Package com.pawjaw.classification.crf.lmcbt

This package is an implementation of a linear Markov chain Conditional Random Field (CRF) model that uses boosted regression trees for training and inference.

See:
          Description

Class Summary
CRFInference Class to take trained and serialized CRF model and apply to new data for labeling.
CRFMath  
CRFTrainer Main entry point for training new CRF model.
CRFValidator  
 

Package com.pawjaw.classification.crf.lmcbt Description

This package is an implementation of a linear Markov chain Conditional Random Field (CRF) model that uses boosted regression trees for training and inference.

The entry point is the CRFTrainer class for training and CRFInference for inference.