public interface DataSet extends Iterable<DataSet>, Serializable
forEach, spliterator
INDArray getFeatures()
void setFeatures(INDArray features)
DataSet copy()
DataSet reshape(int rows, int cols)
void multiplyBy(double num)
void divideBy(int num)
void shuffle()
void squishToRange(double min, double max)
void scaleMinAndMax(double min, double max)
void scale()
void addFeatureVector(INDArray toAdd)
void addFeatureVector(INDArray feature, int example)
void normalize()
void binarize()
void binarize(double cutoff)
void normalizeZeroMeanZeroUnitVariance()
int numInputs()
void validate()
int outcome()
void setNewNumberOfLabels(int labels)
void setOutcome(int example, int label)
DataSet get(int i)
DataSet get(int[] i)
DataSet filterBy(int[] labels)
void filterAndStrip(int[] labels)
SplitTestAndTrain splitTestAndTrain(int numHoldout)
INDArray getLabels()
void setLabels(INDArray labels)
INDArray getFeatureMatrix()
void sortByLabel()
void addRow(DataSet d, int i)
INDArray exampleSums()
INDArray exampleMaxs()
INDArray exampleMeans()
DataSet sample(int numSamples)
DataSet sample(int numSamples, boolean withReplacement)
void roundToTheNearest(int roundTo)
int numOutcomes()
int numExamples()
Copyright © 2015. All Rights Reserved.