Utils for agi-med team metric calculation
Project description
agi-med-metrics
Стандартизация компонент общей библиотеки отдела для расчета метрик качества моделей
Ответственный разработчик
@bakulin
Метрики
ML:
- false positive rate
- false negative rate
NLP:
- BLEU
- ROUGE1, ROUGE2, ROUGEL
- cosine similarity
CV:
- mean character error rate
Тесты
sudo docker-compose -f docker-compose.yaml up --build
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
agi_med_metrics-0.0.6.tar.gz
(2.4 kB
view hashes)
Built Distribution
Close
Hashes for agi_med_metrics-0.0.6-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9135b603ec383533064382d75d21064b043ca7a43c2ee770f9b535002f68ca54 |
|
| MD5 | 2fc7ed83a3d2dab2656aeaa65c3a42cc |
|
| BLAKE2b-256 | bd072b29ccdc5d27c8d247c9cfbef578a2c6400679b55aedcb153195c8b3fe02 |
