The dissimilarity index of new data.

The dissimilarity index of new data.

Usage

dissimilarity_index(ref, x, chunk = 2000L)

Arguments

ref

From di_reference().

x

Numeric matrix of new rows, scaled with the MODEL's scaling.

chunk

Rows of x compared at a time. It bounds the memory a call takes and does not change the result.

Value

Numeric vector, one DI per row. 0 means identical to a training point; 1 means as far from the training data as two training points are from each other on average.

Examples

set.seed(1)
x_train <- matrix(rnorm(200), 100, 2)    # 100 training rows of 2 scaled predictors
ref <- di_reference(x_train)
dissimilarity_index(ref, rbind(c(0, 0), c(4, 4)))   # near the data, and far from it
#> [1] 0.1040553 2.3432834