> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# evaluate • Rust AI Agent SDK

> evaluate: Evaluate with provided scores.

# evaluate

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  <Badge color="purple">Method</Badge>
</div>

> This is a method of the [**CriteriaEvaluator**](../classes/CriteriaEvaluator) class in the [**eval**](../modules/eval) module.

Evaluate with provided scores.

## Signature

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def evaluate(&self, scores: &HashMap<String, f64>) -> CriteriaResult
```

## Parameters

<ParamField query="scores" type="&HashMap<String" required={true}>
  No description available.
</ParamField>

### Returns

<ResponseField name="Returns" type="CriteriaResult">
  The result of the operation.
</ResponseField>

***

## Related Documentation

<CardGroup cols={2}>
  <Card title="Rust Evaluation" icon="gavel" href="/docs/rust/evaluation" />

  <Card title="Rust Criteria" icon="check-double" href="/docs/rust/criteria" />
</CardGroup>