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org.clulab.sequences

FeatureExtractor

Related Docs: class FeatureExtractor | package sequences

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object FeatureExtractor

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. val BIGRAM_THRESHOLD: Int

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  5. final def asInstanceOf[T0]: T0

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  6. var bigrams: Option[Set[String]]

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    Contains all bigrams in training that occur more BIGRAM_THRESHOLD times

  7. def clone(): AnyRef

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  8. def countBigrams(sentences: Seq[Sentence], threshold: Int): Unit

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    Counts the bigrams seen in this corpus so we filter out the non-frequent ones

    Counts the bigrams seen in this corpus so we filter out the non-frequent ones

    sentences

    The training corpus

  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. def mkBigram(sentence: Sentence, i: Int): String

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  16. final def ne(arg0: AnyRef): Boolean

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  17. def norm(w: String): String

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  18. def normAndLowerCase(w: String): String

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. final def synchronized[T0](arg0: ⇒ T0): T0

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  22. def toString(): String

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  23. final def wait(): Unit

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  24. final def wait(arg0: Long, arg1: Int): Unit

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  25. final def wait(arg0: Long): Unit

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