Package de.jungblut.reader

Class IrisReader

java.lang.Object

de.jungblut.reader.IrisReader

public final class IrisReader
extends java.lang.Object

Dataset vectorizer for the iris dataset. Following outcome indices are used: Iris-setosa = 0, Iris-versicolor = 1, Iris-virginica = 2.

Method Summary

Modifier and Type	Method	Description
static EvaluationSplit	getEvaluationSplit(Dataset irisData)
static Dataset	readIrisDataset(java.lang.String path)

Methods inherited from class java.lang.Object

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

Method Detail

readIrisDataset

public static Dataset readIrisDataset(java.lang.String path)

Returns:

a tuple, on first dimension are the features, on the second are the outcomes (0 or 1 in the first element of a vector)

getEvaluationSplit

public static EvaluationSplit getEvaluationSplit(Dataset irisData)

Returns:

a split that has 40 train examples for every class and 10 test items.