ml-insights 0.0.4

Package to understand ML Models

ML Insights
===========

Package to understand ML Models

Installation:
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.. code-block:: bash

$ pip install ml_insights


Usage:
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.. code-block:: python

>>> import ml_insights as mli
>>> xray = mli.ModelXRay(model, data)


Examples:
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`Notebook Examples and Useage <examples/>`_


Documentation:
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https://ml-insights.readthedocs.io.

Source:
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https://github.com/numeristical/introspective.

License:
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Free software: `MIT license <LICENSE>`_

Developed By:
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* 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)


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History
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0.0.1 (2016-11-01)
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* First release on PyPI.


0.0.2 (2016-11-02)
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* Added Path between Points to ModelXRay.