Contents:

dynamic_dataset_handler#

Module Contents#

`SequentialDataset`
`DynamicDatasetHandler`

class SequentialDataset(bow, times, time_wordfreq)#

Bases: torch.utils.data.Dataset

__len__()#

__getitem__(index)#

class DynamicDatasetHandler(dataset_dir, batch_size=200, read_labels=False, device='cpu', as_tensor=False)#

load_data(path, read_labels)#

get_time_wordfreq(bow, times)#