org.allenai.nlpstack.parse.poly.ml

CandidatePool

case class CandidatePool(scoredCandidates: Map[FeatureVector, Double]) extends Product with Serializable

A CandidatePool is an abstraction for a "pool" of comparable objects.

Each object is represented as a feature vector, and is associated with a cost. Lower-cost feature vectors are "better." Usually we want to use a corpus of these "pools" to learn to distinguish "good" feature vectors from "bad" feature vectors.

scoredCandidates

a mapping of feature vectors to costs (lower is better)

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Instance Constructors

  1. new CandidatePool(scoredCandidates: Map[FeatureVector, Double])

    scoredCandidates

    a mapping of feature vectors to costs (lower is better)

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  14. final def notifyAll(): Unit

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  15. val scoredCandidates: Map[FeatureVector, Double]

    a mapping of feature vectors to costs (lower is better)

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