Class

com.johnsnowlabs.nlp.annotators.resolution

ChunkEntityResolverApproach

Related Doc: package resolution

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class ChunkEntityResolverApproach extends AnnotatorApproach[ChunkEntityResolverModel] with ResolverParams with HasCaseSensitiveProperties with Licensed

Linear Supertypes
Licensed, HasCaseSensitiveProperties, ParamsAndFeaturesWritable, HasFeatures, ResolverParams, AnnotatorApproach[ChunkEntityResolverModel], CanBeLazy, DefaultParamsWritable, MLWritable, HasOutputAnnotatorType, HasOutputAnnotationCol, HasInputAnnotationCols, Estimator[ChunkEntityResolverModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ChunkEntityResolverApproach
  2. Licensed
  3. HasCaseSensitiveProperties
  4. ParamsAndFeaturesWritable
  5. HasFeatures
  6. ResolverParams
  7. AnnotatorApproach
  8. CanBeLazy
  9. DefaultParamsWritable
  10. MLWritable
  11. HasOutputAnnotatorType
  12. HasOutputAnnotationCol
  13. HasInputAnnotationCols
  14. Estimator
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ChunkEntityResolverApproach()

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  2. new ChunkEntityResolverApproach(uid: String)

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Type Members

  1. type AnnotatorType = String

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    Definition Classes
    HasOutputAnnotatorType

Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params
  4. def $$[T](feature: StructFeature[T]): T

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    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  9. def _fit(dataset: Dataset[_], recursiveStages: Option[PipelineModel]): ChunkEntityResolverModel

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    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  10. val allDistancesMetadata: BooleanParam

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    whether or not to return an all distance values in the metadata.

    whether or not to return an all distance values in the metadata. Default: False

    Definition Classes
    ResolverParams
  11. val alternatives: IntParam

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

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

    Definition Classes
    ResolverParams
  12. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  13. def beforeTraining(spark: SparkSession): Unit

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    Definition Classes
    AnnotatorApproach
  14. val caseSensitive: BooleanParam

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    Definition Classes
    HasCaseSensitiveProperties
  15. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

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    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  16. final def clear(param: Param[_]): ChunkEntityResolverApproach.this.type

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    Definition Classes
    Params
  17. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. val confidenceFunction: Param[String]

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    what function to use to calculate confidence: INVERSE or SOFTMAX

    what function to use to calculate confidence: INVERSE or SOFTMAX

    Definition Classes
    ResolverParams
  19. final def copy(extra: ParamMap): Estimator[ChunkEntityResolverModel]

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    Definition Classes
    AnnotatorApproach → Estimator → PipelineStage → Params
  20. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  21. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  22. val description: String

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    Definition Classes
    ChunkEntityResolverApproach → AnnotatorApproach
  23. val distanceFunction: Param[String]

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

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

    Definition Classes
    ResolverParams
  24. val distanceWeights: DoubleArrayParam

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

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

    Definition Classes
    ResolverParams
  25. lazy val embeddingsColumnName: String

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  26. val enableJaccard: BooleanParam

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    whether or not to use Jaccard token distance.

    whether or not to use Jaccard token distance. Default: True

    Definition Classes
    ResolverParams
  27. val enableJaroWinkler: BooleanParam

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    whether or not to use Jaro-Winkler character distance.

    whether or not to use Jaro-Winkler character distance. Default: False

    Definition Classes
    ResolverParams
  28. val enableLevenshtein: BooleanParam

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    whether or not to use Levenshtein character distance.

    whether or not to use Levenshtein character distance. Default: False

    Definition Classes
    ResolverParams
  29. val enableSorensenDice: BooleanParam

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    whether or not to use Sorensen-Dice token distance.

    whether or not to use Sorensen-Dice token distance. Default: False

    Definition Classes
    ResolverParams
  30. val enableTfidf: BooleanParam

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    whether or not to use TFIDF token distance.

    whether or not to use TFIDF token distance. Default: True

    Definition Classes
    ResolverParams
  31. val enableWmd: BooleanParam

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    whether or not to use WMD token distance.

    whether or not to use WMD token distance. Default: True

    Definition Classes
    ResolverParams
  32. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  33. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  34. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  35. def explainParams(): String

