DataSet (nd4j-api 0.0.3.1 API)

All Superinterfaces:

Iterable<DataSet>, Serializable

All Known Implementing Classes:

DataSet
```
public interface DataSet
extends Iterable<DataSet>, Serializable
```
Created by agibsonccc on 8/26/14.

Method Summary

Methods
Modifier and Type	Method and Description
`void`	`addFeatureVector(INDArray toAdd)`
`void`	`addFeatureVector(INDArray feature, int example)`
`void`	`addRow(DataSet d, int i)`
`List<DataSet>`	`asList()`
`List<List<DataSet>>`	`batchBy(int num)`
`List<List<DataSet>>`	`batchByNumLabels()`
`void`	`binarize()`
`void`	`binarize(double cutoff)`
`DataSet`	`copy()`
`List<DataSet>`	`dataSetBatches(int num)`
`void`	`divideBy(int num)`
`INDArray`	`exampleMaxs()`
`INDArray`	`exampleMeans()`
`INDArray`	`exampleSums()`
`void`	`filterAndStrip(int[] labels)`
`DataSet`	`filterBy(int[] labels)`
`DataSet`	`get(int i)`
`DataSet`	`get(int[] i)`
`List<String>`	`getColumnNames()`
`INDArray`	`getFeatureMatrix()`
`INDArray`	`getFeatures()`
`List<String>`	`getLabelNames()`
`INDArray`	`getLabels()`
`Iterator<DataSet>`	`iterator()`
`void`	`multiplyBy(double num)`
`void`	`normalize()`
`void`	`normalizeZeroMeanZeroUnitVariance()`
`int`	`numExamples()`
`int`	`numInputs()`
`int`	`numOutcomes()`
`int`	`outcome()`
`DataSet`	`reshape(int rows, int cols)`
`void`	`roundToTheNearest(int roundTo)`
`DataSet`	`sample(int numSamples)`
`DataSet`	`sample(int numSamples, boolean withReplacement)`
`DataSet`	`sample(int numSamples, org.apache.commons.math3.random.RandomGenerator rng)`
`DataSet`	`sample(int numSamples, org.apache.commons.math3.random.RandomGenerator rng, boolean withReplacement)`
`void`	`scale()`
`void`	`setColumnNames(List<String> columnNames)`
`void`	`setFeatures(INDArray features)`
`void`	`setLabelNames(List<String> labelNames)`
`void`	`setLabels(INDArray labels)`
`void`	`setNewNumberOfLabels(int labels)`
`void`	`setOutcome(int example, int label)`
`void`	`shuffle()`
`List<List<DataSet>>`	`sortAndBatchByNumLabels()`
`void`	`sortByLabel()`
`SplitTestAndTrain`	`splitTestAndTrain(int numHoldout)`
`void`	`squishToRange(double min, double max)`
`void`	`validate()`

Method Detail

getFeatures
```
INDArray getFeatures()
```

setFeatures
```
void setFeatures(INDArray features)
```

setLabels
```
void setLabels(INDArray labels)
```

copy
```
DataSet copy()
```

reshape

DataSet reshape(int rows,
              int cols)

multiplyBy
```
void multiplyBy(double num)
```

divideBy
```
void divideBy(int num)
```

shuffle
```
void shuffle()
```

squishToRange

void squishToRange(double min,
                 double max)

scale
```
void scale()
```

addFeatureVector
```
void addFeatureVector(INDArray toAdd)
```

addFeatureVector

void addFeatureVector(INDArray feature,
                    int example)

normalize
```
void normalize()
```

binarize
```
void binarize()
```

binarize
```
void binarize(double cutoff)
```

normalizeZeroMeanZeroUnitVariance

void normalizeZeroMeanZeroUnitVariance()

numInputs
```
int numInputs()
```

validate
```
void validate()
```

outcome
```
int outcome()
```

setNewNumberOfLabels
```
void setNewNumberOfLabels(int labels)
```

setOutcome

void setOutcome(int example,
              int label)

get
```
DataSet get(int i)
```

get
```
DataSet get(int[] i)
```

batchBy
```
List<List<DataSet>> batchBy(int num)
```

filterBy
```
DataSet filterBy(int[] labels)
```

filterAndStrip
```
void filterAndStrip(int[] labels)
```

dataSetBatches
```
List<DataSet> dataSetBatches(int num)
```

sortAndBatchByNumLabels

List<List<DataSet>> sortAndBatchByNumLabels()

batchByNumLabels
```
List<List<DataSet>> batchByNumLabels()
```

asList
```
List<DataSet> asList()
```

splitTestAndTrain

SplitTestAndTrain splitTestAndTrain(int numHoldout)

getLabels
```
INDArray getLabels()
```

getFeatureMatrix
```
INDArray getFeatureMatrix()
```

sortByLabel
```
void sortByLabel()
```

addRow

void addRow(DataSet d,
          int i)

exampleSums
```
INDArray exampleSums()
```

exampleMaxs
```
INDArray exampleMaxs()
```

exampleMeans
```
INDArray exampleMeans()
```

sample
```
DataSet sample(int numSamples)
```

sample

DataSet sample(int numSamples,
             org.apache.commons.math3.random.RandomGenerator rng)

sample

DataSet sample(int numSamples,
             boolean withReplacement)

sample

DataSet sample(int numSamples,
             org.apache.commons.math3.random.RandomGenerator rng,
             boolean withReplacement)

roundToTheNearest
```
void roundToTheNearest(int roundTo)
```

numOutcomes
```
int numOutcomes()
```

numExamples
```
int numExamples()
```

getLabelNames
```
List<String> getLabelNames()
```

setLabelNames

void setLabelNames(List<String> labelNames)

getColumnNames
```
List<String> getColumnNames()
```

setColumnNames

void setColumnNames(List<String> columnNames)

iterator
```
Iterator<DataSet> iterator()
```
Specified by:

iterator in interface Iterable<DataSet>

Interface DataSet

Method Summary

Method Detail

getFeatures

setFeatures

setLabels

copy

reshape

multiplyBy

divideBy

shuffle

squishToRange

scale

addFeatureVector

addFeatureVector

normalize

binarize

binarize

normalizeZeroMeanZeroUnitVariance

numInputs

validate

outcome

setNewNumberOfLabels

setOutcome

get

get

batchBy

filterBy

filterAndStrip

dataSetBatches

sortAndBatchByNumLabels

batchByNumLabels

asList

splitTestAndTrain

getLabels

getFeatureMatrix

sortByLabel

addRow

exampleSums

exampleMaxs

exampleMeans

sample

sample

sample

sample

roundToTheNearest

numOutcomes

numExamples

getLabelNames

setLabelNames

getColumnNames

setColumnNames

iterator