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## 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)`

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