Class

com.johnsnowlabs.nlp.annotators.merge

ChunkMergeApproach

Related Doc: package merge

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class ChunkMergeApproach extends AnnotatorApproach[ChunkMergeModel] with Licensed

Merges entities coming from different CHUNK annotations

Linear Supertypes
Licensed, AnnotatorApproach[ChunkMergeModel], CanBeLazy, DefaultParamsWritable, MLWritable, HasOutputAnnotatorType, HasOutputAnnotationCol, HasInputAnnotationCols, Estimator[ChunkMergeModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ChunkMergeApproach
  2. Licensed
  3. AnnotatorApproach
  4. CanBeLazy
  5. DefaultParamsWritable
  6. MLWritable
  7. HasOutputAnnotatorType
  8. HasOutputAnnotationCol
  9. HasInputAnnotationCols
  10. Estimator
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ChunkMergeApproach()

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  2. new ChunkMergeApproach(uid: String)

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    uid

    a unique identifier for the instanced AnnotatorModel

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

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

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    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  6. final def asInstanceOf[T0]: T0

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

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    Definition Classes
    AnnotatorApproach
  8. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

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

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    Definition Classes
    Params
  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. final def copy(extra: ParamMap): Estimator[ChunkMergeModel]

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

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

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    Attributes
    protected
    Definition Classes
    Params
  14. val description: String

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    Definition Classes
    ChunkMergeApproach → AnnotatorApproach
  15. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  18. def explainParams(): String

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

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

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    Definition Classes
    Params
  21. val falsePositivesResource: ExternalResourceParam

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    dictionary with regular expression patterns that match some protected entity

  22. def finalize(): Unit

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

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

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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  27. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  28. final def getClass(): Class[_]

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

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    Definition Classes
    Params
  30. def getInputCols: Array[String]

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    Definition Classes
    HasInputAnnotationCols
  31. def getLazyAnnotator: Boolean

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    Definition Classes
    CanBeLazy
  32. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  33. final def getOutputCol: String

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

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    Definition Classes
    Params
  35. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  37. def hashCode(): Int

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  40. val inputAnnotatorTypes: Array[AnnotatorType]

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    Definition Classes
    ChunkMergeApproach → HasInputAnnotationCols
  41. final val inputCols: StringArrayParam

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

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

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

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    Definition Classes
    Params
  45. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  46. val lazyAnnotator: BooleanParam

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    Definition Classes
    CanBeLazy
  47. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  54. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  59. def msgHelper(schema: StructType): String

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

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    Definition Classes
    AnyRef
  61. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  63. def onTrained(model: ChunkMergeModel, spark: SparkSession): Unit

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    Definition Classes
    AnnotatorApproach
  64. val outputAnnotatorType: AnnotatorType

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    Definition Classes
    ChunkMergeApproach → HasOutputAnnotatorType
  65. final val outputCol: Param[String]

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

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    Definition Classes
    Params
  67. val replaceDictResource: ExternalResourceParam

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  68. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  69. final def set(paramPair: ParamPair[_]): ChunkMergeApproach.this.type

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

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

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    Definition Classes
    Params
  72. final def setDefault(paramPairs: ParamPair[_]*): ChunkMergeApproach.this.type

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

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    Attributes
    protected
    Definition Classes
    Params
  74. def setFalsePositivesResource(path: String, readAs: Format = ReadAs.TEXT, options: Map[String, String] = Map("delimiter" -> ",")): ChunkMergeApproach.this.type

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  75. def setFalsePositivesResource(path: ExternalResource): ChunkMergeApproach.this.type

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  76. final def setInputCols(value: String*): ChunkMergeApproach.this.type

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

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    Definition Classes
    HasInputAnnotationCols
  78. def setLazyAnnotator(value: Boolean): ChunkMergeApproach.this.type

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    Definition Classes
    CanBeLazy
  79. final def setOutputCol(value: String): ChunkMergeApproach.this.type

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    Definition Classes
    HasOutputAnnotationCol
  80. def setReplaceDictResource(path: String, readAs: Format = ReadAs.TEXT, options: Map[String, String] = Map("delimiter" -> ",")): ChunkMergeApproach.this.type

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  81. def setReplaceDictResource(path: ExternalResource): ChunkMergeApproach.this.type

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

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    Definition Classes
    AnyRef
  83. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  84. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): ChunkMergeModel

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    Definition Classes
    ChunkMergeApproach → AnnotatorApproach
  85. def transformReplaceDict(replaceDict: Array[(String, String)]): Map[String, String]

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  86. final def transformSchema(schema: StructType): StructType

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

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

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    a unique identifier for the instanced AnnotatorModel

    a unique identifier for the instanced AnnotatorModel

    Definition Classes
    ChunkMergeApproach → Identifiable
  89. def validate(schema: StructType): Boolean

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

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

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

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

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from Licensed

Inherited from AnnotatorApproach[ChunkMergeModel]

Inherited from CanBeLazy

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputAnnotatorType

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from Estimator[ChunkMergeModel]

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