Uses of Class
calhoun.analysis.crf.CRFInference.InferenceResult

Packages that use CRFInference.InferenceResult

calhoun.analysis.crf	the interface, main Conrad class, and solver for the Conrad engine.
calhoun.analysis.crf.solver	training and inference algorithms used in the CRF engine

Uses of CRFInference.InferenceResult in calhoun.analysis.crf

Methods in calhoun.analysis.crf that return CRFInference.InferenceResult

CRFInference.InferenceResult	Conrad.predict(InputSequence data) preforms inference on the input sequence and determines the best labeling for the sequence using the configured inference algorithm.
CRFInference.InferenceResult	CRFInference.predict(ModelManager mm, InputSequence<?> data, double[] weights) Return the labelling that maximizes the conditional probability P(y|x).

Uses of CRFInference.InferenceResult in calhoun.analysis.crf.solver

Methods in calhoun.analysis.crf.solver that return CRFInference.InferenceResult

CRFInference.InferenceResult	Viterbi.predict(ModelManager fm, InputSequence<?> seq, double[] lambda)
CRFInference.InferenceResult	SemiMarkovViterbiNoCache.predict(ModelManager fm, InputSequence<?> seq, double[] lambda)
CRFInference.InferenceResult	SemiMarkovViterbi.predict(ModelManager fm, InputSequence<?> seq, double[] lambda)