Computes a Local Interpretable Model-agnostic Explanation for a
single observation.
Usage
fregre.lime(
model,
data,
observation,
n.samples = 500,
kernel.width = 1,
seed = NULL
)
Arguments
- model
A fitted fregre.lm or fregre.logistic model.
- data
An fdata object.
- observation
Index of the observation to explain (1-based).
- n.samples
Number of neighborhood samples (default 500).
- kernel.width
Kernel width for local weighting (default 1).
- seed
Random seed.
Value
A list with observation, attributions, local_intercept,
local_r_squared, and kernel_width.
Examples
# \donttest{
fd <- fdata(matrix(rnorm(500), nrow = 50), argvals = seq(0, 1, length.out = 10))
y <- rnorm(50)
fit <- fregre.lm(fd, y, ncomp = 3)
result <- fregre.lime(fit, fd, observation = 1)
# }