Trait

com.johnsnowlabs.nlp.annotators.resolution.ensemble.params

EnsembleModelResolverParams

Related Doc: package params

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trait EnsembleModelResolverParams extends Params

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Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  1. EnsembleModelResolverParams
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params
  2. abstract val uid: String

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    Definition Classes
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Concrete Value Members

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

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  2. final def ##(): Int

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  3. final def $[T](param: Param[T]): T

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

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  5. val alternatives: IntParam

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    number of results to return in the metadata after sorting by last distance calculated

  6. final def asInstanceOf[T0]: T0

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  7. final def clear(param: Param[_]): EnsembleModelResolverParams.this.type

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  8. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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  11. val distanceFunction: Param[String]

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    what distance function to use for KNN: 'EUCLIDEAN' or 'COSINE'

  12. val distanceWeights: DoubleArrayParam

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    distance weights to apply before pooling: [WMD, TFIDF, Jaccard, SorensenDice, JaroWinkler, Levenshtein]

  13. val enableJaccard: BooleanParam

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    whether or not to use Jaccard token distance

  14. val enableJaroWinkler: BooleanParam

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    whether or not to use Jaro-Winkler character distance

  15. val enableLevenshtein: BooleanParam

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    whether or not to use Levenshtein character distance

  16. val enableSorensenDice: BooleanParam

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    whether or not to use Sorensen-Dice token distance

  17. val enableTfidf: BooleanParam

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    whether or not to use TFIDF token distance

  18. val enableWmd: BooleanParam

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    whether or not to use WMD token distance

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

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  20. def equals(arg0: Any): Boolean

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  21. def explainParam(param: Param[_]): String

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  22. def explainParams(): String

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    Definition Classes
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  23. final def extractParamMap(): ParamMap

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  24. final def extractParamMap(extra: ParamMap): ParamMap

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  25. val extramassPenalty: DoubleParam

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    penalty for extra words in the knowledge base match during WMD calculation

  26. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  27. final def get[T](param: Param[T]): Option[T]

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  28. def getAlternatives: Int

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

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  30. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
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  31. def getDistanceFunction: String

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  32. def getDistanceWeights: Array[Double]

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  33. def getEnableJaccard: Boolean

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  34. def getEnableJaroWinkler: Boolean

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  35. def getEnableLevenshtein: Boolean

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  36. def getEnableSorensenDice: Boolean

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  37. def getEnableTfidf: Boolean

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  38. def getEnableWmd: Boolean

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  39. def getExtramassPenalty: Double

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  40. def getMissAsEmpty: Boolean

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  41. def getNeighbours: Int

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  42. final def getOrDefault[T](param: Param[T]): T

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  43. def getParam(paramName: String): Param[Any]

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  44. def getPoolingStrategy: String

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  45. def getThreshold: Double

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  46. final def hasDefault[T](param: Param[T]): Boolean

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  47. def hasParam(paramName: String): Boolean

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  48. def hashCode(): Int

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  49. final def isDefined(param: Param[_]): Boolean

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  50. final def isInstanceOf[T0]: Boolean

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  51. final def isSet(param: Param[_]): Boolean

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  52. val missAsEmpty: BooleanParam

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    whether or not to return an empty annotation on unmatched chunks

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

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  54. val neighbours: IntParam

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    number of neighbours to consider in the KNN query to calculate WMD

  55. final def notify(): Unit

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  56. final def notifyAll(): Unit

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  57. lazy val params: Array[Param[_]]

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  58. val poolingStrategy: Param[String]

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    pooling strategy to aggregate distances: AVERAGE or SUM

  59. final def set(paramPair: ParamPair[_]): EnsembleModelResolverParams.this.type

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  60. final def set(param: String, value: Any): EnsembleModelResolverParams.this.type

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  61. final def set[T](param: Param[T], value: T): EnsembleModelResolverParams.this.type

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  62. def setAlternatives(a: Int): EnsembleModelResolverParams.this.type

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  63. final def setDefault(paramPairs: ParamPair[_]*): EnsembleModelResolverParams.this.type

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  64. final def setDefault[T](param: Param[T], value: T): EnsembleModelResolverParams.this.type

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  65. def setDistanceFunction(value: String): EnsembleModelResolverParams.this.type

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  66. def setDistanceWeights(v: Array[Double]): EnsembleModelResolverParams.this.type

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  67. def setEnableJaccard(v: Boolean): EnsembleModelResolverParams.this.type

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  68. def setEnableJaroWinkler(v: Boolean): EnsembleModelResolverParams.this.type

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  69. def setEnableLevenshtein(v: Boolean): EnsembleModelResolverParams.this.type

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  70. def setEnableSorensenDice(v: Boolean): EnsembleModelResolverParams.this.type

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  71. def setEnableTfidf(v: Boolean): EnsembleModelResolverParams.this.type

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  72. def setEnableWmd(v: Boolean): EnsembleModelResolverParams.this.type

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  73. def setExtramassPenalty(emp: Double): EnsembleModelResolverParams.this.type

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  74. def setMissAsEmpty(v: Boolean): EnsembleModelResolverParams.this.type

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  75. def setNeighbours(k: Int): EnsembleModelResolverParams.this.type

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  76. def setPoolingStrategy(value: String): EnsembleModelResolverParams.this.type

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  77. def setThreshold(dist: Double): EnsembleModelResolverParams.this.type

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

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  79. val threshold: DoubleParam

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    threshold value for the aggregated distance

  80. def toString(): String

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  81. final def wait(): Unit

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

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

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Inherited from Params

Inherited from Serializable

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