variables

model

<p>Due to the way that most model objects are stored, you
also need to supply the data set you used with the original
data set.  It currently doesn't support models fitted without
using a data argument.</p>

attribute

Given $p$-dimensional training data containing $d$ groups
(the design space), a classification algorithm (classifier) predicts
which group new data belongs to.  Generally the input to these
algorithms is high dimensional, and the boundaries between groups will
be high dimensional and perhaps curvilinear or multi-faceted. This
package implements methods for understanding the division of space
between the groups.

Hadley Wickham

variables: Extract predictor and response variables for a model object.

Description

Usage

Arguments

Value