Uses of Class
org.tribuo.classification.sgd.crf.ChainHelper.ChainCliqueValues

Packages that use ChainHelper.ChainCliqueValues

Package	Description
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.

Uses of ChainHelper.ChainCliqueValues in org.tribuo.classification.sgd.crf

Fields in org.tribuo.classification.sgd.crf declared as ChainHelper.ChainCliqueValues

Modifier and Type	Field	Description
final ChainHelper.ChainCliqueValues	ChainHelper.ChainBPResults.scores	The local clique scores (i.e., the linear model scores).
final ChainHelper.ChainCliqueValues	ChainHelper.ChainViterbiResults.scores	The pre-viterbi scores.

Methods in org.tribuo.classification.sgd.crf that return ChainHelper.ChainCliqueValues

Modifier and Type	Method	Description
ChainHelper.ChainCliqueValues	CRFParameters.getCliqueValues(SGDVector[] features)	Generates the local scores and tuples them with the label - label transition weights.

Methods in org.tribuo.classification.sgd.crf with parameters of type ChainHelper.ChainCliqueValues

Modifier and Type	Method	Description
static ChainHelper.ChainBPResults	ChainHelper.beliefPropagation(ChainHelper.ChainCliqueValues scores)	Runs belief propagation on a linear chain CRF.
static double	ChainHelper.constrainedBeliefPropagation(ChainHelper.ChainCliqueValues scores, int[] constraints)	Runs constrained belief propagation on a linear chain CRF.
static ChainHelper.ChainViterbiResults	ChainHelper.viterbi(ChainHelper.ChainCliqueValues scores)	Runs Viterbi on a linear chain CRF.