Skip to main content

​
Definition

The new labels test checks if there are new labels in the validation set which are not present in the training set.

​
Taxonomy

  • Task types: Tabular classification, text classification.
  • Availability: .

​
Why it matters

  • If the validation set contains new labels which the model has not seen during training, it will never predict them correctly.

​
Test configuration examples

If you are writing a tests.json, here are a few valid configurations for the character length test: 
[
  {
    "name": "No new labels",
    "description": "Asserts that there are no new labels in the current dataset if compared to the reference dataset",
    "type": "consistency",
    "subtype": "newLabelCount",
    "thresholds": [
      {
        "insightName": "newLabels",
        "insightParameters": null,
        "measurement": "newLabelCount",
        "operator": "<=",
        "value": 0
      }
    ],
    "subpopulationFilters": null,
    "mode": "development",
    "usesValidationDataset": true,
    "usesTrainingDataset": true,
    "usesMlModel": false,
    "syncId": "b4dee7dc-4f15-48ca-a282-63e2c04e0689" // Some unique id
  }
]