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    Definition Classes
    Params
  36. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  37. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  38. val extramassPenalty: DoubleParam

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

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

    Definition Classes
    ResolverParams
  39. val features: ArrayBuffer[Feature[_, _, _]]

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    Definition Classes
    HasFeatures
  40. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  41. final def fit(dataset: Dataset[_]): ChunkEntityResolverModel

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    Definition Classes
    AnnotatorApproach → Estimator
  42. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[ChunkEntityResolverModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  43. def fit(dataset: Dataset[_], paramMap: ParamMap): ChunkEntityResolverModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  44. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ChunkEntityResolverModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  45. def get[T](feature: StructFeature[T]): Option[T]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  46. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  47. def get[T](feature: SetFeature[T]): Option[Set[T]]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  48. def get[T](feature: ArrayFeature[T]): Option[Array[T]]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  49. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  50. def getAllDistancesMetadata: Boolean

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    Definition Classes
    ResolverParams
  51. def getAlternatives: Int

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    Definition Classes
    ResolverParams
  52. def getCaseSensitive: Boolean

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    Definition Classes
    HasCaseSensitiveProperties
  53. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  54. def getConfidenceFunction: String

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    Definition Classes
    ResolverParams
  55. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  56. def getDistanceFunction: String

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    Definition Classes
    ResolverParams
  57. def getDistanceWeights: Array[Double]

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    Definition Classes
    ResolverParams
  58. def getEnableJaccard: Boolean

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    Definition Classes
    ResolverParams
  59. def getEnableJaroWinkler: Boolean

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    Definition Classes
    ResolverParams
  60. def getEnableLevenshtein: Boolean

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    Definition Classes
    ResolverParams
  61. def getEnableSorensenDice: Boolean

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    Definition Classes
    ResolverParams
  62. def getEnableTfidf: Boolean

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    Definition Classes
    ResolverParams
  63. def getEnableWmd: Boolean

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    Definition Classes
    ResolverParams
  64. def getExtramassPenalty: Double

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    Definition Classes
    ResolverParams
  65. def getInputCols: Array[String]

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    Definition Classes
    HasInputAnnotationCols
  66. def getLabelCol: String

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  67. def getLazyAnnotator: Boolean

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    Definition Classes
    CanBeLazy
  68. def getMissAsEmpty: Boolean

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    Definition Classes
    ResolverParams
  69. def getNeighbours: Int

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    Definition Classes
    ResolverParams
  70. def getNormalizedCol: String

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

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    Definition Classes
    Params
  72. final def getOutputCol: String

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    Definition Classes
    HasOutputAnnotationCol
  73. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  74. def getPoolingStrategy: String

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    Definition Classes
    ResolverParams
  75. def getThreshold: Double

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    Definition Classes
    ResolverParams
  76. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  77. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  78. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  79. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  80. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  81. val inputAnnotatorTypes: Array[String]

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    Definition Classes
    ChunkEntityResolverApproach → HasInputAnnotationCols
  82. final val inputCols: StringArrayParam

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    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  83. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  84. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  85. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  86. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  87. val labelCol: Param[String]

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    column name for the value we are trying to resolve

  88. lazy val labelColumnName: String

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  89. val lazyAnnotator: BooleanParam

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    Definition Classes
    CanBeLazy
  90. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  91. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  92. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  93. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  94. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  95. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  96. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  97. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  98. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  99. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  100. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  101. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  102. val missAsEmpty: BooleanParam

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    whether or not to return an empty annotation on unmatched chunks

    whether or not to return an empty annotation on unmatched chunks

    Definition Classes
    ResolverParams
  103. def msgHelper(schema: StructType): String

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    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  104. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  105. val neighbours: IntParam

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

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

    Definition Classes
    ResolverParams
  106. val normalizedCol: Param[String]

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    column name for the original, normalized description

  107. lazy val normalizedColumnName: String

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  108. final def notify(): Unit

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    Definition Classes
    AnyRef
  109. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  110. def onTrained(model: ChunkEntityResolverModel, spark: SparkSession): Unit

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    Definition Classes
    AnnotatorApproach
  111. def onWrite(path: String, spark: SparkSession): Unit

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    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesWritable
  112. val outputAnnotatorType: AnnotatorType

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    Definition Classes
    ChunkEntityResolverApproach → HasOutputAnnotatorType
  113. final val outputCol: Param[String]

