de.uni_stuttgart.isa.liquidsvm

Class SVM.EX

java.lang.Object

de.uni_stuttgart.isa.liquidsvm.SVM

de.uni_stuttgart.isa.liquidsvm.SVM.EX

All Implemented Interfaces:

java.io.Serializable

Enclosing class:

SVM

public static class SVM.EX
extends SVM

Expectile regression learning scenario. The weights specify which expectiles should be estimated. The result of a test will have for every test sample a vector giving the estimated expectiles at that point.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class de.uni_stuttgart.isa.liquidsvm.SVM

SVM.EX, SVM.LS, SVM.MC, SVM.NPL, SVM.QT, SVM.ROC

Field Summary

Fields

Modifier and Type	Field and Description
static double[]	DEFAULT_WEIGHTS

Fields inherited from class de.uni_stuttgart.isa.liquidsvm.SVM

ENABLE_LOAD_WITHOUT_LIBRARY, MAX_CPU

Constructor Summary

Constructors

Constructor and Description
EX(double[][] data, double[] labels)
EX(double[][] data, double[] labels, double[] weights)
EX(double[][] data, double[] labels, double[] weights, Config config)
EX(LiquidData.Data data)
EX(LiquidData.Data data, double[] weights)
EX(LiquidData.Data data, double[] weights, Config config)
EX(LiquidData data)
EX(LiquidData data, double[] weights)
EX(LiquidData data, double[] weights, Config config)

Method Summary

Modifier and Type	Method and Description
double[][]	select(java.lang.String... argv) Selects the best hyperparameter pair according to validation error.

Methods inherited from class de.uni_stuttgart.isa.liquidsvm.SVM

calculateDataCover, clean, finalize, getConfig, getCover, getLastResult, getSelectErrs, getSolutionCoeffs, getSolutionSVs, getTrainErrs, isSelected, isTrained, predict, readSVM, setConfig, setConfig, setConfig, setConfig, setConfigAll, test, test, train

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_WEIGHTS

public static final double[] DEFAULT_WEIGHTS

Constructor Detail

EX

public EX(LiquidData data)

EX

public EX(LiquidData data,
          double[] weights)

EX

public EX(LiquidData data,
          double[] weights,
          Config config)

EX

public EX(LiquidData.Data data)

EX

public EX(LiquidData.Data data,
          double[] weights)

EX

public EX(LiquidData.Data data,
          double[] weights,
          Config config)

EX

public EX(double[][] data,
          double[] labels)

EX

public EX(double[][] data,
          double[] labels,
          double[] weights)

EX

public EX(double[][] data,
          double[] labels,
          double[] weights,
          Config config)

Method Detail

select

public double[][] select(java.lang.String... argv)

Description copied from class: SVM

Selects the best hyperparameter pair according to validation error. argv can be used by experts in the same way as in the svm-select command line program of liquidSVM interface. Most users should rather use Config.

Overrides:

select in class SVM

Parameters:

argv - further command line arguments (for experts)

Returns:

the select errors which can also be retrieved afterwards from SVM.getSelectErrs()