com.emphysic.myriad.core.ml

Class MonteCarloCV

java.lang.Object

com.emphysic.myriad.core.ml.CrossValidation

com.emphysic.myriad.core.ml.MonteCarloCV

public class MonteCarloCV
extends CrossValidation

MonteCarloCV - Monte Carlo cross-validation

Nested Class Summary

Nested classes/interfaces inherited from class com.emphysic.myriad.core.ml.CrossValidation

CrossValidation.Data, CrossValidation.TrainTestSubsets

Field Summary

Fields inherited from class com.emphysic.myriad.core.ml.CrossValidation

random, X, y

Constructor Summary

Constructors

Constructor and Description
MonteCarloCV(CrossValidation.Data data)
MonteCarloCV(CrossValidation.Data data, double ratio)
MonteCarloCV(double[][] samples, int[] labels)
MonteCarloCV(double[][] samples, int[] labels, double ratio) Create a new Monte Carlo cross validator.

Method Summary

Modifier and Type	Method and Description
double	getRatio()
CrossValidation.TrainTestSubsets	getTrainTestSubset() Partition the input data into a training and a test set

Methods inherited from class com.emphysic.myriad.core.ml.CrossValidation

balanceUp, balanceUp, balanceUp, eval, eval, evalModels, evalModels, findBestModel, findBestModel, findMajorityLabel, findMajorityLabel, findMinorityLabel, findMinorityLabel, labelFrequencies

Methods inherited from class java.lang.Object

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

Constructor Detail

MonteCarloCV

public MonteCarloCV(double[][] samples,
                    int[] labels,
                    double ratio)

Create a new Monte Carlo cross validator.

Parameters:

samples - N samples of M features

labels - N labels

ratio - fraction of the N samples to use for training. Remainder used for testing.

Throws:

java.lang.IllegalArgumentException - if ratio < 0 or ratio > 1

MonteCarloCV

public MonteCarloCV(double[][] samples,
                    int[] labels)

MonteCarloCV

public MonteCarloCV(CrossValidation.Data data,
                    double ratio)

MonteCarloCV

public MonteCarloCV(CrossValidation.Data data)

Method Detail

getTrainTestSubset

public CrossValidation.TrainTestSubsets getTrainTestSubset()

Description copied from class: CrossValidation

Partition the input data into a training and a test set

Specified by:

getTrainTestSubset in class CrossValidation

Returns:

input data partitioned into a training and a test set

getRatio

public double getRatio()