Package ai.libs.jaicore.ml.weka.dataset.splitter

Class MulticlassClassStratifiedSplitter

java.lang.Object

ai.libs.jaicore.ml.weka.dataset.splitter.MulticlassClassStratifiedSplitter

All Implemented Interfaces:

IDatasetSplitter

public class MulticlassClassStratifiedSplitter
extends java.lang.Object
implements IDatasetSplitter

Makes use of the WekaUtil to split the data into a class-oriented stratified split preserving the class distribution.

Constructor Summary

Constructors

Constructor	Description
MulticlassClassStratifiedSplitter()

Method Summary

Modifier and Type	Method	Description
java.util.List<weka.core.Instances>	split(weka.core.Instances data, long seed, double portions)

Methods inherited from class java.lang.Object

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

Constructor Detail

MulticlassClassStratifiedSplitter

public MulticlassClassStratifiedSplitter()

Method Detail

split

public java.util.List<weka.core.Instances> split(weka.core.Instances data,
                                                 long seed,
                                                 double portions)
                                          throws SplitFailedException,
                                                 java.lang.InterruptedException

Specified by:

split in interface IDatasetSplitter

Throws:

SplitFailedException

java.lang.InterruptedException