Method __init__

codeclash/analysis/metrics/elo.py:314–332

Fit Bradley-Terry model to a win matrix Args: win_matrix: Dictionary mapping player pairs to win counts regularization: L2 regularization strength compute_uncertainties: Whether to compute uncertainties

(
        self,
        win_matrix: dict[tuple[str, str], list[float]],
        *,
        regularization: float = 0.01,
        compute_uncertainties: bool = True,
    )

        return boot_matrix

    def print_matrix(self) -> None:
        for game, matchups in sorted(self.win_matrix.items()):
            print(f"\n{game}:")
            for (p1, p2), (w1, w2) in sorted(matchups.items()):
                if game == "ALL":
                    print(f"  {p1} vs {p2}: {w1:.3f}-{w2:.3f}")
                else:
                    print(f"  {p1} vs {p2}: {w1:.0f}-{w2:.0f}")


class BradleyTerryFitter:
    def __init__(
        self,
        win_matrix: dict[tuple[str, str], list[float]],
        *,
        regularization: float = 0.01,
        compute_uncertainties: bool = True,
    ):
        """Fit Bradley-Terry model to a win matrix

        Args:
            win_matrix: Dictionary mapping player pairs to win counts