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.
|Author||Alex Goldstein, Adam Kapelner, Justin Bleich|
|Date of publication||2017-03-29 21:43:07 UTC|
|Maintainer||Adam Kapelner <firstname.lastname@example.org>|
|License||GPL-2 | GPL-3|
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.
WhiteWine: Data concerning white wine.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.