Package calhoun.analysis.crf.features.generic

features useful across different models

See:
Description

Class Summary

EndFeatures	indicator functions that evaluate to true for a selected set of start states at the first position in the sequence.
IndicatorEdges	a set of indicator features for the valid transitions in the model.
StartFeatures	indicator functions that evaluate to true for a selected set of start states at the first position in the sequence.
WeightedEdges	learns transition probabilities from the data and then creates a single feature for all edge transitions.
WeightedStateChanges	learns transition probabilities from the data and then creates a single feature for all edge transitions out of a given state.

Package calhoun.analysis.crf.features.generic Description

features useful across different models