NerCrfApproach

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. val annotatorType: String

   

   Definition Classes

   NerCrfApproach → HasAnnotatorType

10. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

11. def beforeTraining(spark: SparkSession): Unit

    

    Definition Classes

    ApproachWithWordEmbeddings → AnnotatorApproach

12. val c0: IntParam

    

13. val caseSensitiveEmbeddings: BooleanParam

    

    Definition Classes

    HasEmbeddings

14. final def clear(param: Param[_]): NerCrfApproach.this.type

    

    Definition Classes

    Params

15. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

16. def close(): Unit

    

    Definition Classes

    HasEmbeddings → AutoCloseable

17. final def copy(extra: ParamMap): Estimator[NerCrfModel]

    

    Definition Classes

    AnnotatorApproach → Estimator → PipelineStage → Params

18. def copyValues[T <: Params](to: T, extra: ParamMap): T

    

    Attributes

    protected

    Definition Classes

    Params

19. final def defaultCopy[T <: Params](extra: ParamMap): T

    

    Attributes

    protected

    Definition Classes

    Params

20. val description: String

    

    Definition Classes

    NerCrfApproach → AnnotatorApproach

21. val embeddingsDim: IntParam

    

    Definition Classes

    HasEmbeddings

22. val embeddingsFormat: IntParam

    

    Definition Classes

    ApproachWithWordEmbeddings

23. val embeddingsRef: Param[String]

    

    Definition Classes

    HasEmbeddings

24. val entities: StringArrayParam

    

    Definition Classes

    NerApproach

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

    

    Definition Classes

    AnyRef

26. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

27. def explainParam(param: Param[_]): String

    

    Definition Classes

    Params

28. def explainParams(): String

    

    Definition Classes

    Params

29. val externalDataset: ExternalResourceParam

    

    Definition Classes

    NerApproach

30. val externalFeatures: ExternalResourceParam

    

31. def extraValidate(structType: StructType): Boolean

    

    Attributes

    protected

    Definition Classes

    AnnotatorApproach

32. def extraValidateMsg: String

    

    Override for additional custom schema checks

    Override for additional custom schema checks

    Attributes

    protected

    Definition Classes

    AnnotatorApproach

33. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

34. final def extractParamMap(extra: ParamMap): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    HasFeatures

36. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

37. final def fit(dataset: Dataset[_]): NerCrfModel

    

    Definition Classes

    AnnotatorApproach → Estimator

38. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[NerCrfModel]

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

39. def fit(dataset: Dataset[_], paramMap: ParamMap): NerCrfModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

40. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): NerCrfModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

41. def get[T](feature: StructFeature[T]): Option[T]

    

    Attributes

    protected

    Definition Classes

    HasFeatures

42. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]

    

    Attributes

    protected

    Definition Classes

    HasFeatures

43. def get[T](feature: SetFeature[T]): Option[Set[T]]

    

    Attributes

    protected

    Definition Classes

    HasFeatures

44. def get[T](feature: ArrayFeature[T]): Option[Array[T]]

    

    Attributes

    protected

    Definition Classes

    HasFeatures

45. final def get[T](param: Param[T]): Option[T]

    

    Definition Classes

    Params

46. def getCaseSensitiveEmbeddings: Boolean

    

    Definition Classes

    HasEmbeddings

47. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

48. def getClusterEmbeddings: ClusterWordEmbeddings

    

    Definition Classes

    HasEmbeddings

49. final def getDefault[T](param: Param[T]): Option[T]

    

    Definition Classes

    Params

50. def getEmbeddingsDim: Int

    

    Definition Classes

    HasEmbeddings

51. def getEmbeddingsRef: String

    

    Definition Classes

    HasEmbeddings

52. def getIncludeEmbeddings: Boolean

    

    Definition Classes

    HasEmbeddings

53. final def getInputCols: Array[String]

    
    returns

    input annotations columns currently used

    Definition Classes

    HasInputAnnotationCols

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

    

