File size: 632 Bytes
73cc8d2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | from __future__ import annotations
from typing import List
import numpy as np
from mteb.evaluation.evaluators import ClusteringEvaluator
class TestClusteringEvaluator:
def test_clustering_v_measure(self):
class Model:
def encode(self, sentences: List[str], batch_size=32) -> np.ndarray:
return np.eye(len(sentences))
model = Model()
sentences = ["dog walked home", "cat walked home", "robot walked to the park"]
clusterer = ClusteringEvaluator(sentences=sentences, labels=[1, 2, 3])
result = clusterer(model)
assert result == {"v_measure": 1.0}
|