class ChunkMapperModel extends nlp.annotators.chunker.ChunkMapperModel

Linear Supertypes
nlp.annotators.chunker.ChunkMapperModel, HandleExceptionParams, ChunkMapperFuzzyMatchingParams, CheckLicense, HasSimpleAnnotate[nlp.annotators.chunker.ChunkMapperModel], AnnotatorModel[nlp.annotators.chunker.ChunkMapperModel], CanBeLazy, RawAnnotator[nlp.annotators.chunker.ChunkMapperModel], HasOutputAnnotationCol, HasInputAnnotationCols, HasOutputAnnotatorType, ParamsAndFeaturesWritable, HasFeatures, DefaultParamsWritable, MLWritable, Model[nlp.annotators.chunker.ChunkMapperModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ChunkMapperModel
  2. ChunkMapperModel
  3. HandleExceptionParams
  4. ChunkMapperFuzzyMatchingParams
  5. CheckLicense
  6. HasSimpleAnnotate
  7. AnnotatorModel
  8. CanBeLazy
  9. RawAnnotator
  10. HasOutputAnnotationCol
  11. HasInputAnnotationCols
  12. HasOutputAnnotatorType
  13. ParamsAndFeaturesWritable
  14. HasFeatures
  15. DefaultParamsWritable
  16. MLWritable
  17. Model
  18. Transformer
  19. PipelineStage
  20. Logging
  21. Params
  22. Serializable
  23. Serializable
  24. Identifiable
  25. AnyRef
  26. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Type Members

  1. type AnnotationContent = Seq[Row]
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  2. 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 _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  10. def afterAnnotate(dataset: DataFrame): DataFrame
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  11. val allowMultiTokenChunk: BooleanParam
    Definition Classes
    ChunkMapperModel
  12. def annotate(annotations: Seq[Annotation]): Seq[Annotation]
    Definition Classes
    ChunkMapperModelChunkMapperModel → HasSimpleAnnotate
  13. def appendSpecialRelations(mapping: Mapping): Map[String, Array[String]]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  14. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  15. def beforeAnnotate(dataset: Dataset[_]): Dataset[_]
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  16. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  17. def checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit
    Definition Classes
    CheckLicense
  18. def checkValidScope(scope: String): Unit
    Definition Classes
    CheckLicense
  19. def checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  20. def checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  21. final def clear(param: Param[_]): ChunkMapperModel.this.type
    Definition Classes
    Params
  22. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  23. def copy(extra: ParamMap): nlp.annotators.chunker.ChunkMapperModel
    Definition Classes
    RawAnnotator → Model → Transformer → PipelineStage → Params
  24. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  25. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  26. def dfAnnotate: UserDefinedFunction
    Definition Classes
    HasSimpleAnnotate
  27. 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
  28. val enableCharFingerprintMatching: BooleanParam

    Whether to apply char Ngram fingerprint matching

    Whether to apply char Ngram fingerprint matching

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  29. val enableFuzzyMatching: BooleanParam

    Whether to apply fuzzy matching

    Whether to apply fuzzy matching

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  30. val enableTokenFingerprintMatching: BooleanParam

    Whether to apply partial token Ngram fingerprint matching

    Whether to apply partial token Ngram fingerprint matching

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  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. def extraValidate(structType: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  36. def extraValidateMsg: String
    Attributes
    protected
    Definition Classes
    RawAnnotator
  37. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  38. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  39. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  40. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  41. def findSpecialRelations(relations: Map[String, Array[String]]): Map[String, Array[String]]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  42. val fuzzyDistanceScalingMode: Param[String]

    When enableFuzzyMatching is true, the scaling mode for Integer Edit Distances; possible values are: left, right, long, short, none

    When enableFuzzyMatching is true, the scaling mode for Integer Edit Distances; possible values are: left, right, long, short, none

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  43. val fuzzyMatchingDistanceThresholds: DoubleArrayParam

    When enableFuzzyMatching is true, this array contains the respective thresholds for each calculated distance

    When enableFuzzyMatching is true, this array contains the respective thresholds for each calculated distance

