nplot: Create a plot for a neural network model

In SEMdeep: Structural Equation Modeling with Deep Neural Network and Machine Learning

Create a plot for a neural network model

Description

The function draws a neural network plot as a neural interpretation diagram using with the plotnet function of the NeuralNetTools R package.

Usage

nplot(dnn.fit, bias = FALSE, ...)

Arguments

dnn.fit	A neural network model from cito R package.
bias	A logical value, indicating whether to draw biases in the layers (default = FALSE).
...	Currently ignored.

Details

The induced subgraph of the input graph mapped on data variables. Based on the estimated connection weights, if the connection weight W > 0, the connection is activated and it is highlighted in red; if W < 0, the connection is inhibited and it is highlighted in blue.

Value

The function invisibly returns the graphical object representing the neural network architecture designed by NeuralNetTools.

Author(s)

Mario Grassi [e-mail]

References

Beck, M.W. 2018. NeuralNetTools: Visualization and Analysis Tools for Neural Networks. Journal of Statistical Software. 85(11):1-20.

Examples

if (torch::torch_is_installed()){

# load ALS data
ig<- alsData$graph
data<- alsData$exprs
data<- transformData(data)$data

#ncores<- parallel::detectCores(logical = FALSE)
dnn0 <- SEMdnn(ig, data, train=1:nrow(data), grad = FALSE,
			#hidden = 5*K, link = "selu", bias = TRUE,
			hidden = c(10, 10, 10), link = "selu", bias =TRUE,
			validation = 0, epochs = 32, ncores = 2)

 for (j in 1:length(dnn0$model)) {
   nnj <- dnn0$model[[j]][[1]]
   nplot(nnj)
   Sys.sleep(5)
 }
}

SEMdeep documentation built on April 12, 2025, 2:24 a.m.