create_boundary_plot: Render a decision boundary plot for the Shiny app

In classbound: Visualization for Classification Decision Boundaries

Render a decision boundary plot for the Shiny app

Description

Render a decision boundary plot for the Shiny app

Usage

create_boundary_plot(
  cb_mod,
  data,
  title,
  class_levels = NULL,
  class_colors = NULL,
  proj_matrix = NULL,
  proj_info = NULL,
  zoom_x = NULL,
  zoom_y = NULL,
  show_probs = FALSE,
  resolution = 100,
  predict_args = list(),
  n_outliers = 0,
  highlight_outliers = TRUE,
  slice_x = NULL,
  slice_y = NULL
)

Arguments

cb_mod	A classbound_model object.
data	The training data to overlay.
title	The title of the plot.
class_levels	The factor levels for the classes.
proj_matrix	Optional projection matrix.
proj_info	Optional list with center and scale for projection.
zoom_x	Optional x-axis limits.
zoom_y	Optional y-axis limits.
show_probs	Whether to show probability gradients.
resolution	The grid resolution.
slice_x	Optional. Feature name to use for the X axis in 2D Slice mode.
slice_y	Optional. Feature name to use for the Y axis in 2D Slice mode.

Value

A ggplot object.

classbound documentation built on Sept. 30, 2026, 5:13 p.m.