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0.2 poplar-0.2-py3-none-any.whl

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Project: poplar
Version: 0.2
Filename: poplar-0.2-py3-none-any.whl
Download: [link]
Size: 26839
MD5: cc7fa758c80b840de2dc7cf1d8e37f64
SHA256: e510bcfa5dfbbbd1b7d22451348a1eda1e42add84d7e7e75728c37a0d99eb5f8
Uploaded: 2023-05-30 11:37:58 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: poplar
Version: 0.2
Summary: A python package for modelling selection effects with machine learning
Author-Email: Christian Chapman-Bird <c.chapman-bird.1[at]research.gla.ac.uk>
Project-Url: Bug Tracker, https://github.com/CChapmanbird/poplar/issues
Project-Url: Source Code, https://github.com/CChapmanbird/poplar
License: GPL-3.0-or-later
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
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: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
Requires-Dist: matplotlib (>=3.3.0)
Requires-Dist: seaborn
Requires-Dist: numpy (>=1.17)
Requires-Dist: scipy (>=1.2.0)
Requires-Dist: tqdm
Requires-Dist: dill
Requires-Dist: pathlib
Requires-Dist: torch (>=1.7.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 849 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
poplar/__init__.py sha256=VSvS1Aqp2d6O-WwfCXmiXELSYxtcvweBZGdnoCRzCjc 314
poplar/distributions.py sha256=OACOYqGlQVN02hWGUzmyRc_DUIY7ixJC-Xi3fb5vNvQ 7449
poplar/likelihood.py sha256=ttQQG5W1H1SeLxg32XbYJxMRM_vVXwPqHCwYwnWNEpY 2599
poplar/selection.py sha256=JcXcyJPBSqaM-1tuDEGMt8KQtmW-_0cteTQoCWjV0_I 4308
poplar/utilities.py sha256=jZX3URfh_zw-dWx0UKlIItxwlHEs7OFwHXPm5AREbq0 1425
poplar/nn/__init__.py sha256=lrwMGZhOsypFcufPvy7NMoRAKNYgQUIzLVt20kjqsw4 85
poplar/nn/networks.py sha256=fbtp7CxW7DyALT8aKMzVbUIigsLe7irJJTWNGwDv9Vc 9798
poplar/nn/plot.py sha256=bx5Ed3nwxLhvHCjLXJON6-EeJF3I_DgNbcgZQe5gJLQ 1038
poplar/nn/rescaling.py sha256=CUR9wPlOfJtGDwJmkl-talANKM-mNHONQ6Pwdu5H7ZI 4397
poplar/nn/training.py sha256=FZkoH5CDqstP769EgcN-bP2AYcohG5_bY7Bq8v2o-iA 8131
poplar-0.2.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
poplar-0.2.dist-info/METADATA sha256=y_hZC03xalyqDOEaSWIo5woPU-_gFMNuB_tCOaE07uc 2250
poplar-0.2.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
poplar-0.2.dist-info/top_level.txt sha256=LuC8ZPYRdJxVRLfVujdMA9yby6pQHuyd1i0QInr-cx0 7
poplar-0.2.dist-info/RECORD — —

top_level.txt

poplar