feature: e2e intro pipline surge pricing

2026-06-01 00:53:36 +00:00 · 2025-12-06 16:30:28 +01:00
parent 503c5e182d
commit e6a5b95875
6 changed files with 41 additions and 110 deletions
--- a/experiments/procesing/pricers/base.py
+++ b/experiments/procesing/pricers/base.py
@@ -25,7 +25,7 @@ class PricingFunction(ABC):
    """

    @abstractmethod
-    def fit(self, historical_data: pd.DataFrame, **kwargs):
+    def fit(self, *kwargs):
        """
        Offline training on historical data.

@@ -36,7 +36,7 @@ class PricingFunction(ABC):
        pass

    @abstractmethod
-    def predict(self, state_space) -> np.ndarray:
+    def predict(self, *kwargs) -> np.ndarray:
        """
        Generate optimal prices given current state.