prepare_data: Generate data used for predictions and Monte Carlo...

In shapr: Prediction Explanation with Dependence-Aware Shapley Values

Generate data used for predictions and Monte Carlo integration

Description

Generate data used for predictions and Monte Carlo integration

Usage

prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'categorical'
prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'copula'
prepare_data(internal, index_features, ...)

## S3 method for class 'ctree'
prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'empirical'
prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'gaussian'
prepare_data(internal, index_features, ...)

## S3 method for class 'independence'
prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'regression_separate'
prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'regression_surrogate'
prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'timeseries'
prepare_data(internal, index_features = NULL, ...)

## S3 method for class 'vaeac'
prepare_data(internal, index_features = NULL, ...)

Arguments

internal	List. Not used directly, but passed through from explain().
index_features	Positive integer vector. Specifies the id_coalition to apply to the present method. NULL means all coalitions. Only used internally.
...	Currently not used.

Value

A data.table containing simulated data used to estimate the contribution function by Monte Carlo integration.

Author(s)

Martin Jullum

Annabelle Redelmeier and Lars Henry Berge Olsen

Lars Henry Berge Olsen

Martin Jullum,

shapr documentation built on April 4, 2025, 12:18 a.m.