Sampler (Deep Java Library 0.17.0 API specification)

All Known Implementing Classes:

BatchSampler
```
public interface Sampler
```
An interface for sampling data items from a RandomAccessDataset.
A Sampler implementation returns an iterator of batches for the RandomAccessDataset. Instead of returning the actual items, it returns the item indices. Different samplers can have different ways of sampling such as sampling with or without replacement.
Many of the samplers may also make use of Sampler.SubSamplers which sample not in batches but in individual data item indices.

Nested Class Summary

Nested Classes
Modifier and Type Interface Description

static interface Sampler.SubSampler
An interface that samples a single data item at a time.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`int`	`getBatchSize()`	Returns the batch size of the `Sampler`.
`java.util.Iterator<java.util.List<java.lang.Long>>`	`sample(RandomAccessDataset dataset)`	Fetches an iterator that iterates through the given `RandomAccessDataset` in mini-batches of indices.

- Method Detail
  - sample
```
java.util.Iterator<java.util.List<java.lang.Long>> sample(RandomAccessDataset dataset)
```
    Fetches an iterator that iterates through the given RandomAccessDataset in mini-batches of indices.
    
    Parameters:
    
    dataset - the RandomAccessDataset to sample from
    
    Returns:
    
    an iterator that iterates through the given RandomAccessDataset in mini-batches of indices
  - getBatchSize
```
int getBatchSize()
```
    Returns the batch size of the Sampler.
    
    Returns:
    
    the batch size of the Sampler, -1 if batch size is not fixed