Plot total variance of different neural networks

Visualizes the results of assessAutoencoderOptions() by displaying the total variance of each combination of an activation function (such as relu, sigmoid) and the number of bottleneck neurons.

The results depend on further adjustments like number of layers, dropout and number of epochs.

plotAutoencoderAssessment(
  object,
  activation_subset = NULL,
  clrp = NULL,
  verbose = NULL
)

Arguments

object

A valid spata-object.

Value

ggplot_family return