Man pages for bips-hb/innsight
Get the Insights of Your Neural Network
| AgnosticWrapper | Super class for model-agnostic interpretability methods |
| ConnectionWeights | Connection weights method |
| ConvertedModel | Converted torch-based model |
| Converter | Converter of an artificial neural network |
| DeepLift | Deep learning important features (DeepLift) |
| DeepSHAP | Deep Shapley additive explanations (DeepSHAP) |
| ExpectedGradient | Expected Gradients |
| get_result | Get the result of an interpretation method |
| Gradient | Vanilla Gradient and Gradient\timesInput |
| GradientBased | Super class for gradient-based interpretation methods |
| innsight_ggplot2-class | S4 class for ggplot2-based plots |
| innsight_ggplot2-indexing | Indexing plots of 'innsight_ggplot2' |
| innsight_ggplot2-plus | Generic add function for 'innsight_ggplot2' |
| innsight_ggplot2-print | Generic print, plot and show for 'innsight_ggplot2' |
| innsight-package | Get the insight of your neural network |
| innsight_plotly-class | S4 class for plotly-based plots |
| innsight_plotly-indexing | Indexing plots of 'innsight_plotly' |
| innsight_plotly-print | Generic print, plot and show for 'innsight_plotly' |
| innsight_sugar | Syntactic sugar for object construction |
| IntegratedGradient | Integrated Gradients |
| InterpretingMethod | Super class for interpreting methods |
| LIME | Local interpretable model-agnostic explanations (LIME) |
| LRP | Layer-wise relevance propagation (LRP) |
| plot_global | Get the result of an interpretation method |
| SHAP | Shapley values |
| SmoothGrad | SmoothGrad and SmoothGrad\timesInput |
