View source: R/dsmartr_evaluate.R
| eval_ties | R Documentation | 
Calculates and maps out locations where the most-probable soil is a tie
between two or more classes. Requires output from
dsmartr::collate().
eval_ties(tallied_preds = NULL, cpus = 1)
tallied_preds | 
 RasterBrick;   | 
cpus | 
 Integer; number of processors to use in parallel.  | 
n_classes_predicted: RasterLayer depicting the number of soils
tied for most-probable per pixel. Written to disk as GeoTIFF.
## Not run: 
# run iterate() and collate() with the example data then:
tiemap <- eval_ties(tallied_preds = collated[['tallied_predictions']],
                   cpus = max(1, (parallel::detectCores() - 1)))
                   
## End(Not run)
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