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gnu: python2-fastlmm: Move to machine-learning.scm.
This is a step towards removing OCaml modules from the closure of (gnu packages python). * gnu/packages/python.scm (python2-fastlmm): Move to... * gnu/packages/machine-learning.scm (python2-fastlmm): ... here.
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2 changed files with 34 additions and 35 deletions
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@ -873,3 +873,37 @@ (define-public vowpal-wabbit
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such as online, hashing, allreduce, reductions, learning2search, active, and
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interactive learning.")
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(license license:bsd-3)))
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(define-public python2-fastlmm
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(package
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(name "python2-fastlmm")
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(version "0.2.21")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "fastlmm" version ".zip"))
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(sha256
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(base32
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"1q8c34rpmwkfy3r4d5172pzdkpfryj561897z9r3x22gq7813x1m"))))
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(build-system python-build-system)
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(arguments
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`(#:python ,python-2)) ; only Python 2.7 is supported
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(propagated-inputs
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`(("python2-numpy" ,python2-numpy)
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("python2-scipy" ,python2-scipy)
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("python2-matplotlib" ,python2-matplotlib)
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("python2-pandas" ,python2-pandas)
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("python2-scikit-learn" ,python2-scikit-learn)
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("python2-pysnptools" ,python2-pysnptools)))
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(native-inputs
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`(("unzip" ,unzip)
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("python2-cython" ,python2-cython)
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("python2-mock" ,python2-mock)
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("python2-nose" ,python2-nose)))
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(home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/")
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(synopsis "Perform genome-wide association studies on large data sets")
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(description
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"FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed
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Models, is a program for performing both single-SNP and SNP-set genome-wide
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association studies (GWAS) on extremely large data sets.")
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(license license:asl2.0)))
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@ -103,7 +103,6 @@ (define-module (gnu packages python)
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#:use-module (gnu packages libffi)
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#:use-module (gnu packages linux)
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#:use-module (gnu packages llvm)
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#:use-module (gnu packages machine-learning)
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#:use-module (gnu packages man)
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#:use-module (gnu packages maths)
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#:use-module (gnu packages multiprecision)
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@ -3228,40 +3227,6 @@ (define-public python-spectra
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(define-public python2-spectra
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(package-with-python2 python-spectra))
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(define-public python2-fastlmm
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(package
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(name "python2-fastlmm")
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(version "0.2.21")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "fastlmm" version ".zip"))
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(sha256
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(base32
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"1q8c34rpmwkfy3r4d5172pzdkpfryj561897z9r3x22gq7813x1m"))))
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(build-system python-build-system)
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(arguments
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`(#:python ,python-2)) ; only Python 2.7 is supported
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(propagated-inputs
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`(("python2-numpy" ,python2-numpy)
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("python2-scipy" ,python2-scipy)
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("python2-matplotlib" ,python2-matplotlib)
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("python2-pandas" ,python2-pandas)
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("python2-scikit-learn" ,python2-scikit-learn)
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("python2-pysnptools" ,python2-pysnptools)))
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(native-inputs
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`(("unzip" ,unzip)
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("python2-cython" ,python2-cython)
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("python2-mock" ,python2-mock)
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("python2-nose" ,python2-nose)))
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(home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/")
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(synopsis "Perform genome-wide association studies on large data sets")
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(description
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"FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed
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Models, is a program for performing both single-SNP and SNP-set genome-wide
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association studies (GWAS) on extremely large data sets.")
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(license license:asl2.0)))
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(define-public python-numpy-documentation
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(package
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(name "python-numpy-documentation")
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