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
Metadata
Release files for agi-med-metrics 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| agi_med_metrics-0.0.7.tar.gz | 2.4 kB | Without provenance | Details for agi_med_metrics-0.0.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| agi_med_metrics-0.0.7-py3-none-any.whl | Python 3 | none | any | Details for agi_med_metrics-0.0.7-py3-none-any.whl |
Total release size: 5.5 kB
Release files / agi_med_metrics-0.0.7.tar.gz
| Download URL | agi_med_metrics-0.0.7.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/5.0.0 CPython/3.10.15
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Release files / agi_med_metrics-0.0.7-py3-none-any.whl
| Download URL | agi_med_metrics-0.0.7-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.15
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Security for agi-med-metrics 0.0.7
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