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-rw-r--r--gnu/packages/machine-learning.scm34
-rw-r--r--gnu/packages/python.scm35
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")