Stalowa Bukmacherka
Stalowa Bukmacherka to biblioteka do przewidywania wyników różnych zdarzeń w meczach piłkarskich, używająca różnych modeli regresji i klasyfikacji.
Instalacja
Aby zainstalować bibliotekę, użyj:
pip install stalowa_bukmacherka
import stalowa_bukmacherka as sb
# Przygotowanie danych treningowych
X_train = ...
y_train = ...
# Trening modeli
models = sb.train_models(X_train, y_train)
# Przewidywanie wynikĂłw
X_test = ...
predictions = sb.predict_with_models(models, X_test)
# Wyświetlanie wyników
sb.plot_results(predictions, team1_lambda, team2_lambda, team1_avg_conceded, team2_avg_conceded)
Release files for bukmacherska-crystal 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bukmacherska_crystal-0.1.0.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bukmacherska_crystal-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.8 kB
Release files / bukmacherska_crystal-0.1.0.tar.gz
| Download URL | bukmacherska_crystal-0.1.0.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1d25b654a3f0b8becce2372ea8aaab6b9b223f118ae0a1b4dc5c3d4df5e42e01
|
|
BLAKE2b-256 checksum How to use checksums |
439c0fa8f8d51cc5cc2ef76785d7e659a6804110466438b8d69b84a4407b910c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.11.9
|
Release files / bukmacherska_crystal-0.1.0-py3-none-any.whl
| Download URL | bukmacherska_crystal-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7e1721d75052ba94584d2a6bf9700c7db134cac59aef27780d6f1968a5ec424a
|
|
BLAKE2b-256 checksum How to use checksums |
215c4a2ae18b72f8ff79b0992a20bfa528ed6a842d094ceebf0f5de9d7300f05
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.11.9
|