Uses of Interface
calhoun.analysis.crf.CRFObjectiveFunctionGradient

Packages that use CRFObjectiveFunctionGradient

calhoun.analysis.crf.solver	training and inference algorithms used in the CRF engine
calhoun.analysis.crf.solver.semimarkov

Uses of CRFObjectiveFunctionGradient in calhoun.analysis.crf.solver

Classes in calhoun.analysis.crf.solver that implement CRFObjectiveFunctionGradient

class	MaximumExpectedAccuracySemiMarkovGradient computes an objective function which is the expected value of a local path similarity score on a semi-Markov model.
class	MaximumLikelihoodGradient computes the likelihood of the true path for a Markov CRF.
class	MaximumLikelihoodSemiMarkovGradient computes the likelihood of the true path for a semi-Markov CRF.

Methods in calhoun.analysis.crf.solver that return CRFObjectiveFunctionGradient

CRFObjectiveFunctionGradient	StandardOptimizer.getObjectiveFunction() returns the configured objective function gradient which will be used by the optimizer during the training process.
CRFObjectiveFunctionGradient	SimplexOptimizer.getObjectiveFunction() returns the configured objective function gradient which will be used by the optimizer during the training process.

Methods in calhoun.analysis.crf.solver with parameters of type CRFObjectiveFunctionGradient

void	StandardOptimizer.setObjectiveFunction(CRFObjectiveFunctionGradient objectiveFunction) sets the objective function gradient.
void	SimplexOptimizer.setObjectiveFunction(CRFObjectiveFunctionGradient objectiveFunction) sets the objective function gradient.

Uses of CRFObjectiveFunctionGradient in calhoun.analysis.crf.solver.semimarkov

Classes in calhoun.analysis.crf.solver.semimarkov that implement CRFObjectiveFunctionGradient

class	CleanLocalScoreSemiMarkovGradient computes an objective function which is the expected value of a local path similarity score on a semi-Markov model.
class	CleanMaximumLikelihoodSemiMarkovGradient computes the likelihood of the true path for a semi-Markov CRF.