Package deepnetts.data

Class TrainTestSplit

java.lang.Object

deepnetts.data.TrainTestSplit

public final class TrainTestSplit
extends Object

This class holds training and test data set pair. Splitting data into training and test set is common practice used in machine learning, in order to test how well the machine learning model will perform with data it has not seen during the training.

Constructor Summary

Constructors

Constructor	Description
TrainTestSplit(javax.visrec.ml.data.DataSet<MLDataItem> trainingSet, javax.visrec.ml.data.DataSet<MLDataItem> testSet)

Method Summary

Modifier and Type	Method	Description
javax.visrec.ml.data.DataSet<MLDataItem>	getTestSet()
javax.visrec.ml.data.DataSet<MLDataItem>	getTrainingSet()

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

TrainTestSplit

public TrainTestSplit(javax.visrec.ml.data.DataSet<MLDataItem> trainingSet,
 javax.visrec.ml.data.DataSet<MLDataItem> testSet)

Method Details

getTrainingSet

public javax.visrec.ml.data.DataSet<MLDataItem> getTrainingSet()

getTestSet

public javax.visrec.ml.data.DataSet<MLDataItem> getTestSet()