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sgvb_psd

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0.0.5 sgvb_psd-0.0.5-py3-none-any.whl

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Project: sgvb_psd
Version: 0.0.5
Filename: sgvb_psd-0.0.5-py3-none-any.whl
Download: [link]
Size: 29461
MD5: e786c0c13d2639fb4676c19bae41ca02
SHA256: c4ebc679afdee769386eb2474a57c3fa5551d1b1ebc4476672146b416c3428f5
Uploaded: 2024-09-30 02:10:51 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: sgvb_psd
Version: 0.0.5
Summary: A python package for estimating the power spectral density (PSD) of correlated multivariate detector noise using variational inference (VI).
Author-Email: Jianan Liu <jliu812[at]aucklanduni.ac.nz>, Avi Vajpeyi <avi.vajpeyi[at]gmail.com>
Project-Url: Homepage, https://github.com/nz-gravity/sgvb_psd
Project-Url: Bug Reports, https://github.com/nz-gravity/sgvb_psd/issues
Project-Url: Source, https://github.com/nz-gravity/sgvb_psd
Project-Url: Documentation, https://nz-gravity.github.io/sgvb_psd/
License: MIT License Copyright (c) 2024 nz-gravity Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Framework :: Jupyter
Requires-Python: >=3.8
Requires-Dist: tensorflow-probability (>=0.24.0)
Requires-Dist: tf-keras
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: hyperopt
Requires-Dist: colorama
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: jupyter-book; extra == "dev"
Requires-Dist: sphinx-inline-tabs; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1053 characters]

WHEEL

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RECORD

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sgvb_psd/backend/bayesian_model.py sha256=ckY8Sd2yKUhopnFFO8mpUmEU259w18L_6YZ_N2bdcAc 11283
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sgvb_psd/backend/vi_runner.py sha256=i9qxq-7qC2425B3Hujmi8MfSepS0WPT6AjV1khfFHcU 6278
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sgvb_psd-0.0.5.dist-info/RECORD — —

top_level.txt

sgvb_psd