run_RF_workflow | R Documentation |
Run the full workflow for RF
run_RF_workflow( data, rerank = TRUE, Ncpu = 2, coef = 1, rep_feature_select = 1000, rep_finetune = 1000, rep_simu = 10000, n_trees = 10000, grid_type = "fine" )
data |
the full dataset |
rerank |
whether or not to recompute variable importance recursively during selection (default = TRUE) |
Ncpu |
the number of CPU cores to be used (default = 1) |
coef |
the coefficient used to population rangers in unsurveyed part of surveyed countries (see |
rep_feature_select |
the number of replicates for the feature selection (default = 1000) |
rep_finetune |
the number of replicates for fine tuning (default = 1000) |
rep_simu |
the number of simulation replicates (default = 10000) |
n_trees |
the number of trees in the random forest |
grid_type |
The type of grid to use for finetuning the RF ("fine", the default, or "coarse") |
a list with all the output information
## Not run: RF_small_test <- run_RF_workflow(data = data_rangers, Ncpu = 2, coef = 1, rep_feature_select = 2, rep_finetune = 2, rep_simu = 2, grid_type = "coarse", n_trees = 100) ## End(Not run)
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