SamplingDataSetIterator

java.lang.Object
- org.deeplearning4j.datasets.iterator.SamplingDataSetIterator

All Implemented Interfaces:

java.io.Serializable, java.util.Iterator<DataSet>, DataSetIterator
```
public class SamplingDataSetIterator
extends java.lang.Object
implements DataSetIterator
```
A wrapper for a dataset to sample from. This will randomly sample from the given dataset.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description

SamplingDataSetIterator(DataSet sampleFrom, int batchSize, int totalNumberSamples)

Constructors
Constructor and Description
`SamplingDataSetIterator(DataSet sampleFrom, int batchSize, int totalNumberSamples)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`asyncSupported()` Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.
`int`	`batch()` Batch size
`java.util.List<java.lang.String>`	`getLabels()` Get dataset iterator class labels, if any.
`boolean`	`hasNext()`
`int`	`inputColumns()` Input columns for the dataset
`DataSet`	`next()`
`DataSet`	`next(int num)` Like the standard next method but allows a customizable number of examples returned
`void`	`remove()`
`void`	`reset()` Resets the iterator back to the beginning
`boolean`	`resetSupported()` Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
`void`	`setPreProcessor(DataSetPreProcessor preProcessor)` Set a pre processor
`int`	`totalOutcomes()` The number of labels for the dataset

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

Methods inherited from interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
getPreProcessor

Methods inherited from interface java.util.Iterator
forEachRemaining

- Constructor Detail
  - SamplingDataSetIterator
```
public SamplingDataSetIterator(DataSet sampleFrom,
                               int batchSize,
                               int totalNumberSamples)
```
    Parameters:
    
    sampleFrom - the dataset to sample from
    
    batchSize - the batch size to sample
    
    totalNumberSamples - the sample size
- Method Detail
  - hasNext
```
public boolean hasNext()
```
    Specified by:
    
    hasNext in interface java.util.Iterator<DataSet>
  - next
```
public DataSet next()
```
    Specified by:
    
    next in interface java.util.Iterator<DataSet>
  - remove
```
public void remove()
```
    Specified by:
    
    remove in interface java.util.Iterator<DataSet>
  - inputColumns
```
public int inputColumns()
```
    Description copied from interface: DataSetIterator
    
    Input columns for the dataset
    
    Specified by:
    
    inputColumns in interface DataSetIterator
    
    Returns:
  - totalOutcomes
```
public int totalOutcomes()
```
    Description copied from interface: DataSetIterator
    
    The number of labels for the dataset
    
    Specified by:
    
    totalOutcomes in interface DataSetIterator
    
    Returns:
  - resetSupported
```
public boolean resetSupported()
```
    Description copied from interface: DataSetIterator
    
    Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
    
    Specified by:
    
    resetSupported in interface DataSetIterator
    
    Returns:
    
    true if reset method is supported; false otherwise
  - asyncSupported
```
public boolean asyncSupported()
```
    Description copied from interface: DataSetIterator
    
    Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching. For example, it would not make sense to use asynchronous prefetching for the following types of iterators: (a) Iterators that store their full contents in memory already (b) Iterators that re-use features/labels arrays (as future next() calls will overwrite past contents) (c) Iterators that already implement some level of asynchronous prefetching (d) Iterators that may return different data depending on when the next() method is called
    
    Specified by:
    
    asyncSupported in interface DataSetIterator
    
    Returns:
    
    true if asynchronous prefetching from this iterator is OK; false if asynchronous prefetching should not be used with this iterator
  - reset
```
public void reset()
```
    Description copied from interface: DataSetIterator
    
    Resets the iterator back to the beginning
    
    Specified by:
    
    reset in interface DataSetIterator
  - batch
```
public int batch()
```
    Description copied from interface: DataSetIterator
    
    Batch size
    
    Specified by:
    
    batch in interface DataSetIterator
    
    Returns:
  - setPreProcessor
```
public void setPreProcessor(DataSetPreProcessor preProcessor)
```
    Description copied from interface: DataSetIterator
    
    Set a pre processor
    
    Specified by:
    
    setPreProcessor in interface DataSetIterator
    
    Parameters:
    
    preProcessor - a pre processor to set
  - getLabels
```
public java.util.List<java.lang.String> getLabels()
```
    Description copied from interface: DataSetIterator
    
    Get dataset iterator class labels, if any. Note that implementations are not required to implement this, and can simply return null
    
    Specified by:
    
    getLabels in interface DataSetIterator
  - next
```
public DataSet next(int num)
```
    Description copied from interface: DataSetIterator
    
    Like the standard next method but allows a customizable number of examples returned
    
    Specified by:
    
    next in interface DataSetIterator
    
    Parameters:
    
    num - the number of examples
    
    Returns:
    
    the next data applyTransformToDestination

Class SamplingDataSetIterator

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Methods inherited from interface java.util.Iterator

Constructor Detail

SamplingDataSetIterator

Method Detail

hasNext

next

remove

inputColumns

totalOutcomes

resetSupported

asyncSupported

reset

batch

setPreProcessor

getLabels

next