catScore

numeric (no NAs/NULLs) effective variable

scalar target for yC to match (yC==tTarget is goal)

yTarget

(optional) numeric, non-negative, no NAs/NULLs at least two positive positions

weights

return a pseudo R-squared from a 1 variable logistic regression

Prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: Inf, NA, too many categorical values, rare categorical values, new categorical values (levels seen during application, but not during training).   'vtreat::prepare' should be used as you would use 'model.matrix'.

catScore: return a pseudo R-squared from a 1 variable logistic regression

Description

Usage

Arguments

Value

See Also