Generate data used for predictions and Monte Carlo integration

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

Martin Jullum

Annabelle Redelmeier and Lars Henry Berge Olsen

Lars Henry Berge Olsen

Martin Jullum,