diff options
Diffstat (limited to 'gnu/packages/machine-learning.scm')
| -rw-r--r-- | gnu/packages/machine-learning.scm | 82 |
1 files changed, 0 insertions, 82 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index d5cff678d8..53d428bd4f 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -1144,55 +1144,8 @@ computing environments.") (description "Scikit-learn provides simple and efficient tools for data mining and data analysis.") - (properties `((python2-variant . ,(delay python2-scikit-learn)))) (license license:bsd-3))) -;; scikit-learn 0.22 and later only supports Python 3, so we stick with -;; an older version here. -(define-public python2-scikit-learn - (let ((base (package-with-python2 (strip-python2-variant python-scikit-learn)))) - (package - (inherit base) - (version "0.20.4") - (source (origin - (method git-fetch) - (uri (git-reference - (url "https://github.com/scikit-learn/scikit-learn") - (commit version))) - (file-name (git-file-name "python-scikit-learn" version)) - (sha256 - (base32 - "08zbzi8yx5wdlxfx9jap61vg1malc9ajf576w7a0liv6jvvrxlpj")))) - (arguments - `(#:python ,python-2 - #:phases - (modify-phases %standard-phases - (add-after 'build 'build-ext - (lambda _ (invoke "python" "setup.py" "build_ext" "--inplace"))) - (replace 'check - (lambda* (#:key tests? #:allow-other-keys) - (when tests? - ;; Restrict OpenBLAS threads to prevent segfaults while testing! - (setenv "OPENBLAS_NUM_THREADS" "1") - - ;; Some tests require write access to $HOME. - (setenv "HOME" "/tmp") - - (invoke "pytest" "sklearn" "-m" "not network" - "-k" - (string-append - ;; This test tries to access the internet. - "not test_load_boston_alternative" - ;; This test fails for unknown reasons - " and not test_rank_deficient_design")))))))) - (inputs - (list openblas)) - (native-inputs - (list python2-pytest python2-pandas ;for tests - python2-cython)) - (propagated-inputs - (list python2-numpy python2-scipy python2-joblib))))) - (define-public python-threadpoolctl (package (name "python-threadpoolctl") @@ -1389,9 +1342,6 @@ forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization.") (license license:expat)))) -(define-public python2-autograd - (package-with-python2 python-autograd)) - (define-public lightgbm (package (name "lightgbm") @@ -1478,38 +1428,6 @@ 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 - `(#:tests? #f ; some test files are missing - #:python ,python-2)) ; only Python 2.7 is supported - (propagated-inputs - (list python2-numpy - python2-scipy - python2-matplotlib - python2-pandas - python2-scikit-learn - python2-pysnptools)) - (native-inputs - (list unzip python2-cython python2-mock 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-hyperopt (package (name "python-hyperopt") |