EmbeddingDistance#
- class langchain.evaluation.embedding_distance.base.EmbeddingDistance(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Embedding Distance Metric.
- COSINE#
Cosine distance metric.
- EUCLIDEAN#
Euclidean distance metric.
- MANHATTAN#
Manhattan distance metric.
- CHEBYSHEV#
Chebyshev distance metric.
- HAMMING#
Hamming distance metric.
- COSINE = 'cosine'#
- EUCLIDEAN = 'euclidean'#
- MANHATTAN = 'manhattan'#
- CHEBYSHEV = 'chebyshev'#
- HAMMING = 'hamming'#