edu.uci.jforests.sample

Class Sample

java.lang.Object

edu.uci.jforests.sample.Sample

Direct Known Subclasses:

RankingSample

public class Sample
extends java.lang.Object

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Sample.BinFreq

Field Summary

Fields

Modifier and Type	Field and Description
Dataset	dataset
int[]	indicesInDataset
int[]	indicesInParentSample
int	size
double[]	targets
double[]	weights

Constructor Summary

Constructors

Constructor and Description
Sample(Dataset dataset)
Sample(Dataset dataset, int[] indicesInDataset, double[] weights, double[] targets, int[] indicesInParentSample, int size)

Method Summary

Modifier and Type	Method and Description
double	evaluate(double[] predictions, EvaluationMetric evaluationMetric)
double	evaluate(double[] predictions, EvaluationMetric evaluationMetric, double factor)
Sample	getClone()
Sample	getOutOfSample(Sample subSample) Creates a sample from instances that are in this sample and not in subSample
Sample	getRandomSubSample(double rate, java.util.Random rnd)
Sample	getRandomTargetBiasedSubSample(double rate, java.util.Random rnd) Returns a random subsample that is biased with respect to targets.
boolean	isEmpty()

Methods inherited from class java.lang.Object

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

Field Detail

dataset

public Dataset dataset

indicesInDataset

public int[] indicesInDataset

weights

public double[] weights

targets

public double[] targets

size

public int size

indicesInParentSample

public int[] indicesInParentSample

Constructor Detail

Sample

public Sample(Dataset dataset)

Sample

public Sample(Dataset dataset,
              int[] indicesInDataset,
              double[] weights,
              double[] targets,
              int[] indicesInParentSample,
              int size)

Method Detail

getClone

public Sample getClone()

getRandomSubSample

public Sample getRandomSubSample(double rate,
                                 java.util.Random rnd)

getRandomTargetBiasedSubSample

public Sample getRandomTargetBiasedSubSample(double rate,
                                             java.util.Random rnd)

Returns a random subsample that is biased with respect to targets. In other words it tries to include items with more diverse targets

evaluate

public double evaluate(double[] predictions,
                       EvaluationMetric evaluationMetric)
                throws java.lang.Exception

Throws:

java.lang.Exception

evaluate

public double evaluate(double[] predictions,
                       EvaluationMetric evaluationMetric,
                       double factor)
                throws java.lang.Exception

Throws:

java.lang.Exception

isEmpty

public boolean isEmpty()

getOutOfSample

public Sample getOutOfSample(Sample subSample)

Creates a sample from instances that are in this sample and not in subSample