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ICEbox

Individual Conditional Expectation Plot Toolbox

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.

Functions (10)

WhiteWine

Data concerning white wine.

clusterICE

Clustering of ICE and d-ICE curves by kmeans.

dice

Creates an object of class dice.

ice

Creates an object of class ice.

plot.dice

Create a plot of a dice object.

plot.ice

Plotting of ice objects.

print.dice

Print method for dice objects.

print.ice

Print method for ice objects.

summary.dice

Summary function for dice objects.

summary.ice

Summary function for ice objects.

ICEbox

Individual Conditional Expectation Plot Toolbox

v1.1.2
GPL-2 | GPL-3
Authors
Alex Goldstein, Adam Kapelner, Justin Bleich
Initial release
2017-07-12

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