embedding_distance

Embedding Distance Metric.

Embedding distance evaluation chain.

Use embedding distances to score semantic difference between a prediction and reference.

Use embedding distances to score semantic difference between two predictions.

Examples:

chain = PairwiseEmbeddingDistanceEvalChain() result = chain.evaluate_string_pairs(prediction="Hello", prediction_b="Hi") print(result) {'score': 0.5}

A chain for comparing the output of two models using embeddings.