scoreModel: Score function

In alteryx/AlteryxPredictive: Utility functions used by the predictive tools in Alteryx

Description

Score function

Usage

scoreModel(mod.obj, new.data, score.field = "Score", ...)

## Default S3 method:
scoreModel(mod.obj, new.data, score.field = "Score",
  os.value = NULL, os.pct = NULL, ...)

## S3 method for class 'lm'
scoreModel(mod.obj, new.data, score.field = "Score",
  pred.int = FALSE, int.vals = NULL, log.y = FALSE, ...)

## S3 method for class 'rxLogit'
scoreModel(mod.obj, new.data, score.field = "Score",
  os.value = NULL, os.pct = NULL, ...)

## S3 method for class 'rxGlm'
scoreModel(mod.obj, new.data, score.field = "Score", ...)

## S3 method for class 'rxLinMod'
scoreModel(mod.obj, new.data, score.field = "Score",
  pred.int = FALSE, int.vals = NULL, log.y = FALSE, ...)

## S3 method for class 'rxDTree'
scoreModel(mod.obj, new.data, score.field, os.value = NULL,
  os.pct = NULL, ...)

## S3 method for class 'rxDForest'
scoreModel(mod.obj, new.data, score.field,
  os.value = NULL, os.pct = NULL, ...)

## S3 method for class 'elnet'
scoreModel(mod.obj, new.data, score.field = "Score", ...)

## S3 method for class 'lognet'
scoreModel(mod.obj, new.data, score.field = "Score",
  os.value = NULL, os.pct = NULL, ...)

## S3 method for class 'cv.glmnet'
scoreModel(mod.obj, new.data, score.field = "Score",
  os.value = NULL, os.pct = NULL, ...)

Arguments

mod.obj	model object
new.data	new data to score
score.field	name given to the score field
...	additional arguments
os.value	oversampling value
os.pct	oversampling percent
pred.int	whether to generate prediction intervals
int.vals	interval values
log.y	whether to report y on the log scale

Author(s)

Ramnath Vaidyanathan, Dan Putler, Bridget Toomey

alteryx/AlteryxPredictive documentation built on May 12, 2019, 1:37 a.m.