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viprs

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0.1.2 viprs-0.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.2-cp39-cp39-macosx_10_9_x86_64.whl
viprs-0.1.2-cp39-cp39-macosx_11_0_arm64.whl
viprs-0.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.2-cp38-cp38-macosx_10_9_x86_64.whl
viprs-0.1.2-cp38-cp38-macosx_11_0_arm64.whl
viprs-0.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.2-cp312-cp312-macosx_10_9_x86_64.whl
viprs-0.1.2-cp312-cp312-macosx_11_0_arm64.whl
viprs-0.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.2-cp311-cp311-macosx_10_9_x86_64.whl
viprs-0.1.2-cp311-cp311-macosx_11_0_arm64.whl
viprs-0.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
viprs-0.1.2-cp310-cp310-macosx_10_9_x86_64.whl
viprs-0.1.2-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: viprs
Version: 0.1.2
Filename: viprs-0.1.2-cp311-cp311-macosx_11_0_arm64.whl
Download: [link]
Size: 552755
MD5: 6c049080ab32d74492a054e930cae9d5
SHA256: 76e6b43f8b2196f5da33f32eea1ab1d763a3489e653ded2df22c97728efc8679
Uploaded: 2025-01-08 05:24:12 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: viprs
Version: 0.1.2
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 (<2)
Requires-Dist: scipy
Requires-Dist: pandas (<=2.2.1)
Requires-Dist: tqdm
Requires-Dist: magenpy (>=0.1.4)
Requires-Dist: statsmodels
Requires-Dist: scikit-learn
Requires-Dist: psutil
Requires-Dist: scikit-optimize; extra == "opt"
Requires-Dist: seaborn; extra == "opt"
Requires-Dist: pytest; extra == "test"
Requires-Dist: mkdocs; extra == "docs"
Requires-Dist: mkdocstrings-python; extra == "docs"
Requires-Dist: mkdocs-material; extra == "docs"
Requires-Dist: mkdocs-material-extensions; extra == "docs"
Provides-Extra: opt
Provides-Extra: test
Provides-Extra: docs
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2448 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.7.0)
Root-Is-Purelib: false
Tag: cp311-cp311-macosx_11_0_arm64

RECORD

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viprs-0.1.2.data/scripts/viprs_fit sha256=m2omRUJQHYZNWQ7GMSmBgDuL1eqwqD2_iEMqMkODTDk 40575
viprs/__init__.py sha256=PAhPSL9ag4cBiKlg0I9UJlI0H55toV5RCnHjceWonGE 122
viprs/plot/diagnostics.py sha256=Fuc8LnK4i4ptP6C59v3bf0zswC969gQrjbmRB_p3wWI 1230
viprs/plot/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/utils/OptimizeResult.py sha256=wcAhOIZZxhUpn6nIF_aoAGoJhRlKAaxhj677_TokbhI 4066
viprs/utils/compute_utils.py sha256=3O7uAm0dFf4Ko0ivJ3QF4ebXZ1pNi6JajWexR28_DLQ 4418
viprs/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/utils/data_utils.py sha256=ymZAqHH365y20LJmXKggqfqqbTn_PdvtGXZAQ2GBao0 1354
viprs/utils/math_utils.cpython-311-darwin.so sha256=3B1dB0tcKYGlU3oMw--G3e_sJafO56VfdZ_-Lovn0Kw 185760
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=PAgs1s5xGNr16zIXoseColt8THnfRMpmZu7-trfTYdU 13879
viprs/model/LDPredInf.py sha256=R67Jl6PY8OIqvJZG95KTGvTfhAzX8Etk2IQ_2nt3oR0 3939
viprs/model/VIPRS.py sha256=1sBXp4txcEcT9POxtCEj3AiebjonNEezuUsS-8HLFRU 46088
viprs/model/BayesPRSModel.py sha256=s4UUk3sBI9_DOD8s2PGPv7UogGIqk6qq1oCtCEEBDc4 14430
viprs/model/vi/e_step_cpp.cpython-311-darwin.so sha256=43D5sG9NrP7ac4kr_DUm2yNCtIbHfdobMzjrGUsmRPc 1033008
viprs/model/vi/e_step_cpp.pxd sha256=0truVJGSDRvM5skX5O-Ra-B_4mxe79d2Z1Pwqmp7Rs4 3072
viprs/model/vi/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/model/vi/e_step.pxd sha256=WEuxsGKvJOnJqZpmtgUbl0qtHlr1NdME1vfZ57KpJ0o 2567
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viprs/model/gridsearch/VIPRSGridSearch.py sha256=y5AbomitC-iB57rEGO9qhZhNdBhKVIcbweLW0K14pkw 5023
viprs/model/gridsearch/VIPRSGrid.py sha256=yYxLn61fMBMYgSFP8gCudVtUE9xOchTNZ73OBVmITW8 18862
viprs/model/gridsearch/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
viprs/model/gridsearch/VIPRSBMA.py sha256=qRZwRxKcIGTTPTgbaxCeGvE4JQBXxD7oGdaZYl2DsWM 3163
viprs/model/gridsearch/HyperparameterSearch.py sha256=yjKMycsuJB2rd_PonDyzoaHpWPd42hImmxP-qDDPToo 18504
viprs/model/gridsearch/HyperparameterGrid.py sha256=mpMvhrKL5sYmGQhYitVT_v7_j0s-lhf6U6ljyddO9ks 10512
viprs/eval/pseudo_metrics.py sha256=Zn430MCqHsCAEC1DA_L3xzHNZJKQH_20D0s9cy_3IrE 5068
viprs/eval/binary_metrics.py sha256=JJ3PHz2cruawiCo1ILo3yUifE5dZbAksYJj_tjjhSnQ 10666
viprs/eval/__init__.py sha256=KuyiG6iLdb269mNhAASV0MRy0r1A79m7D2rAD2WsUiI 1060
viprs/eval/eval_utils.py sha256=cgfyhlm0Yu9a21tt8tAEbspM8q0vNpicZki2IfUfDs0 2803
viprs/eval/continuous_metrics.py sha256=FJbV8dM03B5uWMRHAK8Y0ScLtRiesyuTVQMt8uBzoE4 4849
viprs-0.1.2.dist-info/RECORD — —
viprs-0.1.2.dist-info/LICENSE sha256=gJSdNMj9U15dFkpoxPRBt2ir1aXdexf7jrmm0SgFs8A 1087
viprs-0.1.2.dist-info/WHEEL sha256=DQkJubmXvyOE1DlaPsfq9czNuGB2yvzYGbMABjt_JVM 109
viprs-0.1.2.dist-info/top_level.txt sha256=aBeFCos365TStNhHZSknjrKSCGyt-z3LO7yb3T7503w 6
viprs-0.1.2.dist-info/METADATA sha256=1myWiMfqdfBpdM6SE7jlJpnKIC3cCPOwnQe7t6cWipQ 3936

top_level.txt

viprs