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## Package calhoun.analysis.crf.solver

training and inference algorithms used in the CRF engine

See:
Description

Interface Summary
CacheProcessor | interface to implementations of feature caches.

Class Summary
CacheProcessor.FeatureEvaluation | This class holds the feature evaluations for a given position, or position/length combination.
CacheProcessor.LengthFeatureEvaluation |
CacheProcessor.SolverSetup |
CacheProcessor.StatePotentials |
CacheProcessorBasic | basic functionality common to most cache processors.
CacheProcessorDeluxe | A policy based cache processor.
FixedWeightOptimizer | a dummy optimizer that just fixed the weights at values specified in the configuration.
LogFiles |
LookbackBuffer | This object holds information about previous positions during the computation of betas and expectations.
MaximumExpectedAccuracySemiMarkovGradient | computes an objective function which is the expected value of a local path similarity score on a semi-Markov model.
MaximumLikelihoodGradient | computes the likelihood of the true path for a Markov CRF.
MaximumLikelihoodSemiMarkovGradient | computes the likelihood of the true path for a semi-Markov CRF.
NoCachingCacheProcessor | a dummy cache processor that fulfills the interface but doesn't cache.
RecyclingBuffer<T> | Utility class that implements a FIFO buffer with constant time adds, removes, and accesses to any position using a circular buffer in an array.
SeededOptimizer | an optimizer that uses the weights from another model as the seed for a new optimization.
SemiMarkovViterbi | viterbi algorithm for semi-Markov CRFs.
SemiMarkovViterbiNoCache | viterbi algorithm for semi-Markov CRFs.
SimplexOptimizer | uses a nelder-mead algorithm (the simplex method) to do a general function optimization objective function.
StandardOptimizer | uses a L-BFGS algorithm to optimize the objective function.
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.
Viterbi |

## Package calhoun.analysis.crf.solver Description

training and inference algorithms used in the CRF engine

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