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Update DESCRIPTION, NEWS and cran-comments
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@@ -1,7 +1,7 @@ | ||
Type: Package | ||
Package: innsight | ||
Title: Get the Insights of your Neural Network | ||
Version: 0.2.0 | ||
Title: Get the Insights of Your Neural Network | ||
Version: 0.2.1 | ||
Authors@R: c( | ||
person("Niklas", "Koenen", , "[email protected]", role = c("aut", "cre"), | ||
comment = c(ORCID = "0000-0002-4623-8271")), | ||
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@@ -10,9 +10,9 @@ Authors@R: c( | |
Description: Interpretability methods to analyze the behavior and | ||
individual predictions of modern neural networks. Implemented methods | ||
are: 'Connection Weights' described by Olden et al. (2004) | ||
<doi:10.1016/j.ecolmodel.2004.03.013>, Layer-wise Relevance | ||
Propagation ('LRP') described by Bach et al. (2015) | ||
<doi:10.1371/journal.pone.0130140>, Deep Learning Important Features | ||
<doi:10.1016/j.ecolmodel.2004.03.013>, layer-wise relevance | ||
propagation ('LRP') described by Bach et al. (2015) | ||
<doi:10.1371/journal.pone.0130140>, deep learning important features | ||
('DeepLIFT') described by Shrikumar et al. (2017) <arXiv:1704.02685> | ||
and gradient-based methods like 'SmoothGrad' described by Smilkov et | ||
al. (2017) <arXiv:1706.03825>, 'Gradient x Input' described by | ||
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@@ -50,6 +50,7 @@ VignetteBuilder: | |
knitr | ||
Config/testthat/edition: 3 | ||
Encoding: UTF-8 | ||
Language: en-US | ||
Roxygen: list(markdown = TRUE, r6 = TRUE) | ||
RoxygenNote: 7.2.3 | ||
Collate: | ||
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@@ -76,4 +77,3 @@ Collate: | |
'utils_plotly.R' | ||
'innsight_ggplot2.R' | ||
'innsight_plotly.R' | ||
Language: en-US |
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