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  44. val fuzzyMatchingDistances: StringArrayParam

    When enableFuzzyMatching is true, this array contains the distances to calculate; possible values are: levenshtein, longest-common-subsequence, cosine, jaccard

    When enableFuzzyMatching is true, this array contains the distances to calculate; possible values are: levenshtein, longest-common-subsequence, cosine, jaccard

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  45. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  46. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  47. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  48. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  49. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  50. def getAllPossibleFingerprintPredictionKeys(annotationResult: String): Stream[(Double, String)]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  51. def getAllowMultiTokenChunk: Boolean
    Definition Classes
    ChunkMapperModel
  52. def getCharNgramFingerprints(mappingKey: String): Seq[String]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  53. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  54. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  55. def getDictionary: Map[String, Map[String, Array[String]]]
    Definition Classes
    ChunkMapperModel
  56. def getEnableCharFingerprintMatching: Boolean
  57. def getEnableFuzzyMatching: Boolean
  58. def getEnableTokenFingerprintMatching: Boolean
  59. def getFingerprintFuzzyDistances(leftTerm: String, rightTerm: String): Array[(String, Double)]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  60. def getFuzzyDistanceDictionaries(): (Map[String, (Integer) ⇒ EditDistance[Integer]], Map[String, EditDistance[Integer]], Map[String, EditDistance[Double]])
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  61. def getFuzzyDistanceScalingMode: String
  62. def getFuzzyDistanceValue(leftTerm: String, rightTerm: String, distRels: (String, Double), distDicts: (Map[String, (Integer) ⇒ EditDistance[Integer]], Map[String, EditDistance[Integer]], Map[String, EditDistance[Double]])): Option[Double]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  63. def getFuzzyMatches(dictionary: Map[String, Map[String, Array[String]]], annotationResult: String): Map[Double, Map[String, Array[String]]]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  64. def getFuzzyMatchingDistanceThresholds: Array[Double]
  65. def getFuzzyMatchingDistances: Array[String]
  66. def getInputCols: Array[String]
    Definition Classes
    HasInputAnnotationCols
  67. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  68. def getLowerCase: Boolean
  69. def getMaxCharNgramFingerprint: Int
  70. def getMaxTokenNgramDroppingCharsRatio: Double
  71. def getMaxTokenNgramDroppingOperator: String
  72. def getMaxTokenNgramDroppingTokens: Int
  73. def getMaxTokenNgramFingerprint: Int
  74. def getMinCharNgramFingerprint: Int
  75. def getMinTokenNgramFingerprint: Int
  76. def getMultivaluesRelations: Boolean
    Definition Classes
    ChunkMapperModel
  77. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  78. final def getOutputCol: String
    Definition Classes
    HasOutputAnnotationCol
  79. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  80. def getPossibleFingerprintPredictionKeys(annotationResult: String): Stream[(Double, String)]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  81. def getPossibleFingerprintTrainingKeys(keys: Mappings): Map[String, Map[String, Array[String]]]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  82. def getRel: String
    Definition Classes
    ChunkMapperModel
  83. def getRels: Array[String]
    Definition Classes
    ChunkMapperModel
  84. def getTokenNgramFingerprints(mappingKey: String): Seq[String]
    Attributes
    protected
    Definition Classes
    ChunkMapperFuzzyMatchingParams
  85. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  86. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  87. def hasParent: Boolean
    Definition Classes
    Model
  88. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  89. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  90. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  91. val inputAnnotatorTypes: Array[String]
    Definition Classes
    ChunkMapperModel → HasInputAnnotationCols
  92. final val inputCols: StringArrayParam
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  93. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  94. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  95. lazy val isLowerCase: Boolean
  96. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  97. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  98. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  99. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  100. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  101. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  102. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  103. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  104. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  105. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  106. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  107. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  108. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  109. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  110. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  111. val lowerCase: BooleanParam

  112. val maxCharNgramFingerprint: IntParam

    When enableCharFingerprintMatching is true, the max number of chars for Ngrams in Fingerprint

