# Fiddler Evals SDK

- [Introduction](https://docs.fiddler.ai/api/fiddler-evals-sdk/evals.md): Complete API reference for fiddler-evals
- [Connection](https://docs.fiddler.ai/api/fiddler-evals-sdk/connection.md)
- [Connection](https://docs.fiddler.ai/api/fiddler-evals-sdk/connection/connection.md): Manages authenticated connections to the Fiddler platform.
- [init](https://docs.fiddler.ai/api/fiddler-evals-sdk/connection/init.md): Initialize the Fiddler client with connection parameters and global configuration.
- [Entities](https://docs.fiddler.ai/api/fiddler-evals-sdk/entities.md)
- [Application](https://docs.fiddler.ai/api/fiddler-evals-sdk/entities/application.md): Represents a GenAI Application container for organizing GenAI application resources.
- [Dataset](https://docs.fiddler.ai/api/fiddler-evals-sdk/entities/dataset.md): Represents a Dataset container for organizing evaluation test cases.
- [Experiment](https://docs.fiddler.ai/api/fiddler-evals-sdk/entities/experiment.md): Represents an Experiment for tracking evaluation runs and results.
- [ExperimentItemStatus](https://docs.fiddler.ai/api/fiddler-evals-sdk/entities/experiment-item-status.md): ExperimentItemStatus
- [ExperimentStatus](https://docs.fiddler.ai/api/fiddler-evals-sdk/entities/experiment-status.md): ExperimentStatus
- [Project](https://docs.fiddler.ai/api/fiddler-evals-sdk/entities/project.md): Represents a project container for organizing GenAI Apps and resources.
- [Evaluators](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluators.md)
- [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.
- [Pydantic Models](https://docs.fiddler.ai/api/fiddler-evals-sdk/pydantic-models.md)
- [DatasetItem](https://docs.fiddler.ai/api/fiddler-evals-sdk/pydantic-models/dataset-item.md): Dataset item from Fiddler API
- [NewDatasetItem](https://docs.fiddler.ai/api/fiddler-evals-sdk/pydantic-models/new-dataset-item.md): Model to create a new dataset
- [Score](https://docs.fiddler.ai/api/fiddler-evals-sdk/pydantic-models/score.md): A single output of an evaluator.
- [ScoreStatus](https://docs.fiddler.ai/api/fiddler-evals-sdk/pydantic-models/score-status.md): The status of a score.
- [evaluate](https://docs.fiddler.ai/api/fiddler-evals-sdk/evaluate.md): Evaluate a dataset using a task function and a list of evaluators.


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