Class/Object

com.johnsnowlabs.nlp.annotators.resolution

ChunkEntityResolverModel

Related Docs: object ChunkEntityResolverModel | package resolution

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class ChunkEntityResolverModel extends AnnotatorModel[ChunkEntityResolverModel] with HasStorageModel with HasEmbeddingsProperties with Licensed

Contains all the parameters to transform a dataset with two Input Annotations of types TOKEN and WORD_EMBEDDINGS, coming from ChunkTokenizer and ChunkEmbeddings Annotators and return the Normalized Entity for a particular trained ontology / curated dataset.

Linear Supertypes
Licensed, HasEmbeddingsProperties, HasStorageModel, HasExcludableStorage, HasStorageReader, HasCaseSensitiveProperties, HasStorageRef, AnnotatorModel[ChunkEntityResolverModel], CanBeLazy, RawAnnotator[ChunkEntityResolverModel], HasOutputAnnotationCol, HasInputAnnotationCols, HasOutputAnnotatorType, ParamsAndFeaturesWritable, HasFeatures, DefaultParamsWritable, MLWritable, Model[ChunkEntityResolverModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. ChunkEntityResolverModel
  2. Licensed
  3. HasEmbeddingsProperties
  4. HasStorageModel
  5. HasExcludableStorage
  6. HasStorageReader
  7. HasCaseSensitiveProperties
  8. HasStorageRef
  9. AnnotatorModel
  10. CanBeLazy
  11. RawAnnotator
  12. HasOutputAnnotationCol
  13. HasInputAnnotationCols
  14. HasOutputAnnotatorType
  15. ParamsAndFeaturesWritable
  16. HasFeatures
  17. DefaultParamsWritable
  18. MLWritable
  19. Model
  20. Transformer
  21. PipelineStage
  22. Logging
  23. Params
  24. Serializable
  25. Serializable
  26. Identifiable
  27. AnyRef
  28. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ChunkEntityResolverModel()

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  2. new ChunkEntityResolverModel(uid: String)

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Type Members

  1. type AnnotationContent = Seq[Row]

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    Attributes
    protected
    Definition Classes
    AnnotatorModel
  2. 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 _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame

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    Attributes
    protected
    Definition Classes
    AnnotatorModel
  10. def afterAnnotate(dataset: DataFrame): DataFrame

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    Attributes
    protected
    Definition Classes
    AnnotatorModel
  11. val alternatives: IntParam

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

  12. def annotate(annotations: Seq[Annotation]): Seq[Annotation]

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    Resolves the ResolverLabel for the given array of TOKEN and WORD_EMBEDDINGS annotations

    Resolves the ResolverLabel for the given array of TOKEN and WORD_EMBEDDINGS annotations

    annotations

    an array of TOKEN and WORD_EMBEDDINGS Annotation objects coming from ChunkTokenizer and ChunkEmbeddings respectively

    returns

    an array of Annotation objects, with the result of the entity resolution for each chunk and the following metadata all_k_results -> Sorted ResolverLabels in the top alternatives that match the distance threshold all_k_resolutions -> Respective ResolverNormalized strings all_k_distances -> Respective distance values after aggregation all_k_wmd_distances -> Respective WMD distance values all_k_tfidf_distances -> Respective TFIDF Cosinge distance values all_k_jaccard_distances -> Respective Jaccard distance values all_k_sorensen_distances -> Respective SorensenDice distance values all_k_jaro_distances -> Respective JaroWinkler distance values all_k_levenshtein_distances -> Respective Levenshtein distance values all_k_confidences -> Respective normalized probabilities based in inverse distance values all_k_confidence_ratios -> Convenience indicator calculated as the ratio between the i_th and the (i+1)_th probability target_text -> The actual searched string resolved_text -> The top ResolverNormalized string confidence -> Top probability confidence_ratio -> Top confidence ratio distance -> Top distance value sentence -> Sentence index chunk -> Chunk Index token -> Token index

    Definition Classes
    ChunkEntityResolverModel → AnnotatorModel
  13. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  14. def beforeAnnotate(dataset: Dataset[_]): Dataset[_]

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    validates the dataset before applying it further down the pipeline

    validates the dataset before applying it further down the pipeline

    Attributes
    protected
    Definition Classes
    ChunkEntityResolverModel → AnnotatorModel
  15. val caseSensitive: BooleanParam

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

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

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    Definition Classes
    Params
  18. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. def copy(extra: ParamMap): ChunkEntityResolverModel

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

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    Attributes
    protected
    Definition Classes
    Params
  21. def createDatabaseConnection(database: Name): RocksDBConnection

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    Definition Classes
    HasStorageRef
  22. def createReader(database: Name, connection: RocksDBConnection): WordEmbeddingsReader

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    creates WordEmbeddingsReader, based on the DB name and connection

    creates WordEmbeddingsReader, based on the DB name and connection

    database

    Name of the desired database

    connection

    Connection to the RocksDB

    returns

    The instance of the class WordEmbeddingsReader

    Attributes
    protected
    Definition Classes
    ChunkEntityResolverModel → HasStorageReader
  23. val databases: Array[Name]

