The HPBIN procedure has the following features:
provides a bucket (equal-length) binning method
provides a Winsorized binning method and Winsorized statistics
provides a quantile binning method and a pseudo–quantile binning method
provides a mapping table for the selected binning method
provides a basic statistical table that contains the minimum, maximum, mean, median, and so on
computes the quantiles of the binning variables
calculates the weight of evidence (WOE) and information value (IV) based on binning results
reads input data in parallel and writes output data in parallel when the data source is in a database on the appliance
- BINNING, bucketing, 윈저라이징, Winsorized Binning
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!