edu.cmu.ml.rtw.pra.data

Dataset

class Dataset[T <: Instance] extends AnyRef

A collection of positive and negative (source, target) pairs.

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Instance Constructors

  1. new Dataset(instances: Seq[T], fileUtil: FileUtil = new com.mattg.util.FileUtil())

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. val fileUtil: FileUtil

  11. def finalize(): Unit

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

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  13. def getNegativeInstances(): Seq[T]

  14. def getPosAndNeg(): (Seq[T], Seq[T])

  15. def getPositiveInstances(): Seq[T]

  16. def hashCode(): Int

    Definition Classes
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  17. val instances: Seq[T]

  18. def instancesToStrings(): Seq[String]

  19. final def isInstanceOf[T0]: Boolean

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  20. def merge(other: Dataset[T]): Dataset[T]

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

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  22. final def notify(): Unit

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  23. final def notifyAll(): Unit

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  24. def splitData(percent: Double): (Dataset[T], Dataset[T])

    Takes the examples in this dataset and splits it into two datasets, where the first has percent of the data.

    Takes the examples in this dataset and splits it into two datasets, where the first has percent of the data. Modulo rounding errors, the ratio of positive to negative examples will be the same in both resultant datasets as it is in the original dataset.

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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