setAsNumericMatrix

dataSet

logical. Should a constant column be added?

intercept

logical. For each factor, should we create all possible
dummies, or should we drop a reference dummy?

allCols

logical. Should the resulting matrix be of a (sparse) Matrix
class?

sparse

Prepare a numeric matrix from a data.table. This matrix is suitable for
machine learning purposes, since factors are binarized. It may be sparsed,
include an intercept, and drop a reference column for each factor if
required (when using <code>lm()</code>, for instance)

Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.

setAsNumericMatrix: Numeric matrix preparation for Machine Learning.

Description

Usage

Arguments