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acv-dev

0.0.15	acv_dev-0.0.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	acv_dev-0.0.15-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
	acv_dev-0.0.15-cp39-cp39-win_amd64.whl
	acv_dev-0.0.15-cp39-cp39-win32.whl
	acv_dev-0.0.15-cp39-cp39-musllinux_1_1_x86_64.whl
	acv_dev-0.0.15-cp39-cp39-musllinux_1_1_i686.whl
	acv_dev-0.0.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	acv_dev-0.0.15-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
	acv_dev-0.0.15-cp38-cp38-win_amd64.whl
	acv_dev-0.0.15-cp38-cp38-win32.whl
	acv_dev-0.0.15-cp38-cp38-musllinux_1_1_x86_64.whl
	acv_dev-0.0.15-cp38-cp38-musllinux_1_1_i686.whl
	acv_dev-0.0.15-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	acv_dev-0.0.15-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
	acv_dev-0.0.15-cp37-cp37m-win_amd64.whl
	acv_dev-0.0.15-cp37-cp37m-win32.whl
	acv_dev-0.0.15-cp37-cp37m-musllinux_1_1_x86_64.whl
	acv_dev-0.0.15-cp37-cp37m-musllinux_1_1_i686.whl
	acv_dev-0.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	acv_dev-0.0.15-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
	acv_dev-0.0.15-cp310-cp310-win_amd64.whl
	acv_dev-0.0.15-cp310-cp310-win32.whl
	acv_dev-0.0.15-cp310-cp310-musllinux_1_1_x86_64.whl
	acv_dev-0.0.15-cp310-cp310-musllinux_1_1_i686.whl

Wheel Details

Project:	acv-dev
Version:	0.0.15
Filename:	acv_dev-0.0.15-cp39-cp39-win_amd64.whl
Download:	[link]
Size:	1176356
MD5:	`ad521001e17a9ad82b33810e184929a2`
SHA256:	`669edbc5bd1954e9b242c3aebd27f6ad683e06b550afa1d1ba59bab321e37a00`
Uploaded:	2022-08-30 12:03:15 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	acv-dev
Version:	0.0.15
Summary:	ACV is a library that provides robust and accurate explanations for machine learning models or data
Author:	Salim I. Amoukou
Author-Email:	salim.ibrahim-amoukou[at]universite-paris-saclay.fr
Home-Page:	https://github.com/salimamoukou/acv00
License:	MIT
Requires-Dist:	numpy (<1.22)
Requires-Dist:	scipy
Requires-Dist:	scikit-learn
Requires-Dist:	matplotlib
Requires-Dist:	pandas
Requires-Dist:	tqdm
Requires-Dist:	ipython
Requires-Dist:	seaborn
Requires-Dist:	streamlit
Requires-Dist:	skranger
Requires-Dist:	xgboost; extra == "test"
Requires-Dist:	lightgbm; extra == "test"
Requires-Dist:	catboost; extra == "test"
Requires-Dist:	pyspark; extra == "test"
Requires-Dist:	shap; extra == "test"
Requires-Dist:	rpy2 (==2.9.4); extra == "test"
Requires-Dist:	pytest; extra == "test"
Provides-Extra:	test
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 11625 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.1)
Root-Is-Purelib:	false
Tag:	cp39-cp39-win_amd64

