Class AbsoluteLoss

java.lang.Object

org.tribuo.regression.sgd.objectives.AbsoluteLoss

All Implemented Interfaces:

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

public class AbsoluteLoss
extends Object
implements RegressionObjective

Absolute loss (i.e., l1).

Constructor Summary

Constructors

Constructor	Description
AbsoluteLoss()

Method Summary

Modifier and Type	Method	Description
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance	getProvenance()
com.oracle.labs.mlrg.olcut.util.Pair<Double, SGDVector>	loss(DenseVector truth, SGDVector prediction)	Scores a prediction, returning the loss.
String	toString()

Methods inherited from class java.lang.Object

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

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

postConfig

Constructor Details

AbsoluteLoss

public AbsoluteLoss()

Method Details

loss

public com.oracle.labs.mlrg.olcut.util.Pair<Double, SGDVector> loss(DenseVector truth,
 SGDVector prediction)

Description copied from interface: RegressionObjective

Scores a prediction, returning the loss.

Specified by:

loss in interface RegressionObjective

Parameters:

truth - The true regression value.

prediction - The predicted regression value.

Returns:

A pair with the loss and gradient.

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>