compute_vS: Computes 'v(S)' for all features subsets 'S'.
In shapr: Prediction Explanation with Dependence-Aware Shapley Values
compute_vS R Documentation
Computes v(S) for all features subsets S.
Description
Computes v(S) for all features subsets S.
Usage
compute_vS(internal, model, predict_model, method = "future")
Arguments
internal
List.
Not used directly, but passed through from explain().
method
Character
Indicates whether the lapply method (default) or loop method should be used.
Options other than "future" is only used for testing/debugging.
Value
List of v(S) for different coalitions S, optionally also with the samples used to estimate v(S)
shapr documentation built on April 4, 2025, 12:18 a.m.
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| compute_vS | R Documentation |
Computes v(S) for all features subsets S.
Description
Computes v(S) for all features subsets S.
Usage
compute_vS(internal, model, predict_model, method = "future")
Arguments
internal |
List.
Not used directly, but passed through from |
method |
Character Indicates whether the lapply method (default) or loop method should be used. Options other than "future" is only used for testing/debugging. |
Value
List of v(S) for different coalitions S, optionally also with the samples used to estimate v(S)
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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