​
Definition

The new categories test checks if there are new categories in the validation set which are not present in the training set for the categorical features.

​
Taxonomy

  • Category: Consistency.
  • Task types: Tabular classification, tabular regression.
  • Availability: .

​
Why it matters

  • If the validation set contains new categories, the model is not prepared to make good predictions for them.

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Test configuration examples

If you are writing a tests.json, here are a few valid configurations for the character length test:

[
  {
    "name": "No new categories",
    "description": "Asserts that there are no new categories in the current dataset if compared to the reference dataset",
    "type": "consistency",
    "subtype": "newCategoryCount",
    "thresholds": [
      {
        "insightName": "newCategories",
        "insightParameters": null,
        "measurement": "newCategoryCount",
        "operator": "<=",
        "value": 0
      }
    ],
    "subpopulationFilters": null,
    "mode": "development",
    "usesValidationDataset": true,
    "usesTrainingDataset": true,
    "usesMlModel": false,
    "syncId": "b4dee7dc-4f15-48ca-a282-63e2c04e0689" // Some unique id
  }
]

​
Definition

The new categories test checks if there are new categories in the validation set which are not present in the training set for the categorical features.

​
Taxonomy

  • Category: Consistency.
  • Task types: Tabular classification, tabular regression.
  • Availability: .

​
Why it matters

  • If the validation set contains new categories, the model is not prepared to make good predictions for them.

​
Test configuration examples

If you are writing a tests.json, here are a few valid configurations for the character length test:

[
  {
    "name": "No new categories",
    "description": "Asserts that there are no new categories in the current dataset if compared to the reference dataset",
    "type": "consistency",
    "subtype": "newCategoryCount",
    "thresholds": [
      {
        "insightName": "newCategories",
        "insightParameters": null,
        "measurement": "newCategoryCount",
        "operator": "<=",
        "value": 0
      }
    ],
    "subpopulationFilters": null,
    "mode": "development",
    "usesValidationDataset": true,
    "usesTrainingDataset": true,
    "usesMlModel": false,
    "syncId": "b4dee7dc-4f15-48ca-a282-63e2c04e0689" // Some unique id
  }
]