Class

org.mitre.jcarafe.maxent

Evaluator

Related Doc: package maxent

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class Evaluator extends AnyRef

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Instance Constructors

  1. new Evaluator()

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  2. new Evaluator(opts: MEOptions)

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  3. new Evaluator(opts: MEOptions, sg: MaxEntSeqGenAttVal)

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  4. new Evaluator(opts: MEOptions, seqGen: MaxEntTrainingSeqGen, decodingSeqGen: Option[MaxEntSeqGenAttVal] = None)

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Value Members

  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. def accuracy(m: Array[Array[Int]]): Double

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  5. def addInstances(i: InstanceSequence): Unit

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  6. def addJInstance(l: String, fs: List[String]): Unit

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  7. def addTo(m1: Array[Array[Int]], m2: Array[Array[Int]]): Unit

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  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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  10. def colSum(m: Array[Array[Int]], i: Int): Int

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  11. val decodedOutputStream: Option[OutputStreamWriter]

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  12. val decodingSeqGen: Option[MaxEntSeqGenAttVal]

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

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  14. def equals(arg0: Any): Boolean

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  15. def evaluate(decoder: RuntimeMaxEntDecoder, testInsts: Seq[InstanceSequence]): (Array[Array[Int]], Double)

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  16. def finalize(): Unit

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

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  18. def getConfusionMatrix(s: Int, pairs: Seq[(Int, Int)]): Array[Array[Int]]

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  19. def getLabel(i: Int, invMap: Map[Int, AbstractLabel]): String

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  20. def hashCode(): Int

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  21. var instances: Option[InstanceSequence]

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  22. final def isInstanceOf[T0]: Boolean

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

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  24. final def notify(): Unit

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  25. final def notifyAll(): Unit

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  26. val opts: MEOptions

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  27. def precision(m: Array[Array[Int]], i: Int): Double

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  28. def produceReport(confMatsAndDivergence: IndexedSeq[(Array[Array[Int]], Double)], nfolds: Int, f: File): Unit

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  29. def recall(m: Array[Array[Int]], i: Int): Double

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  30. def reportOnMatrix(xval: Boolean, fname: String, os: Writer, mat: Array[Array[Int]]): Unit

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  31. def rowSum(m: Array[Array[Int]], i: Int): Int

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  32. val seqGen: MaxEntTrainingSeqGen

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  33. def setInstances: Unit

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  34. def setSources: Unit

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

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  36. def toString(): String

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  37. def trainAndEvaluate(training: Seq[ObsSource[List[(FeatureId, Double)]]], testing: Seq[ObsSource[List[(FeatureId, Double)]]]): (Array[Array[Int]], Double)

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  38. final def wait(): Unit

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

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

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  41. def xValidate(n: Int): IndexedSeq[(Array[Array[Int]], Double)]

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  42. def xValidateAndGenerateReport(nfolds: Int, f: File): Unit

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