org.allenai.nlpstack.parse.poly.fsm

TransitionClassifier

Related Docs: object TransitionClassifier | package fsm

abstract class TransitionClassifier extends AnyRef

A TransitionClassifier maps Transitions to probabilities.

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  1. new TransitionClassifier()

Abstract Value Members

  1. abstract def classify(featureVector: FeatureVector): StateTransition

    Returns the most probable Transition according to .getDistribution(featureVector).

    Returns the most probable Transition according to .getDistribution(featureVector).

    featureVector

    the feature vector to use to compute the distribution

    returns

    the most probable Transition, given the argument feature vector

  2. abstract def getDistribution(featureVector: FeatureVector): Map[StateTransition, Float]

    Given the argument feature vector, this assigns a probability to a set of Transitions.

    Given the argument feature vector, this assigns a probability to a set of Transitions.

    featureVector

    the feature vector to use to compute the distribution

    returns

    a probability distribution over Transitions

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