shapviz (version 0.9.5)

sv_waterfall: SHAP Waterfall Plot

Description

Creates a waterfall plot of SHAP values of one observation. If multiple observations are selected, their SHAP values and predictions are averaged.

Usage

sv_waterfall(object, ...)
# S3 method for default
sv_waterfall(object, ...)
# S3 method for shapviz
sv_waterfall(
  object,
  row_id = 1L,
  max_display = 10L,
  order_fun = function(s) order(abs(s)),
  fill_colors = c("#f7d13d", "#a52c60"),
  format_shap = getOption("shapviz.format_shap"),
  format_feat = getOption("shapviz.format_feat"),
  contrast = TRUE,
  show_connection = TRUE,
  show_annotation = TRUE,
  annotation_size = 3.2,
  ...
)
# S3 method for mshapviz
sv_waterfall(
  object,
  row_id = 1L,
  max_display = 10L,
  order_fun = function(s) order(abs(s)),
  fill_colors = c("#f7d13d", "#a52c60"),
  format_shap = getOption("shapviz.format_shap"),
  format_feat = getOption("shapviz.format_feat"),
  contrast = TRUE,
  show_connection = TRUE,
  show_annotation = TRUE,
  annotation_size = 3.2,
  ...
)

Value

An object of class "ggplot" (or "patchwork") representing a waterfall plot.

Arguments

object

An object of class "(m)shapviz".

...

Arguments passed to ggfittext::geom_fit_text(). For example, size = 9 will use fixed text size in the bars and size = 0 will altogether suppress adding text to the bars.

row_id

Subset of observations to plot, typically a single row number. If more than one row is selected, SHAP values are averaged, and feature values are shown only when they are unique.

max_display

Maximum number of features (with largest absolute SHAP values) should be plotted? If there are more features, they will be collapsed to one feature. Set to Inf to show all features.

order_fun

Function specifying the order of the variables/SHAP values. It maps the vector s of SHAP values to sort indices from 1 to length(s). The default is function(s) order(abs(s)). To plot without sorting, use function(s) 1:length(s) or function(s) length(s):1.

fill_colors

A vector of exactly two fill colors: the first for positive SHAP values, the other for negative ones.

format_shap

Function used to format SHAP values. The default uses the global option shapviz.format_shap, which equals to function(z) prettyNum(z, digits = 3, scientific = FALSE) by default.

format_feat

Function used to format numeric feature values. The default uses the global option shapviz.format_feat, which equals to function(z) prettyNum(z, digits = 3, scientific = FALSE) by default.

contrast

Logical flag that detemines whether to use white text in dark arrows. Default is TRUE.

show_connection

Should connecting lines be shown? Default is TRUE.

show_annotation

Should "f(x)" and "E(f(x))" be plotted? Default is TRUE.

annotation_size

Size of the annotation text (f(x)=... and E(f(x))=...).

Methods (by class)

• sv_waterfall(default): Default method.

• sv_waterfall(shapviz): SHAP waterfall plot for an object of class "shapviz".

• sv_waterfall(mshapviz): SHAP waterfall plot for an object of class "mshapviz".

Details

f(x) denotes the prediction on the SHAP scale, while E(f(x)) refers to the baseline SHAP value.

See Also

sv_force()

Examples

dtrain <- xgboost::xgb.DMatrix(
  data.matrix(iris[, -1]), label = iris[, 1], nthread = 1
)
fit <- xgboost::xgb.train(data = dtrain, nrounds = 20, nthread = 1)
x <- shapviz(fit, X_pred = dtrain, X = iris[, -1])
sv_waterfall(x)
sv_waterfall(x, row_id = 123, max_display = 2, size = 9, fill_colors = 4:5)

# Ordered by colnames(x), combined with max_display
sv_waterfall(
  x[, sort(colnames(x))], order_fun = function(s) length(s):1, max_display = 3
)

# Aggregate over all observations with Petal.Length == 1.4
sv_waterfall(x, row_id = x$X$Petal.Length == 1.4)