Source code for gluonts.transform.dataset

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from typing import List, Iterator

from gluonts.dataset.common import Dataset, DataEntry
from gluonts.transform import Chain, Transformation


[docs]class TransformedDataset(Dataset): """ A dataset that corresponds to applying a list of transformations to each element in the base_dataset. This only supports SimpleTransformations, which do the same thing at prediction and training time. Parameters ---------- base_dataset Dataset to transform transformations List of transformations to apply """ def __init__( self, base_dataset: Dataset, transformations: List[Transformation] ) -> None: self.base_dataset = base_dataset self.transformations = Chain(transformations) def __iter__(self) -> Iterator[DataEntry]: yield from self.transformations(self.base_dataset, is_train=True) def __len__(self): return sum(1 for _ in self)