# Evaluators

- [AnswerRelevance](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/answer-relevance.md): Evaluator to assess how well an answer addresses a given question with optional context.
- [Coherence](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/coherence.md): Evaluator to assess the coherence and logical flow of a response.
- [Conciseness](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/conciseness.md): Evaluator to assess how concise and to-the-point an answer is.
- [ContextRelevance](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/context-relevance.md): Evaluator to assess how relevant retrieved documents are to a user query.
- [CustomJudge](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/custom-judge.md): Create a fully customizable LLM-as-a-Judge evaluator with your own prompt and output schema.
- [CustomJudgeSpec](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/custom-judge-spec.md): Reusable prompt specification for CustomJudge evaluators.
- [EvalFn](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/eval-fn.md): Evaluator that wraps a user-provided function for dynamic evaluation.
- [Evaluator](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/evaluator.md): Abstract base class for creating custom evaluators in Fiddler Evals.
- [FTLPromptSafety](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/ftl-prompt-safety.md): Evaluator to assess prompt safety using Fiddler Centor Models.
- [FTLResponseFaithfulness](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/ftl-response-faithfulness.md): Evaluator to assess response faithfulness using Fiddler Centor Models.
- [InputFieldSpec](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/input-field-spec.md): Metadata for a template variable (input field).
- [Message](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/message.md): A single message in a prompt template.
- [OutputField](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/output-field.md): Schema for a single output field in the evaluation response.
- [OutputFieldTransform](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/output-field-transform.md): Defines how to transform an LLM output field into a final output field.
- [RAGFaithfulness](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/rag-faithfulness.md): Evaluator to assess if an LLM response is faithful to the provided context.
- [RegexMatch](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/regex-match.md): Regex match attempts to match the regex pattern only at the beginning
- [RegexSearch](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/regex-search.md): Regex search scans the entire string from beginning to end, looking for the
- [Sentiment](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/sentiment.md): Evaluator to assess text sentiment using Fiddler's sentiment analysis model.
- [TopicClassification](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators/topic-classification.md): Evaluator to classify text topics using Fiddler's zero-shot topic classification model.


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