Process ROI — process

Process a region of interest (ROI) and return the formatted results.

Usage

process_roi(mod_spec, roi, rnum, ...)

# Default S3 method
process_roi(mod_spec, roi, rnum, center_global_id = NA, ...)

# S3 method for class 'custom_internal_model_spec'
process_roi(mod_spec, roi, rnum, ...)

Arguments

mod_spec: The model specification object.
roi: The region of interest data.
rnum: A numeric or string identifier for the ROI.
...: Additional arguments passed to the method-specific function.
center_global_id: Optional global ID of the center voxel. Defaults to NA.

Value

A tibble row containing the performance metrics for the ROI.

Examples

# \donttest{
  ds <- gen_sample_dataset(c(4, 4, 4), 20, blocks = 2)
  cv <- blocked_cross_validation(ds$design$block_var)
  mdl <- load_model("sda_notune")
  spec <- mvpa_model(
    model = mdl,
    dataset = ds$dataset,
    design = ds$design,
    model_type = "classification",
    crossval = cv
  )
  vox <- sample(which(ds$dataset$mask > 0), 30)
  samp <- data_sample(ds$dataset, vox)
  roi_obj <- as_roi(samp, ds$dataset)
  process_roi(spec, roi_obj, 1)
#> # A tibble: 1 × 8
#>   result         indices    performance    id error error_message warning
#>   <list>         <list>     <list>      <dbl> <lgl> <chr>         <lgl>  
#> 1 <mltwy_c_ [6]> <dbl [30]> <dbl [2]>       1 FALSE ~             FALSE  
#> # ℹ 1 more variable: warning_message <chr>
# }