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    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  114. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  115. val poolingStrategy: Param[String]

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    pooling strategy to aggregate distances: AVERAGE or SUM

    pooling strategy to aggregate distances: AVERAGE or SUM

    Definition Classes
    ResolverParams
  116. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  117. def set[T](feature: StructFeature[T], value: T): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  118. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  119. def set[T](feature: SetFeature[T], value: Set[T]): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  120. def set[T](feature: ArrayFeature[T], value: Array[T]): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  121. final def set(paramPair: ParamPair[_]): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    Params
  122. final def set(param: String, value: Any): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    Params
  123. final def set[T](param: Param[T], value: T): ChunkEntityResolverApproach.this.type

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    Definition Classes
    Params
  124. def setAllDistancesMetadata(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  125. def setAlternatives(a: Int): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  126. def setCaseSensitive(value: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    HasCaseSensitiveProperties
  127. def setConfidenceFunction(v: String): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  128. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  129. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  130. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  131. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  132. final def setDefault(paramPairs: ParamPair[_]*): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    Params
  133. final def setDefault[T](param: Param[T], value: T): ChunkEntityResolverApproach.this.type

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    Attributes
    protected
    Definition Classes
    Params
  134. def setDistanceFunction(value: String): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  135. def setDistanceWeights(v: Array[Double]): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  136. def setEnableJaccard(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  137. def setEnableJaroWinkler(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  138. def setEnableLevenshtein(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  139. def setEnableSorensenDice(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  140. def setEnableTfidf(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  141. def setEnableWmd(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  142. def setExtramassPenalty(emp: Double): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  143. final def setInputCols(value: String*): ChunkEntityResolverApproach.this.type

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    Definition Classes
    HasInputAnnotationCols
  144. final def setInputCols(value: Array[String]): ChunkEntityResolverApproach.this.type

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    Definition Classes
    HasInputAnnotationCols
  145. def setLabelCol(value: String): ChunkEntityResolverApproach.this.type

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  146. def setLazyAnnotator(value: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    CanBeLazy
  147. def setMissAsEmpty(v: Boolean): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  148. def setNeighbours(k: Int): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  149. def setNormalizedCol(value: String): ChunkEntityResolverApproach.this.type

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  150. final def setOutputCol(value: String): ChunkEntityResolverApproach.this.type

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    Definition Classes
    HasOutputAnnotationCol
  151. def setPoolingStrategy(value: String): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  152. def setThreshold(dist: Double): ChunkEntityResolverApproach.this.type

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    Definition Classes
    ResolverParams
  153. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  154. val threshold: DoubleParam

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    threshold value for the aggregated distance

    threshold value for the aggregated distance

    Definition Classes
    ResolverParams
  155. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  156. lazy val tokensColumnName: String

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  157. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): ChunkEntityResolverModel

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    Returns the ChunkEntityResolverModel Transformer, that can be used to transform input datasets

    Returns the ChunkEntityResolverModel Transformer, that can be used to transform input datasets

    The dataset provided to the fit method should have one chunk per row and contain the following columns: ChunkTokens, ChunkEmbeddings, ResolverLabel, [ResolverNormalized]

    The cardinality of the dataset should not exceed 100.000 data points since searching in such a big KD-tree becomes impractical

    This method is called inside the AnnotatorApproach's fit method

    dataset

    a Dataset containing ChunkTokens, ChunkEmbeddings, ClassifierLabel, ResolverLabel, [ResolverNormalized]

    returns

    a trained ChunkEntityResolverModel

    Definition Classes
    ChunkEntityResolverApproach → AnnotatorApproach
  158. final def transformSchema(schema: StructType): StructType

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    Definition Classes
    AnnotatorApproach → PipelineStage
  159. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  160. val uid: String

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    Definition Classes
    ChunkEntityResolverApproach → Identifiable
  161. def validate(schema: StructType): Boolean

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    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  162. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  163. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  164. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  165. def write: MLWriter

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    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from Licensed

Inherited from HasCaseSensitiveProperties

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from ResolverParams

Inherited from AnnotatorApproach[ChunkEntityResolverModel]

Inherited from CanBeLazy

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputAnnotatorType

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from Estimator[ChunkEntityResolverModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped