org.allenai.nlpstack.parse.poly.ml

CandidatePoolCorpus

case class CandidatePoolCorpus(pools: Iterable[CandidatePool]) extends Product with Serializable

A CandidatePoolCorpus is a set of candidate pools (see CandidatePool, above).

pools

the pools in the corpus

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Instance Constructors

  1. new CandidatePoolCorpus(pools: Iterable[CandidatePool])

    pools

    the pools in the corpus

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  1. final def !=(arg0: AnyRef): Boolean

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  15. val pools: Iterable[CandidatePool]

    the pools in the corpus

  16. def runSampling(numIters: Int): TrainingData

    Creates a corpus of "difference vectors" by repeatedly sampling two vectors from a candidate pool and subtracting them.

    Creates a corpus of "difference vectors" by repeatedly sampling two vectors from a candidate pool and subtracting them. The resulting vector will have a negative cost if the first vector is better (has lower cost) than the second, and a positive cost if the second vector is better (has lower cost) than the first.

    numIters

    number of samples to generate per pool

    returns

    a training data corpus consisting of the resulting difference vectors

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