How to compute Jaccard Error Rate

jer.py

# load UEM, references, and system output
from pyannote.database.util import load_rttm, load_uem
uems = load_uem('references.uem')
references = load_rttm('references.rttm')
hypotheses = load_rttm('hypotheses.rttm')

from pyannote.metrics.diarization import JaccardErrorRate
metric = JaccardErrorRate()

# compute (and print) JER for each file
for uri, hypothesis in hypotheses.items():
    reference = references[uri]
    uem = uems[uri]
    jer = metric(reference, hypothesis, uem=uem)
    print(f'{uri} {jer:.3f}')

# compute (and print) JER aggregated on all files
print(f'all {abs(metric)}')