loss: Alias for qshap_loss

In qshap: Fast Calculation of Feature Contributions in Boosting Trees

Alias for qshap_loss

Description

This is a convenience alias for qshap_loss() that provides a shorter function name for calculating feature-specific loss contributions.

Usage

loss(explainer, x, y, y_mean_ori = NULL)

Arguments

explainer	A qshap_tree_explainer object created by gazer()
x	Feature matrix or data frame
y	Response vector
y_mean_ori	Optional pre-computed mean of y (for efficiency)

Value

A matrix of loss contributions with dimensions (n_samples, n_features)

See Also

qshap_loss

Examples

library(xgboost)
set.seed(42)
n <- 100
p <- 100
X <- matrix(rnorm(n * p), nrow = n, ncol = p)
y <- X[, 1] - X[, 2] + rnorm(n, sd = 0.2)
model <- xgboost(X, y, nrounds = 15, max_depth = 2, verbosity = 0, nthread = 1)
explainer <- gazer(model)
loss_matrix <- loss(explainer, X, y)
dim(loss_matrix)

qshap documentation built on Aug. 23, 2026, 5:11 p.m.