---
title: "pairwise(_:scale:judge:scoringMode:evaluationTarget:)"
framework: evaluations
role: symbol
role_heading: Type Method
path: "evaluations/modeljudgeevaluator/pairwise(_:scale:judge:scoringmode:evaluationtarget:)"
---

# pairwise(_:scale:judge:scoringMode:evaluationTarget:)

Creates a pairwise comparison evaluator that compares the model’s response against the sample’s expected value.

## Declaration

```swift
static func pairwise(_ name: String, scale: ScoringScale, judge: any LanguageModel, scoringMode: ScoringMode = .discrete, evaluationTarget: (@Sendable (Input.ExpectedValue) -> String)? = nil) -> ModelJudgeEvaluator<Input>
```

## Parameters

- `name`: The metric name that corresponds to the DataFrame column.
- `scale`: Scoring scale for the comparison.
- `judge`: The language model to use as judge.
- `scoringMode`: A value that indicates whether scores are discrete (default) or allow any floating-point value.
- `evaluationTarget`: An optional closure that converts the value to a string. Both responses use this target.

## Mentioned in

Scoring with model-as-judge evaluators

## Discussion

Discussion The judge sees the model’s output under “Response” and the expected value from input.expected under “Baseline Response” in the Context section.

## See Also

### Creating a pairwise evaluator

- [pairwise(judge:dimensions:scoringMode:evaluationTarget:)](evaluations/modeljudgeevaluator/pairwise(judge:dimensions:scoringmode:evaluationtarget:).md)