class ChunkFiltererApproach extends AnnotatorApproach[ChunkFilterer] with HasFeatures with FilteringParams with HandleExceptionParams with CheckLicense

Trains a ChunkFilterer annotator. ChunkFiltererApproach can filter chunks coming from CHUNK annotations. Filters can be set via white list and black list or a regular expression. White list criteria is enabled by default. To use regex, criteria has to be set to regex. Additionally, It can filter chunks according to the confidence of the chunk in the metadata.

Example

Filtering POS tags

First pipeline stages to extract the POS tags are defined

val data = Seq("Has a past history of gastroenteritis and stomach pain, however patient ...").toDF("text")
val docAssembler = new DocumentAssembler().setInputCol("text").setOutputCol("document")
val sentenceDetector = new SentenceDetector().setInputCols("document").setOutputCol("sentence")
val tokenizer = new Tokenizer().setInputCols("sentence").setOutputCol("token")

val posTagger = PerceptronModel.pretrained()
  .setInputCols("sentence", "token")
  .setOutputCol("pos")

val chunker = new Chunker()
  .setInputCols("pos", "sentence")
  .setOutputCol("chunk")
  .setRegexParsers(Array("(<NN>)+"))

Then the chunks can be filtered via a white list. Here only terms with "gastroenteritis" remain.

val chunkerFilter = new ChunkFiltererApproach()
  .setInputCols("sentence","chunk")
  .setOutputCol("filtered")
  .setCriteria("isin")
  .setWhiteList("gastroenteritis")

val pipeline = new Pipeline().setStages(Array(
  docAssembler,
  sentenceDetector,
  tokenizer,
  posTagger,
  chunker,
  chunkerFilter))

result.selectExpr("explode(chunk)").show(truncate=false)
+---------------------------------------------------------------------------------+
|col                                                                              |
+---------------------------------------------------------------------------------+
|{chunk, 11, 17, history, {sentence -> 0, chunk -> 0}, []}                        |
|{chunk, 22, 36, gastroenteritis, {sentence -> 0, chunk -> 1}, []}                |
|{chunk, 42, 53, stomach pain, {sentence -> 0, chunk -> 2}, []}                   |
|{chunk, 64, 70, patient, {sentence -> 0, chunk -> 3}, []}                        |
|{chunk, 81, 110, stomach pain now.We don't care, {sentence -> 0, chunk -> 4}, []}|
|{chunk, 118, 132, gastroenteritis, {sentence -> 0, chunk -> 5}, []}              |
+---------------------------------------------------------------------------------+

result.selectExpr("explode(filtered)").show(truncate=false)
+-------------------------------------------------------------------+
|col                                                                |
+-------------------------------------------------------------------+
|{chunk, 22, 36, gastroenteritis, {sentence -> 0, chunk -> 1}, []}  |
|{chunk, 118, 132, gastroenteritis, {sentence -> 0, chunk -> 5}, []}|
+-------------------------------------------------------------------+
Linear Supertypes
CheckLicense, HandleExceptionParams, FilteringParams, HasFeatures, AnnotatorApproach[ChunkFilterer], CanBeLazy, DefaultParamsWritable, MLWritable, HasOutputAnnotatorType, HasOutputAnnotationCol, HasInputAnnotationCols, Estimator[ChunkFilterer], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ChunkFiltererApproach
  2. CheckLicense
  3. HandleExceptionParams
  4. FilteringParams
  5. HasFeatures
  6. AnnotatorApproach
  7. CanBeLazy
  8. DefaultParamsWritable
  9. MLWritable
  10. HasOutputAnnotatorType
  11. HasOutputAnnotationCol
  12. HasInputAnnotationCols
  13. Estimator
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ChunkFiltererApproach()
  2. new ChunkFiltererApproach(uid: String)

    uid

    a unique identifier for the instantiated AnnotatorModel

Type Members

  1. type AnnotatorType = String
    Definition Classes
    HasOutputAnnotatorType

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. def $$[T](feature: StructFeature[T]): T
    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]
    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def _fit(dataset: Dataset[_], recursiveStages: Option[PipelineModel]): ChunkFilterer
    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. def beforeTraining(spark: SparkSession): Unit
    Definition Classes
    AnnotatorApproach
  12. val blackList: StringArrayParam

    If defined, list of entities to ignore.

    If defined, list of entities to ignore. The rest will be processed

    Definition Classes
    FilteringParams
  13. val caseSensitive: BooleanParam

    Determines whether the definitions of the white listed and black listed entities are case sensitive or not.

    Determines whether the definitions of the white listed and black listed entities are case sensitive or not. If the filterValue is 'entity', 'caseSensitive' is always false. The default value is true, except: com.johnsnowlabs.nlp.annotators.chunker.AssertionFilterer

    Definition Classes
    FilteringParams
  14. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  15. def checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit
    Definition Classes
    CheckLicense
  16. def checkValidScope(scope: String): Unit
    Definition Classes
    CheckLicense
  17. def checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  18. def checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  19. final def clear(param: Param[_]): ChunkFiltererApproach.this.type
    Definition Classes
    Params
  20. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  21. final def copy(extra: ParamMap): Estimator[ChunkFilterer]
    Definition Classes
    AnnotatorApproach → Estimator → PipelineStage → Params
  22. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  23. val criteria: Param[String]

    It is used to how to compare black and white listed values with the result of the Annotation.

