MSE Metric — MseMetric • bayesim

Mean squared error between predictions and the observed response on the test set. Returns NA when no test set is present (no training-set fallback).

Constructor for MseMetric.

Usage

MseMetric(
  name = "mse",
  needs = "predictions",
  required = FALSE,
  summary_type = "mean",
  schema = list(value = list(role = "estimate", aggregation = "mean", mcse = "sd"), n_obs
    = list(role = "count", aggregation = "none", mcse = "none"))
)

pred_mse_metric(name = "mse")

Arguments

name: Character string naming the metric. Defaults to "mse".

Value

An MseMetric object.

Examples

pred_mse_metric()
#> <bayesim::MseMetric>
#>  @ name        : chr "mse"
#>  @ needs       : chr "predictions"
#>  @ required    : logi FALSE
#>  @ summary_type: chr "mean"
#>  @ schema      :List of 2
#>  .. $ value:List of 3
#>  ..  ..$ role       : chr "estimate"
#>  ..  ..$ aggregation: chr "mean"
#>  ..  ..$ mcse       : chr "sd"
#>  .. $ n_obs:List of 3
#>  ..  ..$ role       : chr "count"
#>  ..  ..$ aggregation: chr "none"
#>  ..  ..$ mcse       : chr "none"