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    This cannot hold EMBEDDINGS since otherwise ER will try to re-save and read embeddings again

    This cannot hold EMBEDDINGS since otherwise ER will try to re-save and read embeddings again

    Attributes
    protected
    Definition Classes
    ChunkEntityResolverModel → HasStorageModel
  24. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  25. def deserializeStorage(path: String, spark: SparkSession): Unit

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    Definition Classes
    HasStorageModel
  26. def dfAnnotate: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    AnnotatorModel
  27. val dimension: IntParam

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    Definition Classes
    HasEmbeddingsProperties
  28. val distanceFunction: Param[String]

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

  29. val distanceWeights: DoubleArrayParam

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

  30. val enableJaccard: BooleanParam

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    whether or not to use Jaccard token distance

  31. val enableJaroWinkler: BooleanParam

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    whether or not to use Jaro-Winkler character distance

  32. val enableLevenshtein: BooleanParam

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    whether or not to use Levenshtein character distance

  33. val enableSorensenDice: BooleanParam

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    whether or not to use Sorensen-Dice token distance

  34. val enableTfidf: BooleanParam

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    whether or not to use TFIDF token distance

  35. val enableWmd: BooleanParam

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    whether or not to use WMD token distance

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

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

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

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    Definition Classes
    Params
  39. def explainParams(): String

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    Definition Classes
    Params
  40. def extraValidate(structType: StructType): Boolean

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    Attributes
    protected
    Definition Classes
    RawAnnotator
  41. def extraValidateMsg: String

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    Attributes
    protected
    Definition Classes
    RawAnnotator
  42. final def extractParamMap(): ParamMap

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

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    Definition Classes
    Params
  44. val extramassPenalty: DoubleParam

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

  45. val features: ArrayBuffer[Feature[_, _, _]]

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    Definition Classes
    HasFeatures
  46. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  47. def get[T](feature: StructFeature[T]): Option[T]

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

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

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

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

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    Definition Classes
    Params
  52. def getAlternatives: Int

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  53. def getCaseSensitive: Boolean

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

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

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    Definition Classes
    Params
  56. def getDimension: Int

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    Definition Classes
    HasEmbeddingsProperties
  57. def getDistanceFunction: String

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  58. def getDistanceWeights: Array[Double]

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  59. def getEnableJaccard: Boolean

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  60. def getEnableJaroWinkler: Boolean

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  61. def getEnableLevenshtein: Boolean

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  62. def getEnableSorensenDice: Boolean

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  63. def getEnableTfidf: Boolean

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  64. def getEnableWmd: Boolean

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  65. def getExtramassPenalty: Double

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  66. def getIncludeStorage: Boolean

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    Definition Classes
    HasExcludableStorage
  67. def getInputCols: Array[String]

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    Definition Classes
    HasInputAnnotationCols
  68. def getLazyAnnotator: Boolean

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    Definition Classes
    CanBeLazy
  69. def getMissAsEmpty: Boolean

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  70. def getNeighbours: Int

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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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  75. def getReader[A](database: Name): StorageReader[A]

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    Attributes
    protected
    Definition Classes
    HasStorageReader
  76. def getSearchTree: SerializableKDTree[TreeData]

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  77. def getStorageRef: String

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    Definition Classes
    HasStorageRef
  78. def getTermIDF: Map[String, (Int, Double)]

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  79. def getThreshold: Double

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

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

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    Definition Classes
    Params
  82. def hasParent: Boolean

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    Definition Classes
    Model
  83. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  84. val includeStorage: BooleanParam

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    Definition Classes
    HasExcludableStorage
  85. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

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    Annotator reference id.

    Annotator reference id. Used to identify elements in metadata or to refer to this annotator type

    Definition Classes
    ChunkEntityResolverModel → HasInputAnnotationCols
  88. final val inputCols: StringArrayParam

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

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

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

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    Definition Classes
    Params
  92. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  93. val lazyAnnotator: BooleanParam

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    Definition Classes
    CanBeLazy
  94. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  101. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  106. val missAsEmpty: BooleanParam

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    whether or not to return an empty annotation on unmatched chunks

  107. def msgHelper(schema: StructType): String

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

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    Definition Classes
    AnyRef
  109. val neighbours: IntParam

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

  110. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  112. def onWrite(path: String, spark: SparkSession): Unit

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    Attributes
    protected
    Definition Classes
    HasStorageModel → ParamsAndFeaturesWritable
  113. val outputAnnotatorType: AnnotatorType

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    Definition Classes
    ChunkEntityResolverModel → HasOutputAnnotatorType
  114. final val outputCol: Param[String]

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

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    Definition Classes
    Params
  116. var parent: Estimator[ChunkEntityResolverModel]

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    Definition Classes
    Model
  117. val poolingStrategy: Param[String]

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    pooling strategy to aggregate distances: AVERAGE or SUM

  118. var readers: Map[Name, StorageReader[_]]

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    Attributes
    protected
    Definition Classes
    HasStorageReader
  119. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  120. def saveStorage(path: String, spark: SparkSession, withinStorage: Boolean): Unit

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    Definition Classes
    HasStorageModel
  121. val searchTree: StructFeature[SerializableKDTree[TreeData]]

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    Search Tree.

