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A game theoretic approach to explain the output of any machine learning model.

License: MIT License

JavaScript 0.04% C++ 0.11% Python 0.91% PowerShell 0.01% Cuda 0.01% HTML 0.01% Batchfile 0.01% Jupyter Notebook 98.92%

shaperone's Introduction

SHAPerone is a patched fork of SHAP

Patches

Shaperone 0.41.6 (Shap 0.41)

  • Fixed issue 2909 NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. This will prevent a breaking change in Numba>=0.59.0
  • Fixed missing jit import in links.py
  • Upgraded github action actions/checkout@v2, actions/setup-python@v2, codecov/codecov-action@v2 to v3. The v2 actions depend on depreciated node 12, the new v2 actions have upgraded to node 16

Shaperone 0.41.5 (Shap 0.41)

  • Fixed the failing build_wheels.yml github action for the OSX target. Upgraded from the no longer existing macOS-10.15 to macos-11.
  • Patched issue 2721, pull 2697 with beeswarmplot that broke compatibility with matplotlib>3.5.3
  • Removed usage of np.int, np.bool and np.float pull 1890. The use of np.int, np.bool and np.float has been depreciated since numpy 1.20.0 and removed in numpy>=1.24.0.

Install

SHAPerone can be installed from PyPI:

pip install shaperone

shaperone's People

Contributors

alexander-pv avatar alexisdrakopoulos avatar anusham1990 avatar dependabot[bot] avatar floidgilbert avatar gabrieltseng avatar ihopethiswillfi avatar imatiach-msft avatar jasontam avatar jiechengzhao avatar jorgecarleitao avatar jsu27 avatar kodonnell avatar kolanich avatar lrjball avatar maggiewu19 avatar mizukasai avatar moritzaugustin avatar parsatorb avatar quentinambard avatar ramitchell avatar ryserrao avatar sbrugman avatar sitmo avatar slundberg avatar thezl avatar thijsvandenberg avatar tlabarta avatar vivekchettiar avatar xzzxxzzx avatar

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