    When enableCharFingerprintMatching is true, the max number of chars for Ngrams in Fingerprint

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  113. val maxTokenNgramDroppingCharsRatio: DoubleParam

    When enableTokenFingerprintMatching is true, this value drives the maximum ratio of chars allowed to be dropped from the full chunk; whenever it is desired for all Ngrams to be used as keys, no matter how short the final chunk is, this param should be set to 1.0

    When enableTokenFingerprintMatching is true, this value drives the maximum ratio of chars allowed to be dropped from the full chunk; whenever it is desired for all Ngrams to be used as keys, no matter how short the final chunk is, this param should be set to 1.0

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  114. val maxTokenNgramDroppingOperator: Param[String]

    When enableTokenFingerprintMatching is true, this param drives the logic to compose both dropping parameters; it can be either "and" or "or"

    When enableTokenFingerprintMatching is true, this param drives the logic to compose both dropping parameters; it can be either "and" or "or"

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  115. val maxTokenNgramDroppingTokens: IntParam

    When enableTokenFingerprintMatching is true, this value drives the maximum number of tokens allowed to be dropped from the full chunk; whenever it is desired for all Ngrams to be used as keys, no matter how short the final chunk is, this param should be set to a very high value: i.e Int.MaxValue

    When enableTokenFingerprintMatching is true, this value drives the maximum number of tokens allowed to be dropped from the full chunk; whenever it is desired for all Ngrams to be used as keys, no matter how short the final chunk is, this param should be set to a very high value: i.e Int.MaxValue

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  116. val maxTokenNgramFingerprint: IntParam

    When enableTokenFingerprintMatching is true, the max number of tokens for partial Ngrams in Fingerprint

    When enableTokenFingerprintMatching is true, the max number of tokens for partial Ngrams in Fingerprint

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  117. val minCharNgramFingerprint: IntParam

    When enableCharFingerprintMatching is true, the min number of chars for Ngrams in Fingerprint

    When enableCharFingerprintMatching is true, the min number of chars for Ngrams in Fingerprint

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  118. val minTokenNgramFingerprint: IntParam

    When enableTokenFingerprintMatching is true, the min number of tokens for partial Ngrams in Fingerprint

    When enableTokenFingerprintMatching is true, the min number of tokens for partial Ngrams in Fingerprint

