flashlight (version 0.7.5)

light_performance: Model Performance of Flashlight

Description

Calculates performance of a flashlight with respect to one or more performance measure.

Usage

light_performance(x, ...)
# S3 method for default
light_performance(x, ...)
# S3 method for flashlight
light_performance(
  x,
  data = x$data,
  by = x$by,
  metrics = x$metrics,
  use_linkinv = FALSE,
  metric_name = "metric",
  value_name = "value",
  label_name = "label",
  ...
)
# S3 method for multiflashlight
light_performance(x, ...)

Arguments

x

An object of class flashlight or multiflashlight.

...

Arguments passed from or to other functions.

data

An optional data.frame.

by

An optional vector of column names used to additionally group the results. Will overwrite x$by.

metrics

An optional named list with metrics. Each metric takes at least four arguments: actual, predicted, case weights w and ....

use_linkinv

Should retransformation function be applied? Default is FALSE.

metric_name

Column name in resulting data containing the name of the metric. Defaults to "metric".

value_name

Column name in resulting data containing the value of the metric. Defaults to "value".

label_name

Column name in resulting data containing the label of the flashlight. Defaults to "label".

Value

An object of class light_performance, light (and a list) with the following elements.

• data A tibble containing the results. Can be used to build fully customized visualizations.

• by Same as input by.

• metric_name Same as input metric_name.

• value_name Same as input value_name.

• label_name Same as input label_name.

Methods (by class)

• default: Default method not implemented yet.

• flashlight: Model performance of flashlight object.

• multiflashlight: Model performance of multiflashlight object.

Details

The minimal required elements in the (multi-) flashlight are "y", "predict_function", "model", "data" and "metrics". The latter two can also directly be passed to light_performance. Note that by default, no retransformation function is applied.

See Also

plot.light_performance.

Examples

# NOT RUN {
fit <- lm(Sepal.Length ~ ., data = iris)
fl <- flashlight(model = fit, label = "lm", data = iris, y = "Sepal.Length")
light_performance(fl)
light_performance(fl, by = "Species")
# }