Nonlinear Coefficient of Determination Using `feature_data` Objects — rsquared • mlfeaturer

Estimates the nonlinear R2 from a machine learning model compared to a `feature_data` object.

Usage

rsquared(object, ...)

# S4 method for class 'feature_data'
rsquared(
  object,
  model,
  subset = c("all", "test", "train"),
  prep = c("both", "scale", "transform", "none"),
  ...
)

Arguments

object: A `feature_data` object.
...: Additional arguments passed down to `predict()`.
model: A fitted model object.
subset: Subset of the `preproc` dataset (`"all"`, `"train"`, or `"test"`).
prep: Character argument if transformed data ("transform"), scaled data ("scale"), transformed and scaled data ("both"), or original raw data ("none") will be returned.

Value

The coefficient of determination as an un-named scalar numeric value.

Methods (by class)

rsquared(feature_data): Method for estimating the coefficient of determination of a model for a `feature_data` object.