    It is used to how to compare black and white listed values with the result of the Annotation. Possible values are the following: 'isin', 'regex'. Default: isin

    • isin : Filter by the chunk
    • regex : Filter by using a regex
    Definition Classes
    FilteringParams
  24. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  25. val description: String
    Definition Classes
    ChunkFiltererApproach → AnnotatorApproach
  26. val doExceptionHandling: BooleanParam

    If true, exceptions are handled.

    If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.

    Definition Classes
    HandleExceptionParams
  27. val entitiesConfidence: MapFeature[String, Float]

    Pairs (entity,confidenceThreshold).

    Pairs (entity,confidenceThreshold). Filter the chunks with entities which have confidence lower than the confidence threshold.

    Definition Classes
    FilteringParams
  28. lazy val entitiesConfidenceMap: Map[String, Float]
    Definition Classes
    FilteringParams
  29. val entitiesConfidenceResource: ExternalResourceParam

    Path to csv with entity pairs to remove chunks based on the confidance level

  30. val entitiesConfidenceResourceAsJsonString: Param[String]

    string given as JSON with entity pairs to remove chunks based on the confidence level

  31. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  32. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  33. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  34. def explainParams(): String
    Definition Classes
    Params
  35. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  36. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  37. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  38. val filterValue: Param[String]

    Possible values are 'result' and 'entity'.

    Possible values are 'result' and 'entity'. If the value is 'entity', it filters the ner chunks by the ner label that you want to filter. If the value is 'result', it will filter chunks by the result of the Annotation.

    Definition Classes
    FilteringParams
  39. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  40. final def fit(dataset: Dataset[_]): ChunkFilterer
    Definition Classes
    AnnotatorApproach → Estimator
  41. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[ChunkFilterer]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  42. def fit(dataset: Dataset[_], paramMap: ParamMap): ChunkFilterer
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  43. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ChunkFilterer
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  44. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  45. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  46. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  47. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  48. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  49. def getBlackList: Array[String]

    Gets blackList parameter

    Gets blackList parameter

    Definition Classes
    FilteringParams
  50. def getCaseSensitive: Boolean

    Gets caseSensitive parameter

    Gets caseSensitive parameter

    Definition Classes
    FilteringParams
  51. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  52. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  53. def getEntitiesConfidenceResourceAsJsonString: String
  54. def getInputCols: Array[String]
    Definition Classes
    HasInputAnnotationCols
  55. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  56. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  57. final def getOutputCol: String
    Definition Classes
    HasOutputAnnotationCol
  58. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  59. def getWhiteList: Array[String]

    Gets whiteList parameter

    Gets whiteList parameter

    Definition Classes
    FilteringParams
  60. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  61. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  62. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  63. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  64. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. val inputAnnotatorTypes: Array[AnnotatorType]

    Input annotator types: DOCUMENT,CHUNK

    Input annotator types: DOCUMENT,CHUNK

    Definition Classes
    ChunkFiltererApproach → HasInputAnnotationCols
  66. final val inputCols: StringArrayParam
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  67. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  68. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  69. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  70. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  71. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  72. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  73. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  80. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  81. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  82. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  83. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  85. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  86. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  87. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  88. def onTrained(model: ChunkFilterer, spark: SparkSession): Unit
    Definition Classes
    AnnotatorApproach
  89. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  90. val outputAnnotatorType: AnnotatorType

    Output annotator types: CHUNK

    Output annotator types: CHUNK

    Definition Classes
    ChunkFiltererApproach → HasOutputAnnotatorType
  91. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  92. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  93. val regex: StringArrayParam

    If defined, list of regex to process the chunks (Default: Array())

    If defined, list of regex to process the chunks (Default: Array())

    Definition Classes
    FilteringParams
  94. def resolveFilter(chunkerAnnotations: Seq[Annotation]): Seq[Annotation]
    Attributes
    protected
    Definition Classes
    FilteringParams
  95. def resolveMergeFilter(a: Annotation, entityValue: String, falsePositivesArray: Array[(String, String, String)], replaceDictMap: Map[String, String] = Map.empty): Option[Annotation]
    Attributes
    protected
    Definition Classes
    FilteringParams
  96. def resolveWhiteListBlackListFilter(annotations: Seq[Annotation]): Seq[Annotation]
    Attributes
    protected
    Definition Classes
    FilteringParams
  97. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  98. def set[T](feature: StructFeature[T], value: T): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  99. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  100. def set[T](feature: SetFeature[T], value: Set[T]): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  101. def set[T](feature: ArrayFeature[T], value: Array[T]): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  102. final def set(paramPair: ParamPair[_]): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    Params
  103. final def set(param: String, value: Any): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    Params
  104. final def set[T](param: Param[T], value: T): ChunkFiltererApproach.this.type
    Definition Classes
    Params
  105. def setAllowList(list: String*): ChunkFiltererApproach.this.type
    Definition Classes
    FilteringParams
  106. def setAllowList(list: Array[String]): ChunkFiltererApproach.this.type
    Definition Classes
    FilteringParams
  107. def setBlackList(list: String*): ChunkFiltererApproach.this.type
    Definition Classes
    FilteringParams
  108. def setBlackList(list: Array[String]): ChunkFiltererApproach.this.type

    If defined, list of entities to ignore.

