skater
Python Library for Model Agnostic Interpretation
Python Library for Model Agnostic Interpretation
To install this package, run one of the following:
Skater is a python package for model agnostic interpretation of predictive models. With Skater, you can unpack the internal mechanics of arbitrary models; as long as you can obtain inputs, and use a function to obtain outputs, you can use Skater to learn about the models internal decision policies.
Summary
Python Library for Model Agnostic Interpretation
Last Updated
Jul 27, 2017 at 16:33
License
MIT
Total Downloads
147.5K
Supported Platforms
GitHub Repository
https://github.com/datascienceinc/SkaterDocumentation
https://datascienceinc.github.io/Skater/index.html