MLMetric: MLMetric Class Constructor

In MachineShop: Machine Learning Models and Tools

MLMetric Class Constructor

Description

Create a performance metric for use with the MachineShop package.

Usage

MLMetric(object, name = "MLMetric", label = name, maximize = TRUE)

MLMetric(object) <- value

Arguments

object	function to compute the metric, defined to accept observed and predicted as the first two arguments and with an ellipsis (...) to accommodate others.
name	character name of the object to which the metric is assigned.
label	optional character descriptor for the model.
maximize	logical indicating whether higher values of the metric correspond to better predictive performance.
value	list of arguments to pass to the MLMetric constructor.

Value

MLMetric class object.

See Also

metrics

Examples

f2_score <- MLMetric(
  function(observed, predicted, ...) {
    f_score(observed, predicted, beta = 2, ...)
  },
  name = "f2_score",
  label = "F Score (beta = 2)",
  maximize = TRUE
)

MachineShop documentation built on Sept. 11, 2024, 6:28 p.m.