    Search Tree. Under the hood encapsulates SerializableKDTree. Used to perform the search

  122. def serializeStorage(path: String, spark: SparkSession): Unit

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    Definition Classes
    HasStorageModel
  123. def set[T](feature: StructFeature[T], value: T): ChunkEntityResolverModel.this.type

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

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

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

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

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

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

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    Definition Classes
    Params
  130. def setAlternatives(a: Int): ChunkEntityResolverModel.this.type

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  131. def setCaseSensitive(value: Boolean): ChunkEntityResolverModel.this.type

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    Definition Classes
    HasCaseSensitiveProperties
  132. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): ChunkEntityResolverModel.this.type

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  138. def setDimension(value: Int): ChunkEntityResolverModel.this.type

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    Definition Classes
    HasEmbeddingsProperties
  139. def setDistanceFunction(value: String): ChunkEntityResolverModel.this.type

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  140. def setDistanceWeights(v: Array[Double]): ChunkEntityResolverModel.this.type

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  141. def setEnableJaccard(v: Boolean): ChunkEntityResolverModel.this.type

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  142. def setEnableJaroWinkler(v: Boolean): ChunkEntityResolverModel.this.type

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  143. def setEnableLevenshtein(v: Boolean): ChunkEntityResolverModel.this.type

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  144. def setEnableSorensenDice(v: Boolean): ChunkEntityResolverModel.this.type

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  145. def setEnableTfidf(v: Boolean): ChunkEntityResolverModel.this.type

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  146. def setEnableWmd(v: Boolean): ChunkEntityResolverModel.this.type

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  147. def setExtramassPenalty(emp: Double): ChunkEntityResolverModel.this.type

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  148. def setIncludeStorage(value: Boolean): ChunkEntityResolverModel.this.type

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    Definition Classes
    HasExcludableStorage
  149. final def setInputCols(value: String*): ChunkEntityResolverModel.this.type

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

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    Definition Classes
    HasInputAnnotationCols
  151. def setLazyAnnotator(value: Boolean): ChunkEntityResolverModel.this.type

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    Definition Classes
    CanBeLazy
  152. def setMissAsEmpty(v: Boolean): ChunkEntityResolverModel.this.type

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  153. def setNeighbours(k: Int): ChunkEntityResolverModel.this.type

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  154. final def setOutputCol(value: String): ChunkEntityResolverModel.this.type

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    Definition Classes
    HasOutputAnnotationCol
  155. def setParent(parent: Estimator[ChunkEntityResolverModel]): ChunkEntityResolverModel

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    Definition Classes
    Model
  156. def setPoolingStrategy(value: String): ChunkEntityResolverModel.this.type

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  157. def setSearchTree(tree: SerializableKDTree[TreeData]): ChunkEntityResolverModel.this.type

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  158. def setStorageRef(value: String): ChunkEntityResolverModel.this.type

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    Definition Classes
    HasStorageRef
  159. def setTermIDF(freqs: Map[String, (Int, Double)]): ChunkEntityResolverModel.this.type

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  160. def setThreshold(dist: Double): ChunkEntityResolverModel.this.type

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  161. val storageRef: Param[String]

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    Definition Classes
    HasStorageRef
  162. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  163. val termIDF: StructFeature[Map[String, (Int, Double)]]

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    Inverted Document Frequency of the term.

    Inverted Document Frequency of the term. Used in the TF-IDF method

  164. val threshold: DoubleParam

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    threshold value for the aggregated distance

  165. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  166. final def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    AnnotatorModel → Transformer
  167. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  168. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  169. final def transformSchema(schema: StructType): StructType

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    Definition Classes
    RawAnnotator → PipelineStage
  170. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    Definition Classes
    ChunkEntityResolverModel → Identifiable
  172. def validate(schema: StructType): Boolean

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    Attributes
    protected
    Definition Classes
    RawAnnotator
  173. def validateStorageRef(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): Unit

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    Definition Classes
    HasStorageRef
  174. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  177. def wrapColumnMetadata(col: Column): Column

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    Attributes
    protected
    Definition Classes
    RawAnnotator
  178. def wrapEmbeddingsMetadata(col: Column, embeddingsDim: Int, embeddingsRef: Option[String]): Column

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    Attributes
    protected
    Definition Classes
    HasEmbeddingsProperties
  179. def wrapSentenceEmbeddingsMetadata(col: Column, embeddingsDim: Int, embeddingsRef: Option[String]): Column

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    Attributes
    protected
    Definition Classes
    HasEmbeddingsProperties
  180. def write: MLWriter

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    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from Licensed

Inherited from HasEmbeddingsProperties

Inherited from HasStorageModel

Inherited from HasExcludableStorage

Inherited from HasStorageReader

Inherited from HasCaseSensitiveProperties

Inherited from HasStorageRef

Inherited from AnnotatorModel[ChunkEntityResolverModel]

Inherited from CanBeLazy

Inherited from RawAnnotator[ChunkEntityResolverModel]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[ChunkEntityResolverModel]

Inherited from Transformer

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