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underdog-lab / src /underdog_lab /forecasting

30.7 kB

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5 contributors

History: 9 commits

Moftah

Make most-likely-score consistent with win/draw/loss probabilities

5c7c6a1 20 days ago

__init__.py

45 Bytes
Build Underdog Lab forecasting hackathon app 22 days ago
calibration.py

2.33 kB
Remove scalar tuning runtime dependency 21 days ago
dixon_coles.py

4.21 kB
Make most-likely-score consistent with win/draw/loss probabilities 20 days ago
draw_adjustment.py

1.36 kB
Finalize forecast integrity and evaluation gates 20 days ago
elo_goals.py

1.31 kB
Build Underdog Lab forecasting hackathon app 22 days ago
ensemble.py

1.85 kB
Calibrate forecasts and add market blend gate 21 days ago
market.py

4.61 kB
Remove scalar tuning runtime dependency 21 days ago
market_data.py

2.07 kB
Calibrate forecasts and add market blend gate 21 days ago
optimization.py

1.23 kB
Remove scalar tuning runtime dependency 21 days ago
poisson.py

1.67 kB
Make most-likely-score consistent with win/draw/loss probabilities 20 days ago
scoring.py

1.57 kB
Fit and validate World Cup forecast model 21 days ago
self_elo.py

2.32 kB
Tune recency and add ensemble evaluation 21 days ago
tournament_editions.py

3.11 kB
Finalize forecast integrity and evaluation gates 20 days ago
vector_calibration.py

2.97 kB
Finalize forecast tracking and result automation 20 days ago