Metadata-Version: 2.2
Name: combined_bukmacherska
Version: 0.2.0
Summary: Biblioteka łącząca funkcjonalności bukmacherska i bukmacherska_crystal
Home-page: https://github.com/twoj_repo/combined_bukmacherska
Author: Twoje Imię
Author-email: twojemail@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: lightgbm
Requires-Dist: kivy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# combined_bukmacherska

combined_bukmacherska to biblioteka Ĺ‚Ä…czÄ…ca funkcjonalnoĹ›ci bibliotek `bukmacherska` i `bukmacherska_crystal`. 

## Funkcje

- Funkcje gamma i beta
- Funkcje pomocnicze do obliczeĹ„
- Modele maszynowego uczenia
- Funkcje rysujÄ…ce wykresy

## Instalacja

Aby zainstalowaÄ‡ bibliotekÄ™, uĹĽyj poniĹĽszego polecenia:

```sh
pip install combined_bukmacherska


import combined_bukmacherska as cb

# PrzykĹ‚ad uĹĽycia funkcji poisson_probability
beta = 2
alpha = 3
probability = cb.poisson_probability(beta, alpha)
print(f"Poisson Probability: {probability}")

# Trening modeli
X_train = ...
y_train = ...
models = cb.train_models(X_train, y_train)

# Predykcje
X_test = ...
predictions = cb.predict_with_models(models, X_test)

# Rysowanie wykresĂłw
cb.plot_results(predictions, team1_lambda, team2_lambda, team1_avg_conceded, team2_avg_conceded)
