Reference

Converter and converted model R6 class for converting a passed model into a torch-based model with all methods pre-implemented in each layer
Converter	Converter of an artificial neural network
ConvertedModel()	Converted torch-based model
Feature attribution methods All implemented feature attribution methods as R6 classes applying the corresponding method to the converted model during initialization
Gradient	Vanilla Gradient and Gradient\(\times\)Input
SmoothGrad	SmoothGrad and SmoothGrad\(\times\)Input
LRP	Layer-wise relevance propagation (LRP)
DeepLift	Deep learning important features (DeepLift)
ConnectionWeights	Connection weights method
Visualization and getting results Functions and S4 classes for getting and visualizing the results
get_result()	Get the result of an interpretation method
innsight_ggplot2	S4 class for ggplot2-based plots
innsight_plotly	S4 class for plotly-based plots
innsight_ggplot2 Generic functions for the S4 class innsight_ggplot2
print(<innsight_ggplot2>) show(<innsight_ggplot2>) plot(<innsight_ggplot2>)	Generic print, plot and show for innsight_ggplot2
`[`(<innsight_ggplot2>) `[[`(<innsight_ggplot2>) `[<-`(<innsight_ggplot2>) `[[<-`(<innsight_ggplot2>)	Indexing plots of innsight_ggplot2
`+`(<innsight_ggplot2>,<ANY>)	Generic add function for innsight_ggplot2
innsight_plotly Generic functions for the S4 class innsight_plotly
print(<innsight_plotly>) show(<innsight_plotly>) plot(<innsight_plotly>)	Generic print, plot and show for innsight_plotly
`[`(<innsight_plotly>) `[[`(<innsight_plotly>)	Indexing plots of innsight_plotly
Superclasses and package information Super classes intended only for the user’s information
innsight innsight-package	Get the insight of your neural network
GradientBased	Super class for gradient-based interpretation methods
InterpretingMethod	Super class for interpreting methods