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author | Ludovic Courtès <ludo@gnu.org> | 2019-01-07 14:14:50 +0100 |
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committer | Ludovic Courtès <ludo@gnu.org> | 2019-01-07 14:41:01 +0100 |
commit | 915c6bf60cd6bd69fafc3acc69fac1242c3d96a3 (patch) | |
tree | 1fd9d2ce43bca2ea32bffba36af7e232de44db10 /gnu/packages/machine-learning.scm | |
parent | 6fd5a80dbe7013fc37aa1228051d02b42ee76527 (diff) |
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.
Diffstat (limited to 'gnu/packages/machine-learning.scm')
-rw-r--r-- | gnu/packages/machine-learning.scm | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 084e62cca4..39ac7cad7c 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -873,3 +873,37 @@ the following advantages: 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))) |