Predict spatial surrogate — predict_spatial

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

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

Arguments

explainer: a model to be explained, preprocessed by the DALEX::explain() function
raster_obs: a raster 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 raster object with the same dimensions as raster_obs. The number of layers 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 = predict_spatial_surrogate(regr_exp, predictors_agg, maxcell = 20)
plot(regr_pss_lm)