generate_data

data

desired number of new observations

method to use, see <code><a rd-options="" href="/link/simvar?package=classifly&version=0.4.1" data-mini-rdoc="classifly::simvar">simvar</a></code>

method

This method generates new data that fills the range of
the supplied datasets.

datagen

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

classifly

Explore Classification Models in High Dimensions

generate_data function

method to use, see <code><a rd-options='' href='simvar'>simvar</a></code>

generate_data: Generate new data from a data frame.

Description

Usage

Arguments