Python Interpretable Machine Learning

Python Interpretable Machine Learning#

https://github.com/SelfExplainML/PiML-Toolbox/raw/main/examples/results/LogoPiML.png

Description#

PiML (or π-ML) is a new Python toolbox for interpretable machine learning model development and validation. Through low-code interface and high-code APIs, PiML supports a growing list of inherently interpretable ML models.

Home page for this solution: https://selfexplainml.github.io/PiML-Toolbox/_build/html/index.html

Overview#

Key

Value

Name

PiML-Toolbox

Description

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

License

Apache License 2.0

Programming Language

Jupyter Notebook

Created

2022-04-29

Last update

2025-03-30

Github Stars

1247

Project Home Page

https://selfexplainml.github.io/PiML-Toolbox

Code Repository

SelfExplainML/PiML-Toolbox

OpenSSF Scorecard

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Note:

  • Created date is date that repro is created on Github.com.

  • Last update is only the last date I run an automatic check.

  • Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and don’t indicate if the SBB is high-quality or very popular.