Method update

uncommon_route/learning/weights.py:18–33

(
        self,
        predictions: list[int | None],
        abstained: list[bool],
        actual_tier: int,
    )

        return list(self._weights)

    def update(
        self,
        predictions: list[int | None],
        abstained: list[bool],
        actual_tier: int,
    ) -> None:
        lr = max(0.01, 0.1 / (1 + self._update_count * 0.001))
        self._update_count += 1
        for i in range(len(self._weights)):
            if abstained[i]:
                continue
            if predictions[i] == actual_tier:
                self._weights[i] *= (1 + lr)
            else:
                self._weights[i] *= (1 - lr)
        self._normalize()

    def _normalize(self) -> None:
        total = sum(self._weights)