"""ML prediction pipeline for HK weather.

Usage:
    from ml import MLPredictor
    predictor = MLPredictor()
    predictor.fetch_and_predict()
    signal = predictor.generate_signal("temp_gt_30c_24h", market_probability=45.0)
"""

from ml.predictor import MLPredictor
from ml.model import ModelEnsemble, WeatherModel, TARGET_DEFINITIONS
from ml.features import FeatureEngine

__all__ = [
    "MLPredictor",
    "ModelEnsemble",
    "WeatherModel",
    "FeatureEngine",
    "TARGET_DEFINITIONS",
]