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innsight
View on CRAN: Click
here
Download and install innsight package within the R console
Install from CRAN:
install.packages("innsight")
Install from Github:
library("remotes")
install_github("cran/innsight")
Install by package version:
library("remotes")
install_version("innsight", "0.3.1")
Attach the package and use:
library("innsight")
Maintained by
Niklas Koenen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.innsight . https://github.com/bips-hb/innsight/issues/ . https://bips-hb.github.io/innsight/ . https://github.com/bips-hb/innsight/ . innsight citation info . innsight results . innsight.pdf . Introduction to innsight . innsight_0.3.1.tar.gz . innsight_0.3.1.zip . innsight_0.3.1.zip . innsight_0.3.1.zip . innsight_0.3.1.tgz . innsight_0.3.1.tgz . innsight_0.3.1.tgz . innsight_0.3.1.tgz . innsight_0.3.1.tgz . innsight_0.3.1.tgz . innsight archive . https://CRAN.R-project.org/package=innsight .
First Published: 2021-11-22
Latest Update: 2023-04-16
Description:
Interpretation methods for analyzing the behavior and individual
predictions of modern neural networks in a three-step procedure: Converting
the model, running the interpretation method, and visualizing the results.
Implemented methods are, e.g., 'Connection Weights' described by Olden et al. (2004)
, layer-wise relevance
propagation ('LRP') described by Bach et al. (2015)
, deep learning important features
('DeepLIFT') described by Shrikumar et al. (2017)
and gradient-based methods like 'SmoothGrad' described by Smilkov et
al. (2017) , 'Gradient x Input' described by
Baehrens et al. (2009) or 'Vanilla Gradient'.
How to cite:
Niklas Koenen (2021). innsight: Get the Insights of Your Neural Network. R package version 0.3.1, https://cran.r-project.org/web/packages/innsight. Accessed 29 Mar. 2025.
Previous versions and publish date:
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View innsight citation profile
Other R packages that innsight depends,
imports, suggests or enhances
Complete documentation for innsight
Functions, R codes and Examples using
the innsight R package
Some associated functions: AgnosticWrapper . ConnectionWeights . ConvertedModel . Converter . DeepLift . DeepSHAP . ExpectedGradient . Gradient . GradientBased . IntegratedGradient . InterpretingMethod . LIME . LRP . SHAP . SmoothGrad . get_result . innsight-package . innsight_ggplot2-class . innsight_ggplot2-indexing . innsight_ggplot2-plus . innsight_ggplot2-print . innsight_plotly-class . innsight_plotly-indexing . innsight_plotly-print . innsight_sugar . plot_global .
Some associated R codes: AgnosticMethods.R . AgnosticWrapper.R . ConnectionWeights.R . Convert_keras.R . Convert_neuralnet.R . Convert_torch.R . ConvertedModel.R . Converter.R . DeepLift.R . GradienBased.R . InterpretingLayer.R . InterpretingMethod.R . LRP.R . Layer_conv1d.R . Layer_conv2d.R . Layer_dense.R . Layer_normalization.R . Layer_other.R . Layer_pooling.R . innsight.R . innsight_ggplot2.R . innsight_plotly.R . innsight_sugar.R . utils.R . utils_ggplot.R . utils_plotly.R . Full innsight package functions and examples
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