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CIMLA

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0.0.18 CIMLA-0.0.18-py3-none-any.whl

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Project: CIMLA
Version: 0.0.18
Filename: CIMLA-0.0.18-py3-none-any.whl
Download: [link]
Size: 18046
MD5: a73205f802f2f59d22b01e015182186c
SHA256: afb44e424563504284629fccccf04559d429de50c7db4eb0235a918f935deca3
Uploaded: 2023-02-27 05:21:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: CIMLA
Version: 0.0.18
Summary: Counterfactual Inference by Machine Learning and Attribution Models
Author: Payam Dibaeinia
Author-Email: dibaein2[at]illinois.edu
Home-Page: https://github.com/PayamDiba/CIMLA
License: MIT License
Requires-Python: ==3.8.12
Requires-Dist: dask (==2021.10.0)
Requires-Dist: h5py (==2.10.0)
Requires-Dist: numpy (>1.22)
Requires-Dist: pandas (==1.3.3)
Requires-Dist: scipy
Requires-Dist: tensorflow (==2.2.0)
Requires-Dist: dask-ml (==1.9.0)
Requires-Dist: tables (==3.6.*)
Requires-Dist: shap (==0.39.0)
Requires-Dist: scikit-learn (==0.24.2)
Requires-Dist: xgboost (==1.5.0)
Requires-Dist: PyYAML (==5.4.1)
Requires-Dist: protobuf (==3.20)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 76 characters]

WHEEL

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

RECORD

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CIMLA/Dataset.py sha256=HY_ey7LZlkday6R1Zt60Z1og8O8CSSW1TnQjAOdwrtU 6174
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CIMLA/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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CIMLA-0.0.18.dist-info/RECORD — —

top_level.txt

CIMLA

entry_points.txt

[console_scripts]
cimla = CIMLA.main:main