    Definition Classes

    Params

55. final def getOutputCol: String

    

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes

    HasOutputAnnotationCol

56. def getParam(paramName: String): Param[Any]

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

58. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

59. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

60. val includeEmbeddings: BooleanParam

    

    Definition Classes

    HasEmbeddings

61. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

62. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

63. final val inputCols: StringArrayParam

    

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    Attributes

    protected

    Definition Classes

    HasInputAnnotationCols

64. final def isDefined(param: Param[_]): Boolean

    

    Definition Classes

    Params

65. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

66. final def isSet(param: Param[_]): Boolean

    

    Definition Classes

    Params

67. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

68. val l2: DoubleParam

    

69. val labelColumn: Param[String]

    

    Definition Classes

    NerApproach

70. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

71. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

72. def logDebug(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

73. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

74. def logError(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

75. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

76. def logInfo(msg: ⇒ String): Unit

    

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    protected

    Definition Classes

    Logging

77. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

78. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

79. def logTrace(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

80. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

81. def logWarning(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

82. val lossEps: DoubleParam

    

83. val maxEpochs: IntParam

    

    Definition Classes

    NerApproach

84. val minEpochs: IntParam

    

    Definition Classes

    NerApproach

85. val minW: DoubleParam

    

86. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

87. final def notify(): Unit

    

    Definition Classes

    AnyRef

88. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

89. def onTrained(model: NerCrfModel, spark: SparkSession): Unit

    

    Definition Classes

    ApproachWithWordEmbeddings → AnnotatorApproach

90. def onWrite(path: String, spark: SparkSession): Unit

    

    Definition Classes

    ParamsAndFeaturesWritable

91. final val outputCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasOutputAnnotationCol

92. lazy val params: Array[Param[_]]

    

    Definition Classes

    Params

93. val randomSeed: IntParam

    

    Definition Classes

    NerApproach

94. final def recursiveFit(dataset: Dataset[_], recursivePipeline: PipelineModel): NerCrfModel

    

    Definition Classes

    HasRecursiveFit

95. val requiredAnnotatorTypes: Array[String]

    

    Annotator reference id.

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

    Definition Classes

    NerCrfApproach → HasInputAnnotationCols

96. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

    @Since( "1.6.0" ) @throws( ... )

97. def set[T](feature: StructFeature[T], value: T): NerCrfApproach.this.type

    

    Attributes

    protected

    Definition Classes

    HasFeatures

98. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): NerCrfApproach.this.type

    

    Attributes

    protected

    Definition Classes

    HasFeatures

99. def set[T](feature: SetFeature[T], value: Set[T]): NerCrfApproach.this.type

    

    Attributes

    protected

    Definition Classes

    HasFeatures

100. def set[T](feature: ArrayFeature[T], value: Array[T]): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     HasFeatures

101. final def set(paramPair: ParamPair[_]): NerCrfApproach.this.type

     

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     protected

     Definition Classes

     Params

102. final def set(param: String, value: Any): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     Params

103. final def set[T](param: Param[T], value: T): NerCrfApproach.this.type

     

     Definition Classes

     Params

104. def setC0(c0: Int): NerCrfApproach

     

105. def setCaseSensitiveEmbeddings(value: Boolean): NerCrfApproach.this.type

     

     Definition Classes

     HasEmbeddings

106. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     HasFeatures

107. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     HasFeatures

108. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     HasFeatures

109. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     HasFeatures

110. final def setDefault(paramPairs: ParamPair[_]*): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     Params

111. final def setDefault[T](param: Param[T], value: T): NerCrfApproach.this.type

     

     Attributes

     protected

     Definition Classes

     Params

112. def setEmbeddingsDim(value: Int): NerCrfApproach.this.type

     

     Definition Classes

     HasEmbeddings

113. def setEmbeddingsRef(value: String): NerCrfApproach.this.type

     

