plot_pd

object of class <code>c("pd", "data.frame")</code> as returned by
<code><a rd-options="" href="/link/partial_dependence?package=edarf&version=1.1.0" data-mini-rdoc="edarf::partial_dependence">partial_dependence</a></code>

a character vector indicating the variable that should be used
to facet on if interaction is plotted. If not specified the variable with less 
unique values is chosen.

facet


Plot partial dependence from random forests


Functions useful for exploratory data analysis
using random forests which can be used to compute multivariate partial
dependence, observation, class, and variable-wise marginal and joint permutation
importance as well as observation-specific measures of distance
(supervised or unsupervised). All of the aforementioned functions are
accompanied by 'ggplot2' plotting functions.

Zachary Jones

edarf

Exploratory Data Analysis using Random Forests

plot_pd function

object of class <code>c("pd", "data.frame")</code> as returned by
<code><a rd-options='' href='partial_dependence'>partial_dependence</a></code>

plot_pd: Plot partial dependence from random forests

Description

Usage

Arguments

Value

Examples