31 lines
1.4 KiB
Python
31 lines
1.4 KiB
Python
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class RRsnns(RPackage):
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"""Neural Networks using the Stuttgart Neural Network Simulator (SNNS).
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The Stuttgart Neural Network Simulator (SNNS) is a library containing many
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standard implementations of neural networks. This package wraps the SNNS
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functionality to make it available from within R. Using the RSNNS low-level
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interface, all of the algorithmic functionality and flexibility of SNNS can
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be accessed. Furthermore, the package contains a convenient high-level
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interface, so that the most common neural network topologies and learning
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algorithms integrate seamlessly into R."""
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cran = "RSNNS"
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version("0.4-14", sha256="7f6262cb2b49b5d5979ccce9ded9cbb2c0b348fd7c9eabc1ea1d31c51a102c20")
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version("0.4-12", sha256="b18dfeda71573bc92c6888af72da407651bff7571967965fd3008f0d331743b9")
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version("0.4-11", sha256="87943126e98ae47f366e3025d0f3dc2f5eb0aa2924508fd9ee9a0685d7cb477c")
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version("0.4-10.1", sha256="38bb3d172390bd01219332ec834744274b87b01f94d23b29a9d818c2bca04071")
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version("0.4-7", sha256="ec941dddda55e4e29ed281bd8768a93d65e0d86d56ecab0f2013c64c8d1a4994")
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depends_on("r@2.10.0:", type=("build", "run"))
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depends_on("r-rcpp@0.8.5:", type=("build", "run"))
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