GNN_basics {gnn} | R Documentation |
Basic functions and methods for objects of S3
class "gnn_GNN"
.
## S3 method for class 'gnn_GNN' print(x, ...) ## S3 method for class 'gnn_GNN' str(object, ...) ## S3 method for class 'gnn_GNN' summary(object, ...) ## S3 method for class 'gnn_GNN' dim(x) ## S3 method for class 'gnn_GNN' is.GNN(x) ## S3 method for class 'list' is.GNN(x)
x |
|
object |
object of |
... |
currently not used. |
return value of the print()
method for objects of class "list"
.
nothing, as str()
returns
nothing when applied to objects of class "list"
.
return value of the summary()
method for objects of class "list"
.
slot dim
of x
, so a vector of
dimensions of input, hidden and output layers.
logical
of length equal to the
length of x
indicating, for each component,
whether it is an object of class "gnn_GNN"
.
Marius Hofert
if(TensorFlow_available()) { # rather restrictive (due to R-Forge, winbuilder) library(gnn) # for being standalone d <- 2 dim <- c(d, 300, d) # dimensions of the input, hidden and output layers GMMN <- FNN(dim) # define the GMMN model stopifnot(is.GNN(GMMN)) # check for being a GNN GMMN # print() method str(GMMN) # str() method summary(GMMN) # summary() method stopifnot(dim(GMMN) == c(d, 300, d)) # dim() method }