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-rw-r--r--var/spack/repos/builtin/packages/r-rsnns/package.py21
1 files changed, 10 insertions, 11 deletions
diff --git a/var/spack/repos/builtin/packages/r-rsnns/package.py b/var/spack/repos/builtin/packages/r-rsnns/package.py
index 41c5298225..235421cdc1 100644
--- a/var/spack/repos/builtin/packages/r-rsnns/package.py
+++ b/var/spack/repos/builtin/packages/r-rsnns/package.py
@@ -8,20 +8,19 @@ from spack import *
class RRsnns(RPackage):
- """Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
+ """Neural Networks using the Stuttgart Neural Network Simulator (SNNS).
- The Stuttgart Neural Network Simulator (SNNS) is a library containing
- many standard implementations of neural networks. This package wraps the
- SNNS functionality to make it available from within R. Using the RSNNS
- low-level interface, all of the algorithmic functionality and flexibility
- of SNNS can be accessed. Furthermore, the package contains a convenient
- high-level interface, so that the most common neural network topologies
- and learning algorithms integrate seamlessly into R."""
+ The Stuttgart Neural Network Simulator (SNNS) is a library containing many
+ standard implementations of neural networks. This package wraps the SNNS
+ functionality to make it available from within R. Using the RSNNS low-level
+ interface, all of the algorithmic functionality and flexibility of SNNS can
+ be accessed. Furthermore, the package contains a convenient high-level
+ interface, so that the most common neural network topologies and learning
+ algorithms integrate seamlessly into R."""
- homepage = "https://sci2s.ugr.es/dicits/software/RSNNS"
- url = "https://cloud.r-project.org/src/contrib/RSNNS_0.4-7.tar.gz"
- list_url = "https://cloud.r-project.org/src/contrib/Archive/RSNNS"
+ cran = "RSNNS"
+ version('0.4-14', sha256='7f6262cb2b49b5d5979ccce9ded9cbb2c0b348fd7c9eabc1ea1d31c51a102c20')
version('0.4-12', sha256='b18dfeda71573bc92c6888af72da407651bff7571967965fd3008f0d331743b9')
version('0.4-11', sha256='87943126e98ae47f366e3025d0f3dc2f5eb0aa2924508fd9ee9a0685d7cb477c')
version('0.4-10.1', sha256='38bb3d172390bd01219332ec834744274b87b01f94d23b29a9d818c2bca04071')