    Definition Classes
    ChunkMapperFuzzyMatchingParams
  119. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  120. def multiGet(map: Map[String, Map[String, Array[String]]], keys: Stream[(Double, String)]): Option[(Double, Map[String, Array[String]])]
    Definition Classes
    ChunkMapperModel
  121. val multivaluesRelations: BooleanParam
    Definition Classes
    ChunkMapperModel
  122. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  123. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  124. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  125. def onWrite(path: String, spark: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesWritable
  126. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  127. val outputAnnotatorType: AnnotatorType
    Definition Classes
    ChunkMapperModel → HasOutputAnnotatorType
  128. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  129. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  130. var parent: Estimator[nlp.annotators.chunker.ChunkMapperModel]
    Definition Classes
    Model
  131. lazy val realizedFilledDistancesAndThresholds: Array[(String, Double)]
  132. val rels: StringArrayParam
    Definition Classes
    ChunkMapperModel
  133. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  134. def set[T](feature: StructFeature[T], value: T): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  135. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  136. def set[T](feature: SetFeature[T], value: Set[T]): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  137. def set[T](feature: ArrayFeature[T], value: Array[T]): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  138. final def set(paramPair: ParamPair[_]): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  139. final def set(param: String, value: Any): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  140. final def set[T](param: Param[T], value: T): ChunkMapperModel.this.type
    Definition Classes
    Params
  141. def setAllowMultiTokenChunk(lc: Boolean): ChunkMapperModel.this.type
    Definition Classes
    ChunkMapperModel
  142. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  143. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  144. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  145. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  146. final def setDefault(paramPairs: ParamPair[_]*): ChunkMapperModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  147. final def setDefault[T](param: Param[T], value: T): ChunkMapperModel.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  148. def setDictionary(m: Map[String, Map[String, Array[String]]]): ChunkMapperModel.this.type
    Definition Classes
    ChunkMapperModel
  149. def setDoExceptionHandling(value: Boolean): ChunkMapperModel.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
  150. def setEnableCharFingerprintMatching(value: Boolean): ChunkMapperModel.this.type
  151. def setEnableFuzzyMatching(value: Boolean): ChunkMapperModel.this.type
  152. def setEnableTokenFingerprintMatching(value: Boolean): ChunkMapperModel.this.type
  153. def setFuzzyDistanceScalingMode(value: String): ChunkMapperModel.this.type
  154. def setFuzzyMatchingDistanceThresholds(value: Double): ChunkMapperModel.this.type
  155. def setFuzzyMatchingDistanceThresholds(value: Array[Double]): ChunkMapperModel.this.type
  156. def setFuzzyMatchingDistances(value: Array[String]): ChunkMapperModel.this.type
  157. final def setInputCols(value: String*): ChunkMapperModel.this.type
    Definition Classes
    HasInputAnnotationCols
  158. def setInputCols(value: Array[String]): ChunkMapperModel.this.type
    Definition Classes
    HasInputAnnotationCols
  159. def setLazyAnnotator(value: Boolean): ChunkMapperModel.this.type
    Definition Classes
    CanBeLazy
  160. def setLowerCase(lc: Boolean): ChunkMapperModel.this.type
  161. def setMaxCharNgramFingerprint(value: Int): ChunkMapperModel.this.type
  162. def setMaxTokenNgramDroppingCharsRatio(value: Double): ChunkMapperModel.this.type
  163. def setMaxTokenNgramDroppingOperator(value: String): ChunkMapperModel.this.type
  164. def setMaxTokenNgramDroppingTokens(value: Int): ChunkMapperModel.this.type
  165. def setMaxTokenNgramFingerprint(value: Int): ChunkMapperModel.this.type
  166. def setMinCharNgramFingerprint(value: Int): ChunkMapperModel.this.type
  167. def setMinTokenNgramFingerprint(value: Int): ChunkMapperModel.this.type
  168. def setMultivaluesRelations(lc: Boolean): ChunkMapperModel.this.type
    Definition Classes
    ChunkMapperModel
  169. final def setOutputCol(value: String): ChunkMapperModel.this.type
    Definition Classes
    HasOutputAnnotationCol
  170. def setParent(parent: Estimator[nlp.annotators.chunker.ChunkMapperModel]): nlp.annotators.chunker.ChunkMapperModel
    Definition Classes
    Model
  171. def setRels(value: Array[String]): ChunkMapperModel.this.type
    Definition Classes
    ChunkMapperModel
  172. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  173. lazy val toLowercase: (String) ⇒ String
  174. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  175. final def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    AnnotatorModel → Transformer
  176. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  177. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  178. final def transformSchema(schema: StructType): StructType
    Definition Classes
    RawAnnotator → PipelineStage
  179. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  180. val uid: String
    Definition Classes
    ChunkMapperModelChunkMapperModel → Identifiable
  181. def validate(schema: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  182. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  183. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  184. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  185. def wrapColumnMetadata(col: Column): Column
    Attributes
    protected
    Definition Classes
    RawAnnotator
  186. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Deprecated Value Members

  1. val rel: Param[String]
    Definition Classes
    ChunkMapperModel
    Annotations
    @deprecated
    Deprecated
  2. def setRel(value: String): ChunkMapperModel.this.type
    Definition Classes
    ChunkMapperModel
    Annotations
    @deprecated
    Deprecated

    Use 'setRels' method instead of 'setRel' method

Inherited from HandleExceptionParams

Inherited from CheckLicense

Inherited from HasSimpleAnnotate[nlp.annotators.chunker.ChunkMapperModel]

Inherited from AnnotatorModel[nlp.annotators.chunker.ChunkMapperModel]

Inherited from CanBeLazy

Inherited from RawAnnotator[nlp.annotators.chunker.ChunkMapperModel]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

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

param

setParam

Ungrouped