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 RGbm(RPackage):
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"""Generalized Boosted Regression Models.
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An implementation of extensions to Freund and Schapire's AdaBoost algorithm
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and Friedman's gradient boosting machine. Includes regression methods for
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least squares, absolute loss, t-distribution loss, quantile regression,
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logistic, multinomial logistic, Poisson, Cox proportional hazards partial
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likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning
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to Rank measures (LambdaMart). Originally developed by Greg Ridgeway."""
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cran = "gbm"
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version("2.1.8.1", sha256="8d2456124552658ee9500707c4e9992cf42cb88705008c32ea258efb4f2be80b")
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version("2.1.8", sha256="7d5de3b980b8f23275e86ac9bed48a497c9aa53c58e407dfd676309f38272ec1")
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version("2.1.5", sha256="06fbde10639dfa886554379b40a7402d1f1236a9152eca517e97738895a4466f")
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version("2.1.3", sha256="eaf24be931d762f1ccca4f90e15997719d01005f152160a3d20d858a0bbed92b")
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depends_on("r@2.9.0:", type=("build", "run"))
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depends_on("r-lattice", type=("build", "run"))
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depends_on("r-survival", type=("build", "run"))
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depends_on("r-gridextra", type=("build", "run"), when="@2.1.5")
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