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.
This commit is contained in:
Ludovic Courtès 2019-01-07 14:14:50 +01:00
parent 6fd5a80dbe
commit 915c6bf60c
No known key found for this signature in database
GPG key ID: 090B11993D9AEBB5
2 changed files with 34 additions and 35 deletions

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@ -873,3 +873,37 @@ (define-public vowpal-wabbit
such as online, hashing, allreduce, reductions, learning2search, active, and
interactive learning.")
(license license:bsd-3)))
(define-public python2-fastlmm
(package
(name "python2-fastlmm")
(version "0.2.21")
(source
(origin
(method url-fetch)
(uri (pypi-uri "fastlmm" version ".zip"))
(sha256
(base32
"1q8c34rpmwkfy3r4d5172pzdkpfryj561897z9r3x22gq7813x1m"))))
(build-system python-build-system)
(arguments
`(#:python ,python-2)) ; only Python 2.7 is supported
(propagated-inputs
`(("python2-numpy" ,python2-numpy)
("python2-scipy" ,python2-scipy)
("python2-matplotlib" ,python2-matplotlib)
("python2-pandas" ,python2-pandas)
("python2-scikit-learn" ,python2-scikit-learn)
("python2-pysnptools" ,python2-pysnptools)))
(native-inputs
`(("unzip" ,unzip)
("python2-cython" ,python2-cython)
("python2-mock" ,python2-mock)
("python2-nose" ,python2-nose)))
(home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/")
(synopsis "Perform genome-wide association studies on large data sets")
(description
"FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed
Models, is a program for performing both single-SNP and SNP-set genome-wide
association studies (GWAS) on extremely large data sets.")
(license license:asl2.0)))

View file

@ -103,7 +103,6 @@ (define-module (gnu packages python)
#:use-module (gnu packages libffi)
#:use-module (gnu packages linux)
#:use-module (gnu packages llvm)
#:use-module (gnu packages machine-learning)
#:use-module (gnu packages man)
#:use-module (gnu packages maths)
#:use-module (gnu packages multiprecision)
@ -3228,40 +3227,6 @@ (define-public python-spectra
(define-public python2-spectra
(package-with-python2 python-spectra))
(define-public python2-fastlmm
(package
(name "python2-fastlmm")
(version "0.2.21")
(source
(origin
(method url-fetch)
(uri (pypi-uri "fastlmm" version ".zip"))
(sha256
(base32
"1q8c34rpmwkfy3r4d5172pzdkpfryj561897z9r3x22gq7813x1m"))))
(build-system python-build-system)
(arguments
`(#:python ,python-2)) ; only Python 2.7 is supported
(propagated-inputs
`(("python2-numpy" ,python2-numpy)
("python2-scipy" ,python2-scipy)
("python2-matplotlib" ,python2-matplotlib)
("python2-pandas" ,python2-pandas)
("python2-scikit-learn" ,python2-scikit-learn)
("python2-pysnptools" ,python2-pysnptools)))
(native-inputs
`(("unzip" ,unzip)
("python2-cython" ,python2-cython)
("python2-mock" ,python2-mock)
("python2-nose" ,python2-nose)))
(home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/")
(synopsis "Perform genome-wide association studies on large data sets")
(description
"FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed
Models, is a program for performing both single-SNP and SNP-set genome-wide
association studies (GWAS) on extremely large data sets.")
(license license:asl2.0)))
(define-public python-numpy-documentation
(package
(name "python-numpy-documentation")