torch_timeseries.dataloader.UEAClassification

class UEAClassification(dataset: UEA, scaler: Scaler, window: int = 168, shuffle_train=True, batch_size: int = 32, num_worker: int = 3)[source]

Bases: object

Class for handling the classification of UEA datasets.

batch_size

Number of samples per batch.

Type:: int

num_worker

Number of worker threads for data loading.

Type:: int

dataset

UEA dataset to be used.

Type:: UEA

scaler

Scaler to normalize the data.

Type:: Scaler

window

Window size for the time series data. If not enough data, zeros will be used for padding.

Type:: int

shuffle_train

Whether to shuffle the training data.

Type:: bool