Generate permutations of training data using test observations
observation_impute(
W_kernel,
S,
x_train,
x_test,
w_threshold = 0.7,
n_samples = 1000
)data.table
Numeric matrix. Contains all nonscaled weights between training and test
observations for all feature combinations. The dimension equals n_train x m.
Integer matrix of dimension n_combinations x m, where n_combinations
and m equals the total number of sampled/non-sampled feature combinations and
the total number of unique features, respectively. Note that m = ncol(x_train).
Numeric matrix
Numeric matrix
Numeric vector of length 1, where w_threshold > 0 and
w_threshold <= 1. If w_threshold = .8 we will choose the K samples with
the largest weight so that the sum of the weights accounts for 80% of the total weight.
Nikolai Sellereite