mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
26 lines
791 B
Python
26 lines
791 B
Python
"""Math utils."""
|
|
from typing import List, Union
|
|
|
|
import numpy as np
|
|
|
|
Matrix = Union[List[List[float]], List[np.ndarray], np.ndarray]
|
|
|
|
|
|
def cosine_similarity(X: Matrix, Y: Matrix) -> np.ndarray:
|
|
"""Row-wise cosine similarity between two equal-width matrices."""
|
|
if len(X) == 0 or len(Y) == 0:
|
|
return np.array([])
|
|
X = np.array(X)
|
|
Y = np.array(Y)
|
|
if X.shape[1] != Y.shape[1]:
|
|
raise ValueError(
|
|
f"Number of columns in X and Y must be the same. X has shape {X.shape} "
|
|
f"and Y has shape {Y.shape}."
|
|
)
|
|
|
|
X_norm = np.linalg.norm(X, axis=1)
|
|
Y_norm = np.linalg.norm(Y, axis=1)
|
|
similarity = np.dot(X, Y.T) / np.outer(X_norm, Y_norm)
|
|
similarity[np.isnan(similarity) | np.isinf(similarity)] = 0.0
|
|
return similarity
|