model
class(m)
#> [1] "fgpm"
#> attr(,"package")
#> [1] "funGp"
summary(m)
#>
#> Gaussian Process Model____________________________________
#> * Scalar inputs: 4
#> * Functional inputs: 2
#>
#> | Input | Orig. dim | Proj. dim | Basis | Distance |
#> |:-----:|:---------:|:---------:|:---------:|:----------:|
#> | F1 | 10 | 1 | B-splines | L2_byindex |
#> | F2 | 22 | 3 | B-splines | L2_byindex |
#>
#> * Total data points: 32
#> * Trained with: 32
#> * Kernel type: gauss
#> * Convergence: 0
#> * NegLogLik: 194.8887
#> * Hyperparameters:
#> -> variance: 193630.7962
#> -> length-scale:
#> ls(X1): 2.0000
#> ls(X2): 2.0000
#> ls(X3): 1.8137
#> ls(X4): 2.0000
#> ls(F1): 0.6538
#> ls(F2): 1.3678
#> ls(F2): 1.9673
#> ls(F2): 1.2500
#> __________________________________________________________
m
#>
#> Gaussian Process Model____________________________________
#> * Scalar inputs: 4
#> * Functional inputs: 2
#>
#> | Input | Orig. dim | Proj. dim | Basis | Distance |
#> |:-----:|:---------:|:---------:|:---------:|:----------:|
#> | F1 | 10 | 1 | B-splines | L2_byindex |
#> | F2 | 22 | 3 | B-splines | L2_byindex |
#>
#> * Total data points: 32
#> * Trained with: 32
#> * Kernel type: gauss
#> * Convergence: 0
#> * NegLogLik: 194.8887
#> * Hyperparameters:
#> -> variance: 193630.7962
#> -> length-scale:
#> ls(X1): 2.0000
#> ls(X2): 2.0000
#> ls(X3): 1.8137
#> ls(X4): 2.0000
#> ls(F1): 0.6538
#> ls(F2): 1.3678
#> ls(F2): 1.9673
#> ls(F2): 1.2500
#> __________________________________________________________