Package to understand ML Models
Project description
ML Insights
Package to understand ML Models
Disclaimer
We have tested this tool to the best of my ability, but understand that it may have bugs. Use at your own risk!
Installation
$ pip install ml_insights
Usage
>>> import ml_insights as mli
>>> xray = mli.ModelXRay(model, data)
Source
Find the latest version on github: https://github.com/numeristical/introspective
Feel free to fork and contribute!
Documentation
Requirements
Python
Python 2.7 and 3.4+
License
Free software: MIT license
Developed By
Brian Lucena
Ramesh Sampath
References
Alex Goldstein, Adam Kapelner, Justin Bleich, and Emil Pitkin. 2014. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation. Journal of Computational and Graphical Statistics (March 2014)
History
0.0.1 (2016-11-01)
First release on PyPI.
0.0.4 (2016-11-11)
Added Path between Points to ModelXRay.
Project details
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