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## 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.

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