NewBatchSampler creates a new BatchSampler.

NewKFold creates a new KFold struct.

NewMapDataset creates a new MapDataset.

NewRandomSampler creates a new RandomSampler.

NewSequentialSampler create a new SequentialSampler n : number of samples in dataset.

NewSliceDataset creates a new SliceDataset.

BatchSampler constructs a way to draw batches of samples.

DataLoader combines a dataset and a sampler and provides an iterable over the given dataset.

Fold represents a partitions with 2 fields: indexes of train set and test set.

KFold represents a struct helper to split data into partitions.

MapDataset holds samples in a map with string type keys.

RandomSampler represents a method to draw a sample randomly from dataset.

SequentialSampler represents a method to draw sample by its order in the dataset.

SliceDataset is a slice of samples.

Dataset represents a set of samples and how to access a sample by its index by implementing `Item()` method.

Sampler represents an interface to draw sample from a dataset by implementing `Sample` method to generate a slice of indices of data samples.