RandomSampler (Deep Java Library 0.21.0 API specification)

java.lang.Object
- ai.djl.training.dataset.RandomSampler

All Implemented Interfaces:

Sampler.SubSampler
```
public class RandomSampler
extends java.lang.Object
implements Sampler.SubSampler
```
RandomSampler is an implementation of the Sampler.SubSampler interface.
RandomSampler samples the data from [0, dataset.size) randomly.

Constructor Summary

Constructors
Constructor Description

RandomSampler()
Creates a new instance of RandomSampler.

RandomSampler(int seed)
Creates a new instance of RandomSampler with the given seed.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`java.util.Iterator<java.lang.Long>`	`sample(RandomAccessDataset dataset)`	Fetches an iterator that iterates through the indices of the given `RandomAccessDataset`.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - RandomSampler
```
public RandomSampler()
```
    Creates a new instance of RandomSampler.
  - RandomSampler
```
public RandomSampler(int seed)
```
    Creates a new instance of RandomSampler with the given seed.
    
    Parameters:
    
    seed - the value of the seed
- Method Detail
  - sample
```
public java.util.Iterator<java.lang.Long> sample(RandomAccessDataset dataset)
```
    Fetches an iterator that iterates through the indices of the given RandomAccessDataset.
    
    Specified by:
    
    sample in interface Sampler.SubSampler
    
    Parameters:
    
    dataset - the RandomAccessDataset to sample from
    
    Returns:
    
    an iterator that iterates through the indices of the given RandomAccessDataset