lrp-pf-auc

View on PyPIReverse Dependencies (0)

0.1.6 lrp_pf_auc-0.1.6-py3-none-any.whl

Wheel Details

Project: lrp-pf-auc
Version: 0.1.6
Filename: lrp_pf_auc-0.1.6-py3-none-any.whl
Download: [link]
Size: 44914
MD5: e8e376e396df5c41e2ee02ea09b422b3
SHA256: d7b8458c32b4d1936f3638c60bab6bae77d48b6590ff88c565614d5485e0a139
Uploaded: 2022-07-12 09:12:10 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: lrp-pf-auc
Version: 0.1.6
Summary: Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
Author: rodrigobdz
Author-Email: r.bermudezschettino[at]campus.tu-berlin.de
Maintainer: rodrigobdz
Maintainer-Email: r.bermudezschettino[at]campus.tu-berlin.de
Home-Page: https://github.com/rodrigobdz/lrp
License: MIT
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: GPU
Classifier: Framework :: IPython
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.9
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: opencv-contrib-python-headless
Requires-Dist: scikit-learn
Requires-Dist: torch (>=1.10.0)
Requires-Dist: torchvision (>=0.11.1)
Requires-Dist: autopep8 (>=1.6.0); extra == "dev"
Requires-Dist: build (>=0.7.0); extra == "dev"
Requires-Dist: ipykernel (>=6.6.0); extra == "dev"
Requires-Dist: mypy (>=0.920); extra == "dev"
Requires-Dist: notebook (>=6.4.11); extra == "dev"
Requires-Dist: pydocstyle (>=6.1.1); extra == "dev"
Requires-Dist: pylint (>=2.13.8); extra == "dev"
Requires-Dist: scipy (>=1.7.3); extra == "dev"
Requires-Dist: twine (>=4.0.1); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: license
[Description omitted; length: 6058 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
data_loader/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
data_loader/core.py sha256=2bY8vvu8dJTKeOWtNUJ8JAQOp-m6LetdEhVmaN3jfhs 5468
lrp/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
lrp/builtin.py sha256=jnplHrpPHZ4wHZ_9Su93-reHBqwPP6LTQMi6stFpOBU 1849
lrp/core.py sha256=xq5l9OeYLKNbjGLDCRRGTfvKoCzD6B_PhQykjP7L8lc 9128
lrp/filter.py sha256=iEIfKM5erhhOTfPeuKmh8igVLUiPW9iGnY6ysIjQT_w 1833
lrp/image.py sha256=olf3BzSkes2ZBkJr7_bxUCPnmQtH56EwyCEg-H47QRE 2033
lrp/norm.py sha256=JNMvgHolzWptwxkS468Nx-wMi3JnPTjadfOCTyZVEr8 4132
lrp/plot.py sha256=5XgUCxCkZh45qxSgj2JNoo41eenLio0A0Rsb36IJ_x0 4684
lrp/rules.py sha256=4O3ChwZQvxgfy3zwGS4QdIfqEHB3gor9L0hx6SOJj_U 6104
lrp/types.py sha256=okN-qUvKJYI1QHrqYF0T0zCds8lFZDzRgKQGvvQ8noo 700
lrp/zennit/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
lrp/zennit/core.py sha256=-R4KDvWuRCc9LIg74w5WBL26BkmWdrugPMZd5ZDkmEY 2979
lrp/zennit/types.py sha256=SNjNZehgmgjycY0JHefyCJPmEP8qxd8kX3K2mhlJhF4 4158
pf/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pf/convert_img.py sha256=MHGLpDNrJGXEguumH7BfoEOAKZ9JI5YOdX1YpD-iT_A 3941
pf/core.py sha256=KcmtiUfYaTo-t_HXG-yXhUlS6h7qIc_4EivJGiBdL7w 32573
pf/decorators.py sha256=qD5ew8fHdH3EL3b5TfQfz0EhVLOtF8z8-1rWQ9wHyWY 1502
pf/metrics.py sha256=Wahbu7RWGHdxEUvl5dnXHnf_XGX2uS5uhqTjzqO67R8 906
pf/plot.py sha256=MEBW-dqBXTc5jbcgV5Pe-V2GY0EcJ7cg6xIfWwwvBig 8158
pf/sanity_checks.py sha256=izmFds6q0_handQOSF2-XW474OCy7Dx5v-iG50mXNfY 3990
pf/utils.py sha256=5kXLDbpwmWzUXa_SuXk7g8QA100Z0zBQZoZz65_xqsw 1174
pf/objectives/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pf/objectives/constants.py sha256=QHcGUvf4vDsv3ttmeyUh-eYT-YwrK1m-pHOojlMlCrg 639
pf/objectives/sort.py sha256=i_5-PpMKGFCjrW1o-Ibsswku5nZs3nIBTlOofqRHdUw 10475
pf/perturbation_modes/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pf/perturbation_modes/constants.py sha256=ENrGb5z1cacwVRoH6uCthqalS2_A1pbkXEebL65DOKE 602
pf/perturbation_modes/inpainting/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pf/perturbation_modes/inpainting/flip.py sha256=77vR4UgwTBJ9eGqbAkpW4-W5u_FMrMgSHG_knSsxSTM 3640
pf/perturbation_modes/random/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pf/perturbation_modes/random/flip.py sha256=1VBZ5-pu8AwRSp91LCqQoFyrbFK_EjPQX01beA5a0Bk 3992
pf/perturbation_modes/random/random_number_generators.py sha256=cIaN2v7kbSaljJY72VUm-gjOkHf7YveSERml5iqbeM4 1596
lrp_pf_auc-0.1.6.dist-info/METADATA sha256=riGAimUmOGqS1yLjoCCCQOUOrdTz9d0CfFGQ72LvlSE 8162
lrp_pf_auc-0.1.6.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
lrp_pf_auc-0.1.6.dist-info/license sha256=IMYHLT0T86-Vxf3eZyWAOQQNrcYXUxMhZ2WewWcsyq0 1084
lrp_pf_auc-0.1.6.dist-info/top_level.txt sha256=nnDpRYBPBy4c-c56Tc89MqI7qQaIieVnFZa2XAL0Qys 19
lrp_pf_auc-0.1.6.dist-info/RECORD

top_level.txt

data_loader
lrp
pf