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## 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

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