SDMtune (version 0.1.0)

get_tunable_args: Get Tunable Arguments

Description

Returns the name of all function arguments that can be tuned for a given model.

Usage

get_tunable_args(model)

Arguments

model

'>SDMmodel or '>SDMmodelCV object.

Value

character vector

Examples

# NOT RUN {
# Acquire environmental variables
files <- list.files(path = file.path(system.file(package = "dismo"), "ex"),
                    pattern = "grd", full.names = TRUE)
predictors <- raster::stack(files)

# Prepare presence locations
p_coords <- condor[, 1:2]

# Prepare background locations
bg_coords <- dismo::randomPoints(predictors, 5000)

# Create SWD object
presence <- prepareSWD(species = "Vultur gryphus", coords = p_coords,
                       env = predictors, categorical = "biome")
bg <- prepareSWD(species = "Vultur gryphus", coords = bg_coords,
                 env = predictors, categorical = "biome")

# Train a Maxent model and get tunable hyperparameters
model <- train(method = "Maxnet", p = presence, a = bg, fc = "l")
get_tunable_args(model)

# }
# NOT RUN {
# Train a Maxnet model and get tunable hyperparameters
model <- train(method = "Maxent", p = presence, a = bg, fc = "l")
get_tunable_args(model)
# }