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viprs

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0.1.1 viprs-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.1-cp39-cp39-macosx_10_9_x86_64.whl
viprs-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
viprs-0.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.1-cp38-cp38-macosx_10_9_x86_64.whl
viprs-0.1.1-cp38-cp38-macosx_11_0_arm64.whl
viprs-0.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.1-cp312-cp312-macosx_10_9_x86_64.whl
viprs-0.1.1-cp312-cp312-macosx_11_0_arm64.whl
viprs-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.1-cp311-cp311-macosx_10_9_x86_64.whl
viprs-0.1.1-cp311-cp311-macosx_11_0_arm64.whl
viprs-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.1-cp310-cp310-macosx_10_9_x86_64.whl
viprs-0.1.1-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: viprs
Version: 0.1.1
Filename: viprs-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
Download: [link]
Size: 618893
MD5: bd11e8fcabcc8b7334a273d37802c1f4
SHA256: 99074dc74d8f1aacfb6aeaba9f7228f51d014e5fd0b5f6529af8ca725d0f7637
Uploaded: 2024-04-25 18:48:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: viprs
Version: 0.1.1
Summary: Variational Inference of Polygenic Risk Scores (VIPRS)
Author: Shadi Zabad
Author-Email: shadi.zabad[at]mail.mcgill.ca
Home-Page: https://github.com/shz9/viprs
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: magenpy (>=0.1)
Requires-Dist: statsmodels
Requires-Dist: scikit-learn
Requires-Dist: psutil
Requires-Dist: mkdocs; extra == "docs"
Requires-Dist: mkdocstrings-python; extra == "docs"
Requires-Dist: mkdocs-material; extra == "docs"
Requires-Dist: mkdocs-material-extensions; extra == "docs"
Requires-Dist: scikit-optimize; extra == "opt"
Requires-Dist: seaborn; extra == "opt"
Requires-Dist: pytest; extra == "test"
Provides-Extra: docs
Provides-Extra: opt
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2448 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: false
Tag: cp39-cp39-macosx_11_0_arm64

RECORD

Path Digest Size
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viprs/plot/diagnostics.py sha256=Fuc8LnK4i4ptP6C59v3bf0zswC969gQrjbmRB_p3wWI 1230
viprs/plot/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/utils/math_utils.cpython-39-darwin.so sha256=W_c7cms4bU3mLDff_G_7eXCTs5mBiohvFZVFKsBbreM 185568
viprs/utils/OptimizeResult.py sha256=EyKo3QQIHSfj_2jImgUihkEIwn05x7D-tRwxlb-u7Gg 1625
viprs/utils/compute_utils.py sha256=T2fQCuiZDhMx3ADJF0ymzAVy7JOQVIDxY-39ch1YyiQ 4002
viprs/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/utils/data_utils.py sha256=d7PtPqCLpnEpaqslqtmIyRz0qFoujFbFdHFb8ChgNjA 1301
viprs/utils/exceptions.py sha256=uj_3ZLdkKEmYN0olfKe-06OMlqqCjYC9uh7A-9uGGI0 130
viprs/utils/math_utils.pxd sha256=RFWS8Q0UU6DCT8Hay6gvy4BeAjPKMHMkTotT093Fxz4 800
viprs/model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/model/VIPRSMix.py sha256=g4pfLnGXLsi611tLKqbdLfccVlFbFI2rNiuXtXukhLQ 13713
viprs/model/LDPredInf.py sha256=R67Jl6PY8OIqvJZG95KTGvTfhAzX8Etk2IQ_2nt3oR0 3939
viprs/model/VIPRS.py sha256=e3i9t1YQ84_ZyXJUlqEJ_YsjtrU2wfUWu_7sJpZ8ItA 34542
viprs/model/BayesPRSModel.py sha256=quQjOqKpDjH03TQ0CqR-8AlP_k2JgFCeNdZtEcsy_1c 13934
viprs/model/vi/e_step_cpp.pxd sha256=9bxwmvAmX2RFV7TgrnYRWXsgPru5OcoqYTt6vcukRxU 2871
viprs/model/vi/e_step.cpython-39-darwin.so sha256=unGc-g3muNf91FoCVHVUAdRB-mup89-tJvYqEX-fgrc 764776
viprs/model/vi/e_step_cpp.cpython-39-darwin.so sha256=sJfZvxwztd9Lg5PRlv4rLaxfhR2y4gkVxha9bonkY6w 1386400
viprs/model/vi/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/model/vi/e_step.pxd sha256=X7rOeENMOWQ9VKOUnBOVTYJq7NSXnzIiTdHqBmlChAg 2216
viprs/model/gridsearch/VIPRSGridSearch.py sha256=pQvue_2mcrrfNeUZWuUhpx9tkLBYA6T25Xs5dzhu1PA 4336
viprs/model/gridsearch/VIPRSGrid.py sha256=UJrbYltb8kN29M43x3lwUx4yIPSUfaCjmwwqCEqqk-s 16599
viprs/model/gridsearch/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/model/gridsearch/VIPRSBMA.py sha256=6IPswaUSOhuUXUws4Zezme_5Yl2gAtPclGIiG8FK1xo 2593
viprs/model/gridsearch/HyperparameterSearch.py sha256=Jf8ucIdJdDEzbXGTHk1cDcnBM95bx0e-_yFw0GkY5Rg 18510
viprs/model/gridsearch/HyperparameterGrid.py sha256=3Gkqgw22wi5gK672Z51HR4qZH6kVFSfAforddMdhouk 9090
viprs/eval/pseudo_metrics.py sha256=AIC9vpzfPZS04_q3GNHoac2Uk5vNxEeh-cntN64gXfo 5022
viprs/eval/binary_metrics.py sha256=exmeYw8ARKDoH9MaDnjZ7tJjbejgdcOVr1I1B0ltuHY 9711
viprs/eval/__init__.py sha256=yUIpH8Za2fehe-MtF1yIlA-oSb2wZost5xaN6TH7UsM 946
viprs/eval/continuous_metrics.py sha256=PlxNQLUUeafS7cpBV1R4_2hXwJF6eyibxeM6J5he85M 4862
viprs-0.1.1.dist-info/RECORD — —
viprs-0.1.1.dist-info/LICENSE sha256=gJSdNMj9U15dFkpoxPRBt2ir1aXdexf7jrmm0SgFs8A 1087
viprs-0.1.1.dist-info/WHEEL sha256=t3aNIuHimB-eyeerOmc50nLML0b4_R6yjydcdcJkGHg 108
viprs-0.1.1.dist-info/top_level.txt sha256=aBeFCos365TStNhHZSknjrKSCGyt-z3LO7yb3T7503w 6
viprs-0.1.1.dist-info/METADATA sha256=_Q6SGqbrB8eQm0tNnB5CneNZ7VJgPtuHPxgHsm6u4Q4 3933
viprs-0.1.1.data/scripts/viprs_evaluate sha256=Snq7bYO2COvRHDKfFenUDg9GnBDEzj0oVa5wfuiKbuA 6784
viprs-0.1.1.data/scripts/viprs_score sha256=_xbOxkoEXthqTkOqeMlIhN6-P8C9M4HAfqnVRoGtLI0 5065
viprs-0.1.1.data/scripts/viprs_fit sha256=8NmHVNLjHluZSwq7A_cyNDIcAzrFE-O-vd_Ejw1fndk 30123

top_level.txt

viprs