is.binary


<code>is.binary</code> returns TRUE if a variable is binary, and FALSE otherwise


Performs exploratory data analysis and variable screening for
binary classification models using weight-of-evidence (WOE) and information
value (IV). In order to make the package as efficient as possible, aggregations
are done in data.table and creation of WOE vectors can be distributed across
multiple cores. The package also supports exploration for uplift models (NWOE
and NIV).

is.binary: (helper function) Calculate cross validation penalty

Description

Usage

Arguments