semvec/pypi-packages huggingface dataset:
topical-matcher 0.0.1
UDC/IAB document classification toolkit (coming soon)
Requires Python: >=3.10
Keywords: classification, udc, iab, taxonomy, nlp

# topical-matcher

UDC/IAB document classification toolkit.

## Status

**Coming soon** - Package is under development.

## Planned Features

- Document classification using UDC 3-level hierarchy
- Multiple classifier strategies
- Profile-to-document matching
- Sparse vector output

## License

**Dual License:**
- **Non-commercial use**: Apache License 2.0
- **Commercial use**: Requires separate commercial license

See [LICENSE](LICENSE) for details.

## Contact

For early access or commercial licensing, contact the maintainers.
foydalidasturlar 1.0.0
Turli xil tasodifiy ma'lumotlar generatori
Requires Python: >=3.6
Keywords: generator, fake data, random, uzbekistan, test data

# Foydalidasturlar

Turli xil tasodifiy ma'lumotlar generatori - test va rivojlantirish uchun.

## O'rnatish
```bash
pip install foydalidasturlar
```

## Foydalanish
```python
from foydalidasturlar import *

# Parol yaratish
parol = parol_yaratish(uzunlik=16)
print(parol)

# Email yaratish
email = email_yaratish()
print(email)

# Telefon raqam
telefon = telefon_yaratish(davlat='uzbekistan')
print(telefon)

# Visa karta
karta = visa_yaratish()
print(karta)

# Manzil
manzil = manzil_yaratish()
print(manzil)

# Ism
shaxs = ism_yaratish(jins='erkak')
print(shaxs['to\'liq_ism'])
```

## Xususiyatlari

- Parol generatori
- Email generatori
- Telefon raqam (ko'p davlatlar uchun)
- Visa/Mastercard karta
- Manzil
- Ism, familiya, otasining ismi
- Username
- Tasodifiy son va sana