Generate data used for predictions and Monte Carlo integration
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.
Returns
A data.table containing simulated data used to estimate the contribution function by Monte Carlo integration.