Predict LIME — map_lime • spatialexplain

For each observation in the raster, the function returns an explanation of the model prediction using selected implementation of the LIME (Local Interpretable Model-agnostic Explanations) method.

Usage

map_lime(explainer, raster_obs, maxcell = 1000, ..., type = "localModel")

Arguments

explainer: a model to be explained, preprocessed by the DALEX::explain() function
raster_obs: a SpatRaster object with the observations to be explained (predictors used in the model)
maxcell: the maximum number of cells in the raster. If the number of cells in the raster is greater than maxcell, the function will sample maxcell cells from the raster. By default 1000
...: additional parameters passed to the DALEXtra::predict_surrogate() function
type: the type of the LIME method implementation. Possible values are: "localModel" (default), "iml", and "lime"

Value

A SpatRaster object with the same dimensions as raster_obs. The number of layers it has may vary depending on the type of the LIME method implementation

Examples

library(terra)
predictors_agg = rast(system.file("raster/predictors_agg.tif", package = "spatialexplain"))
data("regr_exp", package = "spatialexplain")
regr_pss_lm = map_lime(regr_exp, predictors_agg, maxcell = 20)
plot(regr_pss_lm)