Feature values

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Definition

The feature values test allows you to define the expected range of values for a feature. For categorical features, you can define the expected categories.

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Taxonomy

• Category: Integrity.
• Task types: Tabular classification, tabular regression.
• Availability: development and monitoring.

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Why it matters

• Ensuring that the values of a feature are always within a defined range is important to validate the hypotheses around the data. For example, for a feature such as Age, negative values would be invalid and signal an issue with the data collection/ingestion process.
• Values outside the expected range can also be a sign of data drift.
• For some categorical features, it is important to ensure that the values are always within the expected categories.

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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:

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Related

• Feature drift test.