qshap_loss: Calculate Q-SHAP Loss Contributions
In qshap: Fast Calculation of Feature Contributions in Boosting Trees
View source: R/tree_explainer.R
qshap_loss R Documentation
Calculate Q-SHAP Loss Contributions
Description
Computes the feature-specific loss contributions using Q-SHAP decomposition.
This is an internal function typically called by rsq().
Usage
qshap_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)
qshap documentation built on Aug. 23, 2026, 5:11 p.m.
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View source: R/tree_explainer.R
| qshap_loss | R Documentation |
Calculate Q-SHAP Loss Contributions
Description
Computes the feature-specific loss contributions using Q-SHAP decomposition.
This is an internal function typically called by rsq().
Usage
qshap_loss(explainer, x, y, y_mean_ori = NULL)
Arguments
explainer |
A qshap_tree_explainer object created by |
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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