approx-cp

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0.0.2 approx_cp-0.0.2-py3-none-any.whl

Wheel Details

Project: approx-cp
Version: 0.0.2
Filename: approx_cp-0.0.2-py3-none-any.whl
Download: [link]
Size: 25565
MD5: c6cb88f47e437878a18719329cefb3fc
SHA256: d43940f641b9dea51f79ffc258c3d3a9084f7125b867705620bf4eb391648c88
Uploaded: 2023-04-12 18:54:10 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: approx-cp
Version: 0.0.2
Summary: Python implementation of Approximate full Conformal Prediction (ACP)
Author: Javier Abad
Author-Email: javier.abadmartinez[at]ai.ethz.ch
Home-Page: https://github.com/cambridge-mlg/acp
Project-Url: Paper, https://arxiv.org/abs/2202.01315
Keywords: machine learning,AAAI,conformal prediction
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: torchaudio
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: matplotlib
Requires-Dist: keras
Requires-Dist: folktables
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: seaborn
Description-Content-Type: text/markdown
[Description omitted; length: 3969 characters]

WHEEL

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

RECORD

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third_party/RAPS/RAPS_conformal.py sha256=UBhBpyYNtu41J9Tv6nm5IvTnbmbHtQFCftFbA1iWxWE 23347
third_party/RAPS/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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approx_cp-0.0.2.dist-info/RECORD

top_level.txt

acp
third_party