RECORD

Path	Digest	Size
cext_acv.cp39-win_amd64.pyd	sha256=e8lFEYS3SYzY9ZIPVVz9sivbnEqtX13FJgDu5KA9vTs	19968
cyext_acv.cp39-win_amd64.pyd	sha256=y-cJmWu_tL-FF8C7tN9TontBaI1B7DUn_nI0xTkTBbA	1807360
cyext_acv_cache.cp39-win_amd64.pyd	sha256=a2Di6qY7rLsdtZ19h2dHjvW2uP69QqB4pIkA5_WtCHg	244736
cyext_acv_nopa.cp39-win_amd64.pyd	sha256=ijIpGcuQu4kb5Gz0dXZW-TBJyH-6vGf35BerjMQDBNo	713216
acv_app/__init__.py	sha256=RS2bT52psDTLSLcCeATLsFEnCuAnMoa78cnVJgJKaFk	95
acv_app/app.py	sha256=J5emev0IOIpHoaBVSIcdObJ6yYUJG66Vg962iMc51sg	4553
acv_app/plots.py	sha256=hYvkuNvjARHYPrg2HrLEMBVD4t7e_pB-53zjypbbwr0	18049
acv_app/sdp_app.py	sha256=dh2xgmnjl7ESgnXJoP_5WiomYnVTUyGqgtF4B8QiSls	11888
acv_app/sv_app.py	sha256=9guGko9kDAWyFxkLLuGRkZI4Z6hp4mAwEyaRtZvxegg	1276
acv_app/colors/__init__.py	sha256=exITdUYMAi3rz8QbS_FFoDix07LOlcg5Q1_uByfJ5_k	264
acv_app/colors/_colorconv.py	sha256=GwifeovMvg4JfPpHIloOK6Vy0uTdm2eeVWsE4DFCvLk	37759
acv_app/colors/_colors.py	sha256=lOLQgG71-NZ7emftcbgs391xtTILMB1iaf2AwQBfnxA	5247
acv_explainers/__init__.py	sha256=clvhGdMYdmUdAs9Hu0aanq6wn_bCzLgqaT9jvse1bfM	87
acv_explainers/acv_agnosticX.py	sha256=dBtPtE2Gh0shewdapPPkYodPkhJPsue0B-s5sz6cs4c	97955
acv_explainers/acv_tree.py	sha256=p8a25kNbce5-UgFFy5sA2iRJXjzrCCojsAk6cCDIIYc	79188
acv_explainers/base_agnostree.py	sha256=r8N26mDJY8d9dvnG_S1kcnvdD7G4xE5ZZm0Wv-3MXIs	13436
acv_explainers/base_tree.py	sha256=z5e4xFQ4K5TWJa5NWERn6F00YOZFVQgZFXNvYdDYRMw	79580
acv_explainers/counterfactual_rules.py	sha256=JZHOQJVCzR3KTGpMIHDVb-Vhb2le-EoRptco8e6X67s	21679
acv_explainers/py_acv.py	sha256=Jt-ERndVFjK_nE-hP3-x7lbztsY0gz9zsL3EvOKg4KQ	30345
acv_explainers/setup.py	sha256=JB1B9S_3_dMuYM4O7hJ5Pv7NB-Ji79Glu2XwYRjB2CM	553
acv_explainers/utils.py	sha256=FrL9xRqYYvh5itEYlwiAjodNLVRdidktmI7E5d2kv3g	85112
acv_explainers/utils_cr.py	sha256=-EW_3bG1DcnpLhKT3cyUz718AS3JYZQI49J1nttX_hQ	35111
acv_explainers/utils_exp.py	sha256=X5LpL6vn8aHuAnuEZ16lXLsXFCPhPLvZna7Mx8_F628	13369
acv_explainers/utils_sdp.py	sha256=W2vcGcI8ASZ92C8eLX4HKoO-NFB-SXe2gizX2Ob7Xhw	23545
experiments/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
experiments/exp_linear.py	sha256=BcDgcXvacxkBaFDGQPdKZk0Dcis97H4bGz1J5mq-2rU	27325
experiments/exp_linear_gmm.py	sha256=deLkryJk4QgfnI1D7SIGOdFLSjo-4Snie3siaEisVDg	84188
experiments/exp_linear_gmm_ohe.py	sha256=U2Yg8ORS_EZdR3xhX4-5AFiMWLoBbW80VDStLuOSAa0	47065
experiments/exp_syn.py	sha256=8wY0CbwxdeMDqAlLfwD7hPtlDRwggBc5Sa0Fwt1XAsc	28071
experiments/shap_linear.py	sha256=z7VL2TaUuVfAUFVPOfNVKpO9SfNAfwnf4M6eZcZSGZo	27541
experiments/utils.py	sha256=zh7zSbxXgATCpAhiQeIqQhx3d4wabro2UXy4-v-1u-8	67164
acv_dev-0.0.15.dist-info/LICENSE	sha256=chg7nZhSnVFxC_3q4eaLXNiX0JfLfD8hbaO7YcsARuM	1094
acv_dev-0.0.15.dist-info/METADATA	sha256=p45npV0CPShcXb80PDELO7Fp5PuInD7xpUepIr2-004	12565
acv_dev-0.0.15.dist-info/WHEEL	sha256=fVcVlLzi8CGi_Ul8vjMdn8gER25dn5GBg9E6k9z41-Y	100
acv_dev-0.0.15.dist-info/top_level.txt	sha256=5OVvJcKZb2r6CUWrFzF5Ud9KHqH3It6_O7UksfRpF_Y	85
acv_dev-0.0.15.dist-info/RECORD	—	—

top_level.txt

acv_app

acv_explainers

cext_acv

cyext_acv

cyext_acv_cache

cyext_acv_nopa

experiments