org.tribuo.regression.rtree.impurity

Class MeanAbsoluteError

java.lang.Object

org.tribuo.regression.rtree.impurity.MeanAbsoluteError

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, RegressorImpurity

public class MeanAbsoluteError
extends Object
implements RegressorImpurity

Measures the mean absolute error over a set of inputs.

Used to calculate the impurity of a regression node.

Nested Class Summary

Nested classes/interfaces inherited from interface org.tribuo.regression.rtree.impurity.RegressorImpurity

RegressorImpurity.ImpurityTuple

Constructor Summary

Constructors

Constructor and Description
MeanAbsoluteError()

Method Summary

Modifier and Type	Method and Description
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance	getProvenance()
double	impurity(float[] targets, float[] weights) Calculates the impurity based on the supplied weights and targets.
RegressorImpurity.ImpurityTuple	impurityTuple(int[] indices, int indicesLength, float[] targets, float[] weights) Calculates the weighted impurity of the targets specified in the indices array.
RegressorImpurity.ImpurityTuple	impurityTuple(List<int[]> indices, float[] targets, float[] weights) Calculates the weighted impurity of the targets specified in all the indices arrays.
String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.tribuo.regression.rtree.impurity.RegressorImpurity

impurity, impurity, impurity, impurity

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable

postConfig

Constructor Detail

MeanAbsoluteError

public MeanAbsoluteError()

Method Detail

impurity

public double impurity(float[] targets,
                       float[] weights)

Description copied from interface: RegressorImpurity

Calculates the impurity based on the supplied weights and targets.

Specified by:

impurity in interface RegressorImpurity

Parameters:

targets - The targets.

weights - The weights.

Returns:

The impurity.

impurityTuple

public RegressorImpurity.ImpurityTuple impurityTuple(int[] indices,
                                                     int indicesLength,
                                                     float[] targets,
                                                     float[] weights)

Description copied from interface: RegressorImpurity

Calculates the weighted impurity of the targets specified in the indices array.

Specified by:

impurityTuple in interface RegressorImpurity

Parameters:

indices - The indices in the targets and weights arrays.

indicesLength - The number of values to use in indices.

targets - The regression targets.

weights - The example weights.

Returns:

A tuple containing the impurity and the used weight sum.

impurityTuple

public RegressorImpurity.ImpurityTuple impurityTuple(List<int[]> indices,
                                                     float[] targets,
                                                     float[] weights)

Description copied from interface: RegressorImpurity

Calculates the weighted impurity of the targets specified in all the indices arrays.

Specified by:

impurityTuple in interface RegressorImpurity

Parameters:

indices - The indices in the targets and weights arrays.

targets - The regression targets.

weights - The example weights.

Returns:

A tuple containing the impurity and the used weight sum.

toString

public String toString()

Overrides:

toString in class Object

getProvenance

public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>