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

In NorskRegnesentral/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	Not used.
index_features	Positive integer vector. Specifies the indices of combinations to apply to the present method. NULL means all combinations. 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)

Lars Henry Berge Olsen

NorskRegnesentral/shapr documentation built on April 19, 2024, 1:19 p.m.