Extract Lambda Values from a Maxent Run Result — maxent_extract

Retrieves the trained lambda (weight) coefficients from the output of maxent_run, returning them as a named numeric vector. Each element is the lambda value for the corresponding feature, and the name of each element is the feature name (e.g. "bio1", "bio1^2", "bio1'1").

Usage

maxent_extract_lambdas(run_result)

Arguments

run_result: A named list as returned by maxent_run. Must contain an element model holding the trained FeaturedSpace external pointer.

Value

A named numeric vector of lambda values, one per feature. Names are the feature names as stored in the model.

Details

The function reads lambdas directly from the trained model object, so it also works correctly after reloading coefficients with maxent_load_lambdas.

Examples

if (FALSE) { # \dontrun{
library(maxentcpp)
library(terra)

stack_path      <- system.file("extdata", "stack_1_12_crop.rds",
                               package = "maxentcpp")
example_rasters <- terra::unwrap(readRDS(stack_path))
grids <- list(
  bio1  = maxent_grid_from_terra(example_rasters[[1]]),
  bio12 = maxent_grid_from_terra(example_rasters[[2]])
)
data(example_occ_df)

result <- maxent_run(
  species    = "Abeillia_abeillei",
  env_grids  = grids,
  occ_df     = example_occ_df,
  output_dir = tempdir(),
  lon_col    = "long",
  lat_col    = "lat")

lambdas <- maxent_extract_lambdas(result)
print(lambdas)
} # }