Message-ID: <BANLkTimiB-wQG7KZv9PNiUeCLu9DuNAx_w@mail.gmail.com>
Date: 2011-06-17T00:38:48Z
From: Yang Zhang
Subject: caret for non-numeric data
caret has many useful preprocessing facilities for numeric predictors,
such as removing near-zero-variance predictors, removing correlated
predictors, removing linear combinations, centering/scaling, and
Box-Cox transformations. However, these don't work for factor data,
which is common in many learning tasks. Is there anything similar for
factor data? Thanks in advance.