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r-icebox

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Implements Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. ICE plots refine Friedman's partial dependence plot by graphing the functional relationship between the predicted response and a covariate of interest for individual observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate of interest, suggesting where and to what extent they may exist.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-icebox

Usage Tracking

1.1.2
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Implements Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. ICE plots refine Friedman's partial dependence plot by graphing the functional relationship between the predicted response and a covariate of interest for individual observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate of interest, suggesting where and to what extent they may exist.

Last Updated

Sep 13, 2019 at 19:27

License

GPL-2 | GPL-3

Total Downloads

1

Supported Platforms

noarch