EvaluatorType Class — langchain Architecture
Architecture documentation for the EvaluatorType class in schema.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 5293af94_1900_9da5_6904_4eb079fa44b8["EvaluatorType"] b8a2957b_df2e_04bc_f892_0752a91e1a55["schema.py"] 5293af94_1900_9da5_6904_4eb079fa44b8 -->|defined in| b8a2957b_df2e_04bc_f892_0752a91e1a55
Relationship Graph
Source Code
libs/langchain/langchain_classic/evaluation/schema.py lines 21–72
class EvaluatorType(str, Enum):
"""The types of the evaluators."""
QA = "qa"
"""Question answering evaluator, which grades answers to questions
directly using an LLM."""
COT_QA = "cot_qa"
"""Chain of thought question answering evaluator, which grades
answers to questions using
chain of thought 'reasoning'."""
CONTEXT_QA = "context_qa"
"""Question answering evaluator that incorporates 'context' in the response."""
PAIRWISE_STRING = "pairwise_string"
"""The pairwise string evaluator, which predicts the preferred prediction from
between two models."""
SCORE_STRING = "score_string"
"""The scored string evaluator, which gives a score between 1 and 10
to a prediction."""
LABELED_PAIRWISE_STRING = "labeled_pairwise_string"
"""The labeled pairwise string evaluator, which predicts the preferred prediction
from between two models based on a ground truth reference label."""
LABELED_SCORE_STRING = "labeled_score_string"
"""The labeled scored string evaluator, which gives a score between 1 and 10
to a prediction based on a ground truth reference label."""
AGENT_TRAJECTORY = "trajectory"
"""The agent trajectory evaluator, which grades the agent's intermediate steps."""
CRITERIA = "criteria"
"""The criteria evaluator, which evaluates a model based on a
custom set of criteria without any reference labels."""
LABELED_CRITERIA = "labeled_criteria"
"""The labeled criteria evaluator, which evaluates a model based on a
custom set of criteria, with a reference label."""
STRING_DISTANCE = "string_distance"
"""Compare predictions to a reference answer using string edit distances."""
EXACT_MATCH = "exact_match"
"""Compare predictions to a reference answer using exact matching."""
REGEX_MATCH = "regex_match"
"""Compare predictions to a reference answer using regular expressions."""
PAIRWISE_STRING_DISTANCE = "pairwise_string_distance"
"""Compare predictions based on string edit distances."""
EMBEDDING_DISTANCE = "embedding_distance"
"""Compare a prediction to a reference label using embedding distance."""
PAIRWISE_EMBEDDING_DISTANCE = "pairwise_embedding_distance"
"""Compare two predictions using embedding distance."""
JSON_VALIDITY = "json_validity"
"""Check if a prediction is valid JSON."""
JSON_EQUALITY = "json_equality"
"""Check if a prediction is equal to a reference JSON."""
JSON_EDIT_DISTANCE = "json_edit_distance"
"""Compute the edit distance between two JSON strings after canonicalization."""
JSON_SCHEMA_VALIDATION = "json_schema_validation"
"""Check if a prediction is valid JSON according to a JSON schema."""
Source
Frequently Asked Questions
What is the EvaluatorType class?
EvaluatorType is a class in the langchain codebase, defined in libs/langchain/langchain_classic/evaluation/schema.py.
Where is EvaluatorType defined?
EvaluatorType is defined in libs/langchain/langchain_classic/evaluation/schema.py at line 21.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free