Classification

An item evaluated once under the task's input conditions: text, an image, an audio clip or a feature vector, against the model's labels.

• model (a catalog classifier) or deployment (your own); task: "classification"; inputs as the batch, each with type text, image or audio and text, inline data or an upload_id.
• options as the task definition states them: labels for a zero-shot classifier, top_k, a threshold where the model is multi-label.
• The whole batch runs on one worker; the maximum inputs per request is the model's hips.limits.max_inputs. An over-condition item is refused with a 400 (the alternative, counting it as several units, is open Not decided yet).

• per_1000_classifications: one classification is one item evaluated once under the task's input conditions; a batch of forty items is forty.
• usage.units counts the inputs and usage.billed_units the answered ones; an input the worker cannot read is not billed.

• One entry per input, in request order, with input the input's id: labels: [{label, score}] ordered by score, as the task definition's output states (softmax, sigmoid or logits; single-label or multi-label).
• A per-input failure is an error entry in the envelope's shape beside the other inputs' results.