MultiDataset

class lib.training.data.data_set.MultiDataset(datasets: tuple[_BaseSet, ...], is_random: bool = True)

Bases: Dataset

Handles processing data for models with multiple inputs. The length is set as the largest dataset. Shuffling all datasets is handled internally at the end of each

Parameters:

  • datasets (tuple[_BaseSet, ...]) – The input specific datasets for feeding the model

  • is_random (bool) – True if data from each of the datasets should be read randomly. False if all datasets should return the item for the given index

Methods Summary

shuffle()

Shuffle all of the contained dataset's data

Methods Documentation

shuffle() → None

Shuffle all of the contained dataset’s data

Return type:

None

shuffle() → None

Shuffle all of the contained dataset’s data

Return type:

None