Uses of Interface
calhoun.analysis.crf.CRFTraining

Packages that use CRFTraining

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 CRFTraining in calhoun.analysis.crf

Methods in calhoun.analysis.crf that return CRFTraining

CRFTraining

Conrad.getOptimizer() returns the configured numerical optimizer which will be used to select the optimal feature weights during training.

Methods in calhoun.analysis.crf with parameters of type CRFTraining

void	Conrad.setOptimizer(CRFTraining optimizer) sets the numerical optimizer.

Uses of CRFTraining in calhoun.analysis.crf.solver

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

class	FixedWeightOptimizer a dummy optimizer that just fixed the weights at values specified in the configuration.
class	SeededOptimizer an optimizer that uses the weights from another model as the seed for a new optimization.
class	SimplexOptimizer uses a nelder-mead algorithm (the simplex method) to do a general function optimization objective function.
class	StandardOptimizer uses a L-BFGS algorithm to optimize the objective function.
class	TwoPassOptimizer a two pass optimizer that does an initial optimization and then uses the weights generated from that as the start of a second optimization.

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

CRFTraining	TwoPassOptimizer.getFirstPass()
CRFTraining	TwoPassOptimizer.getSecondPass()
CRFTraining	SeededOptimizer.getSeededOptimizer()

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

void	TwoPassOptimizer.setFirstPass(CRFTraining firstPass)
void	TwoPassOptimizer.setSecondPass(CRFTraining secondPass)
void	SeededOptimizer.setSeededOptimizer(CRFTraining seededOptimizer)