org.tribuo.multilabel.sgd

Interface MultiLabelObjective

All Superinterfaces:

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

All Known Implementing Classes:

BinaryCrossEntropy, Hinge

public interface MultiLabelObjective
extends SGDObjective<SGDVector>

An interface for multi-label prediction objectives.

An objective knows if it generates a probabilistic model or not, and what kind of normalization needs to be applied to produce probability values.

Method Summary

Modifier and Type	Method and Description
VectorNormalizer	getNormalizer() Generates a new VectorNormalizer which normalizes the predictions into a suitable format.
boolean	isProbabilistic() Does the objective function score probabilities or not?
double	threshold() The default prediction threshold for creating the output.

Methods inherited from interface org.tribuo.common.sgd.SGDObjective

lossAndGradient

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

postConfig

Methods inherited from interface com.oracle.labs.mlrg.olcut.provenance.Provenancable

getProvenance

Method Detail

getNormalizer

VectorNormalizer getNormalizer()

Generates a new VectorNormalizer which normalizes the predictions into a suitable format.

Returns:

The vector normalizer for this objective.

isProbabilistic

boolean isProbabilistic()

Does the objective function score probabilities or not?

Returns:

boolean.

threshold

double threshold()

The default prediction threshold for creating the output.

Returns:

The threshold.