Class | Description |
---|---|
LazyMaxLikelihoodMPE |
Voted perception algorithm that does not require a ground model of pre-specified dimensionality.
|
MaxLikelihoodMPE |
Learns weights by optimizing the log likelihood of the data using
the voted perceptron algorithm.
|
MaxPiecewisePseudoLikelihood |
Learns weights by optimizing the piecewise-pseudo-log-likelihood of the data using
the voted perceptron algorithm.
|
MaxPseudoLikelihood |
Learns weights by optimizing the pseudo-log-likelihood of the data using
the voted perceptron algorithm.
|
SimplexSampler |
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