     Definition Classes

     HasEmbeddings

114. def setEmbeddingsSource(path: String, nDims: Int, format: String): NerCrfApproach

     

     Definition Classes

     ApproachWithWordEmbeddings

115. def setEmbeddingsSource(path: String, nDims: Int, format: Format): NerCrfApproach

     

     Definition Classes

     ApproachWithWordEmbeddings

116. def setEntities(tags: Array[String]): NerCrfApproach

     

     Definition Classes

     NerApproach

117. def setExternalDataset(path: String, readAs: Format = ReadAs.LINE_BY_LINE, options: Map[String, String] = Map("format" -> "text")): NerCrfApproach.this.type

     

     Definition Classes

     NerApproach

118. def setExternalDataset(path: ExternalResource): NerCrfApproach

     

     Definition Classes

     NerApproach

119. def setExternalFeatures(path: String, delimiter: String, readAs: Format = ReadAs.LINE_BY_LINE, options: Map[String, String] = Map("format" -> "text")): NerCrfApproach.this.type

     

120. def setExternalFeatures(value: ExternalResource): NerCrfApproach

     

121. def setIncludeEmbeddings(value: Boolean): NerCrfApproach.this.type

     

     Definition Classes

     HasEmbeddings

122. final def setInputCols(value: String*): NerCrfApproach.this.type

     

     Definition Classes

     HasInputAnnotationCols

123. final def setInputCols(value: Array[String]): NerCrfApproach.this.type

     

     Overrides required annotators column if different than default

     Overrides required annotators column if different than default

     Definition Classes

     HasInputAnnotationCols

124. def setL2(l2: Double): NerCrfApproach

     

125. def setLabelColumn(column: String): NerCrfApproach

     

     Definition Classes

     NerApproach

126. def setLossEps(eps: Double): NerCrfApproach

     

127. def setMaxEpochs(epochs: Int): NerCrfApproach

     

     Definition Classes

     NerApproach

128. def setMinEpochs(epochs: Int): NerCrfApproach

     

     Definition Classes

     NerApproach

129. def setMinW(w: Double): NerCrfApproach

     

130. final def setOutputCol(value: String): NerCrfApproach.this.type

     

     Overrides annotation column name when transforming

     Overrides annotation column name when transforming

     Definition Classes

     HasOutputAnnotationCol

131. def setRandomSeed(seed: Int): NerCrfApproach

     

     Definition Classes

     NerApproach

132. def setVerbose(verbose: Level): NerCrfApproach

     

     Definition Classes

     NerApproach

133. def setVerbose(verbose: Int): NerCrfApproach

     

     Definition Classes

     NerApproach

134. val sourceEmbeddingsPath: Param[String]

     

     Definition Classes

     ApproachWithWordEmbeddings

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

     

     Definition Classes

     AnyRef

136. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

137. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): NerCrfModel

     

     Definition Classes

     NerCrfApproach → AnnotatorApproach

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

     

     requirement for pipeline transformation validation.

     requirement for pipeline transformation validation. It is called on fit()

     Definition Classes

     AnnotatorApproach → PipelineStage

139. def transformSchema(schema: StructType, logging: Boolean): StructType

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

140. val uid: String

     

     Definition Classes

     NerCrfApproach → Identifiable

141. def validate(schema: StructType): Boolean

     

     takes a Dataset and checks to see if all the required annotation types are present.

     takes a Dataset and checks to see if all the required annotation types are present.

     schema

     to be validated

     returns

     True if all the required types are present, else false

     Attributes

     protected

     Definition Classes

     HasInputAnnotationCols

142. val verbose: IntParam

     

     Definition Classes

     NerApproach

143. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

144. final def wait(arg0: Long, arg1: Int): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

145. final def wait(arg0: Long): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

146. def write: MLWriter

     

     Definition Classes

     ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable