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from typing import List, Optional
from gluonts.dataset.common import Dataset
from gluonts.model.forecast import Forecast
class AbstractPredictor:
def __init__(
self,
prediction_length: int,
freq: str,
seasonality: int,
quantile_levels: Optional[List[float]] = None,
):
self.prediction_length = prediction_length
self.freq = freq
self.seasonality = seasonality
self.quantile_levels = quantile_levels or [
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
]
self._runtime = None
def fit_predict(
self,
dataset: Dataset
) -> List[Forecast]:
raise NotImplementedError
def save_runtime(self, time: float) -> None:
self._runtime = time
def get_runtime(self) -> float:
return self._runtime
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