Description Usage Arguments Value Author(s) See Also
Functions and methods for training generative neural networks.
1 2 3 4 5 6 7 8 9 10  ## S3 method for class 'gnn_GNN'
fitGNN(x, data, batch.size = nrow(data), n.epoch = 100,
prior = NULL, max.n.prior = 5000, verbose = 2, ...)
## S3 method for class 'gnn_GNN'
fitGNNonce(x, data, batch.size = nrow(data), n.epoch = 100,
prior = NULL, verbose = 2, file = NULL, name = NULL, ...)
## S3 method for class 'gnn_GNN'
is.trained(x)
## S3 method for class 'list'
is.trained(x)

x 

data 
(n, d)matrix containing the n ddimensional observations of the training data. 
batch.size 
number of samples used per stochastic gradient step. 
n.epoch 
number of epochs (one epoch equals one pass through the complete training dataset while updating the GNN's parameters through stochastic gradient steps). 
prior 
(n, d)matrix of prior samples; see also

max.n.prior 
maximum number of prior samples stored in 
verbose 

file 

name 

... 
additional arguments passed to the underlying

the trained x
.
object of class as x
with the trained GNN.
logical
indicating whether x
is trained.
logical
of length
length(x)
indicating, for each component, whether
it is trained.
Marius Hofert
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