plotnn: Plot neural network architecture

In andrew-mcinerney/statnn: Interpreting Neural Networks From a Statistical Perspective

Plot neural network architecture

Description

plotnn It is designed for an inspection of the weights for objects of class interpretnn.

Usage

plotnn(
  x,
  rep = NULL,
  x.entry = NULL,
  x.out = NULL,
  radius = 0.15,
  arrow.length = 0.2,
  intercept = FALSE,
  intercept.factor = 0.4,
  information = FALSE,
  information.pos = 0.1,
  col.entry.synapse = "black",
  col.entry = "black",
  col.hidden = "black",
  col.hidden.synapse = "black",
  col.out = "black",
  col.out.synapse = "black",
  col.intercept = "black",
  col.sig.synapse = "black",
  col.insig.synapse = "lightgrey",
  col.sig.node = "black",
  col.insig.node = "lightgrey",
  fontsize = 12,
  dimension = 6,
  show.weights = FALSE,
  file = NULL,
  rounding = 3,
  alpha = 0.05,
  lambda = 0,
  ...
)

Arguments

x	an object of class interpretnnet
rep	repetition of the neural network. If rep="best", the repetition with the smallest error will be plotted. If not stated all repetitions will be plotted, each in a separate window.
x.entry	x-coordinate of the entry layer. Depends on the arrow.length in default.
x.out	x-coordinate of the output layer.
radius	radius of the neurons.
arrow.length	length of the entry and out arrows.
intercept	a logical value indicating whether to plot the intercept.
intercept.factor	x-position factor of the intercept. The closer the factor is to 0, the closer the intercept is to its left neuron.
information	a logical value indicating whether to add the error and steps to the plot.
information.pos	y-position of the information.
col.entry.synapse	color of the synapses leading to the input neurons.
col.entry	color of the input neurons.
col.hidden	color of the neurons in the hidden layer.
col.hidden.synapse	color of the weighted synapses.
col.out	color of the output neurons.
col.out.synapse	color of the synapses leading away from the output neurons.
col.intercept	color of the intercept.
col.sig.synapse	color of the significant synapses.
col.insig.synapse	color of the insignificant synapses.
col.sig.node	color of the significant input nodes.
col.insig.node	color of the insignificant input nodes.
fontsize	fontsize of the text.
dimension	size of the plot in inches.
show.weights	a logical value indicating whether to print the calculated weights above the synapses.
file	a character string naming the plot to write to. If not stated, the plot will not be saved.
rounding	number of decimal places to round values.
alpha	significane level.
lambda	ridge penalty.
...	arguments to be passed to methods, such as graphical parameters (see par).

Value

plot of weights and their significance

andrew-mcinerney/statnn documentation built on June 30, 2024, 4:09 p.m.