Collect DatasetEvidence submission metadata interactively

This helper gathers the evidence-to-task assignment and evidence type for each supporting evidence item in a Trio.

Usage

collectEvidenceSubmissionInfo(trio, task_args, defaults = list())

Arguments

trio

A Trio object.

task_args

Named list returned by collectTaskSubmissionInfo().

defaults

Optional named list with entries taskName and evidenceType. Each entry may be length 1 or length equal to the number of supporting evidence items in trio.

Value

A named list with datasetTaskID, evidenceName, evidenceType, and evidence_task_map.

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."
)
task_args <- list(
  taskStage = "prediction",
  taskType = "classification",
  taskName = "class_prediction"
)
collectEvidenceSubmissionInfo(
  trio,
  task_args = task_args,
  defaults = list(
    taskName = "class_prediction",
    evidenceType = "experimental_ground_truth"
  )
)
#> $datasetTaskID
#> [1] "SUBMISSION_TASK_1"
#> 
#> $evidenceName
#> [1] "class_labels"
#> 
#> $evidenceType
#> [1] "experimental_ground_truth"
#> 
#> $evidence_task_map
#>       class_labels 
#> "class_prediction" 
#>