Plot per-target weight diagnostics — autoplot.dnn

autoplot() on a diagnostics() frame draws three facets across targets: effective sample size (n_eff, with a dotted guide at 0.9 * n, the degenerate-weights warning threshold), the maximum weight, and the top-5 weight share. plot() prints the same panel.

Usage

autoplot.dnn_diagnostics(object, ...)

# S3 method for class 'dnn_diagnostics'
plot(x, ...)

Arguments

object: A dnn_diagnostics object from diagnostics().
...: Ignored; reserved for future options.
x: A dnn_diagnostics object (for the plot() method).

Value

A ggplot object.

Examples

if (requireNamespace("ggplot2", quietly = TRUE)) {
  set.seed(1)
  n <- 80
  x_mat <- matrix(rnorm(n * 2), n, 2)
  y_vec <- x_mat[, 1] + rnorm(n, sd = 0.3)
  fit <- np_dnn(
    X = x_mat, X0 = cbind(seq(-1, 1, length.out = 5), 0), Y = y_vec,
    k = 1L, s = 12L, se = FALSE
  )
  ggplot2::autoplot(diagnostics(fit))
}