Collect DatasetTask submission metadata interactively

This helper gathers the task-level fields needed for the DatasetTask table. It does not modify the Trio object.

Usage

collectTaskSubmissionInfo(trio, defaults = list(), n_tasks = NULL)

Arguments

trio

A Trio object.

defaults

Optional named list of pre-filled task values. Supported entries are taskStage, taskType, and taskName. Each entry may be length 1 or length n_tasks.

n_tasks

Number of tasks to define. If NULL, interactive sessions prompt for this value, while non-interactive sessions infer it from the longest defaults vector.

Value

A named list ready to pass as task_args to buildDatasetTaskSubmission().

Examples

data <- data.frame(feature = c(1, 2, 3), row.names = paste0("sample", 1:3))
labels <- factor(c("A", "B", "A"))
names(labels) <- rownames(data)
trio <- Trio$new(
  data = data,
  evidence = list(class_labels = list(
    evidence = labels,
    metrics = "macroF1Metric"
  )),
  metrics = list(macroF1Metric = macroF1Metric),
  name = "example_dataset",
  description = "A small example dataset."
)
collectTaskSubmissionInfo(
  trio,
  defaults = list(
    taskStage = "prediction",
    taskType = "classification",
    taskName = "class_prediction"
  )
)
#> $taskStage
#> [1] "prediction"
#> 
#> $taskType
#> [1] "classification"
#> 
#> $taskName
#> [1] "class_prediction"
#>