diff options
| -rw-r--r-- | gnu/packages/machine-learning.scm | 34 | ||||
| -rw-r--r-- | gnu/packages/python.scm | 35 |
2 files changed, 34 insertions, 35 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))) diff --git a/gnu/packages/python.scm b/gnu/packages/python.scm index 2fa510067b..a1a9b44dc4 100644 --- a/gnu/packages/python.scm +++ b/gnu/packages/python.scm @@ -103,7 +103,6 @@ #: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 @@ color scales, and color space conversion easy. It has support for: (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") |