observation_impute: Generate permutations of training data using test...
In shapr: Prediction Explanation with Dependence-Aware Shapley Values

observation_impute

R Documentation

Generate permutations of training data using test observations

Generate permutations of training data using test observations

observation_impute(
  W_kernel,
  S,
  x_train,
  x_explain,
  empirical.eta = 0.7,
  n_MC_samples = 1000
)

`W_kernel`	Numeric matrix. Contains all nonscaled weights between training and test observations for all coalitions. The dimension equals `⁠n_train x m⁠`.
`S`	Integer matrix of dimension `⁠n_coalitions x m⁠`, where `n_coalitions` and `m` equals the total number of sampled/non-sampled coalitions and the total number of unique features, respectively. Note that `m = ncol(x_train)`.
`x_train`	Data.table with training data.
`x_explain`	Data.table with the features of the observation whose predictions ought to be explained (test data).