classify

Multi-label classification identifies and applies one or more relevant taxonomy labels to a target item. It assigns labels based on observed characteristics across documents, code, or data, returning a structured result with confidence and evidence anchors.

Yes, you can use multi-label classification to tag entities by type. It supports assigning one or more labels to items like documents, data, or code based on a defined taxonomy, ensuring consistent categorization and searchability across your content.

Yes, the classification output includes confidence scores and evidence anchors. The structured result provides assigned labels, a primary label, confidence levels, and evidence anchors per the output schema to validate the tagging decision.

No, providing a custom taxonomy is optional. You can supply a custom taxonomy to drive the labeling process for specific categorization needs, but the classification can also apply labels directly to items without a predefined taxonomy input.

The best way to classify code and content for downstream analytics is using taxonomy-driven labeling. This process assigns consistent labels to items, returning structured output with primary labels and confidence scores to enable accurate searchability and data retrieval.