Check output type values of model output data against config — check_tbl_value

Checks that values in the value column of a tibble/data.frame of data read in from the file being validated conform to the configuration for each output type of the appropriate model task.

Usage

check_tbl_value_col(
  tbl,
  round_id,
  file_path,
  hub_path,
  derived_task_ids = get_hub_derived_task_ids(hub_path, round_id)
)

Arguments

tbl: a tibble/data.frame of the contents of the file being validated.
round_id: character string. The round identifier.
file_path: character string. Path to the file being validated relative to the hub's model-output directory.
hub_path: Either a character string path to a local Modeling Hub directory or an object of class <SubTreeFileSystem> created using functions s3_bucket() or gs_bucket() by providing a string S3 or GCS bucket name or path to a Modeling Hub directory stored in the cloud. For more details consult the Using cloud storage (S3, GCS) in the arrow package. The hub must be fully configured with valid admin.json and tasks.json files within the hub-config directory.
derived_task_ids: Character vector of derived task ID names (task IDs whose values depend on other task IDs) to ignore. Columns for such task ids will contain NAs. Defaults to extracting derived task IDs from hub task.json. See get_hub_derived_task_ids() for more details.

Value

Depending on whether validation has succeeded, one of:

<message/check_success> condition class object.
<error/check_failure> condition class object.

Returned object also inherits from subclass <hub_check>.