    If defined, list of entities to ignore. The rest will be processed.

    Definition Classes
    FilteringParams
  109. def setCaseSensitive(value: Boolean): ChunkFiltererApproach.this.type

    Determines whether the definitions of the white listed and black listed entities are case sensitive or not.

    Determines whether the definitions of the white listed and black listed entities are case sensitive or not. If the filterValue is 'entity', 'caseSensitive' is always False. The default value is true, except: com.johnsnowlabs.nlp.annotators.chunker.AssertionFilterer

    Definition Classes
    FilteringParams
  110. def setCriteria(s: String): ChunkFiltererApproach.this.type

    Sets criteria for how to compare black and white listed values with the result of the Annotation.

    Sets criteria for how to compare black and white listed values with the result of the Annotation. Possible values are the following: 'isin', 'regex'. Default: isin.

    Definition Classes
    FilteringParams
  111. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  112. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  113. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  114. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  115. final def setDefault(paramPairs: ParamPair[_]*): ChunkFiltererApproach.this.type
    Attributes
    protected
    Definition Classes
    Params
  116. final def setDefault[T](param: Param[T], value: T): ChunkFiltererApproach.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  117. def setDenyList(list: String*): ChunkFiltererApproach.this.type
    Definition Classes
    FilteringParams
  118. def setDenyList(list: Array[String]): ChunkFiltererApproach.this.type
    Definition Classes
    FilteringParams
  119. def setDoExceptionHandling(value: Boolean): ChunkFiltererApproach.this.type

    If true, exceptions are handled.

    If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.

    Definition Classes
    HandleExceptionParams
  120. def setEntitiesConfidence(value: Map[String, Float]): ChunkFiltererApproach.this.type

    Unsupported method in ChunkFiltererApproach @throw RuntimeException

    Unsupported method in ChunkFiltererApproach @throw RuntimeException

    Definition Classes
    ChunkFiltererApproach → FilteringParams
  121. def setEntitiesConfidenceResourceAsJsonString(json: String): ChunkFiltererApproach.this.type

    Sets entitiesConfidenceResource parameter with string given as JSON

    Sets entitiesConfidenceResource parameter with string given as JSON

    json

    string given as JSON format

  122. def setFilterEntity(v: String): ChunkFiltererApproach.this.type

    Possible values are 'result' and 'entity'.

    Possible values are 'result' and 'entity'. If the value is 'entity', it filters the ner chunks by the ner label that you want to filter. If the value is 'result', it will filter chunks by the result of the Annotation.

    Definition Classes
    FilteringParams
  123. final def setInputCols(value: String*): ChunkFiltererApproach.this.type
    Definition Classes
    HasInputAnnotationCols
  124. def setInputCols(value: Array[String]): ChunkFiltererApproach.this.type
    Definition Classes
    HasInputAnnotationCols
  125. def setLazyAnnotator(value: Boolean): ChunkFiltererApproach.this.type
    Definition Classes
    CanBeLazy
  126. final def setOutputCol(value: String): ChunkFiltererApproach.this.type
    Definition Classes
    HasOutputAnnotationCol
  127. def setRegex(list: String*): ChunkFiltererApproach.this.type

    Sets the list of regexes to process the chunks.

    Sets the list of regexes to process the chunks.

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

    Sets the entitiesConfidenceResource parameter.

  129. def setWhiteList(list: String*): ChunkFiltererApproach.this.type
    Definition Classes
    FilteringParams
  130. def setWhiteList(list: Array[String]): ChunkFiltererApproach.this.type

    Sets the list of entities to process.

    Sets the list of entities to process. The rest will be ignored. Do not include IOB prefix on labels.

    Definition Classes
    FilteringParams
  131. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  132. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  133. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): ChunkFilterer
    Definition Classes
    ChunkFiltererApproach → AnnotatorApproach
  134. final def transformSchema(schema: StructType): StructType
    Definition Classes
    AnnotatorApproach → PipelineStage
  135. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  136. val uid: String
    Definition Classes
    ChunkFiltererApproach → Identifiable
  137. def validate(schema: StructType): Boolean
    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  138. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  139. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  140. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  141. val whiteList: StringArrayParam

    If defined, list of entities to process.

    If defined, list of entities to process. The rest will be ignored. Does not include IOB prefix on labels (Default: Array())

    Definition Classes
    FilteringParams
  142. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from CheckLicense

Inherited from HandleExceptionParams

Inherited from FilteringParams

Inherited from HasFeatures

Inherited from AnnotatorApproach[ChunkFilterer]

Inherited from CanBeLazy

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputAnnotatorType

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from Estimator[ChunkFilterer]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

Annotator types

Required input and expected output annotator types

Members

Parameter setters

Parameter getters