[bug#42090] gnu: Add r-shapforxgboost.
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Message ID 20200627174858.10656-1-peterloleungyau@gmail.com
State New
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Series
  • [bug#42090] gnu: Add r-shapforxgboost.
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Commit Message

Peter Lo June 27, 2020, 5:48 p.m. UTC
* gnu/packages/cran.scm (r-shapforxgboost): New variable.
---
 gnu/packages/cran.scm | 35 +++++++++++++++++++++++++++++++++++
 1 file changed, 35 insertions(+)

Comments

Ricardo Wurmus June 27, 2020, 9:18 p.m. UTC | #1
Hi Peter,

> * gnu/packages/cran.scm (r-shapforxgboost): New variable.

Thank you!

I made a couple of minor changes and pushed it to the master branch with
commit bc36937431.

Patch
diff mbox series

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index ab5e57c0e2..8e2a9433c1 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -22325,3 +22325,38 @@  across a wide array of bioinformatic R packages.")
 and clustering large sequence datasets using fast alignment-free k-mer
 counting and recursive k-means partitioning.")
     (license license:gpl3)))
+
+(define-public r-shapforxgboost
+  (package
+    (name "r-shapforxgboost")
+    (version "0.0.4")
+    (source
+      (origin
+        (method url-fetch)
+        (uri (cran-uri "SHAPforxgboost" version))
+        (sha256
+          (base32
+            "0k6bg27wqnkzv82bcahbapmqhiz6rvnx81m23zbjw58c7lwshgnq"))))
+    (properties
+      `((upstream-name . "SHAPforxgboost")))
+    (build-system r-build-system)
+    (propagated-inputs
+      `(("r-bbmisc" ,r-bbmisc)
+        ("r-data-table" ,r-data-table)
+        ("r-ggextra" ,r-ggextra)
+        ("r-ggforce" ,r-ggforce)
+        ("r-ggplot2" ,r-ggplot2)
+        ("r-ggpubr" ,r-ggpubr)
+        ("r-rcolorbrewer" ,r-rcolorbrewer)
+        ("r-xgboost" ,r-xgboost)))
+    (home-page
+      "https://github.com/liuyanguu/SHAPforxgboost")
+    (synopsis "SHAP Plots for 'XGBoost'")
+    (description
+      "The aim of @code{SHAPforxgboost} is to aid in visual data
+investigations using SHAP (SHapley Additive exPlanation) visualization
+plots for @code{XGBoost}.  It provides summary plot, dependence plot,
+interaction plot, and force plot.  It relies on the 'dmlc/xgboost'
+package to produce SHAP values.  Please refer to 'slundberg/shap' for
+the original implementation of SHAP in 'Python'.")
+    (license license:expat)))