AssertionLogRegModel

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

   

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   protected

   Definition Classes

   HasFeatures

5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]

   

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   protected

   Definition Classes

   HasFeatures

6. def $$[T](feature: ArrayFeature[T]): Array[T]

   

   Attributes

   protected

   Definition Classes

   HasFeatures

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

   

   Definition Classes

   AnyRef → Any

8. lazy val after: Int

   

   Definition Classes

   AssertionLogRegModel → Windowing

9. val afterParam: IntParam

   

10. val annotatorType: AnnotatorType

    

    Definition Classes

    AssertionLogRegModel → HasAnnotatorType

11. def applyWindow(wvectors: WordEmbeddings)(doc: String, s: Int, e: Int): Array[Double]

    

    Definition Classes

    Windowing

12. def applyWindow(doc: String, target: String): (Array[String], Array[String], Array[String])

    

    Definition Classes

    Windowing

13. def applyWindow(doc: String, s: Int, e: Int): (Array[String], Array[String], Array[String])

    

    Definition Classes

    Windowing

14. def applyWindowUdf: UserDefinedFunction

    

    Definition Classes

    Windowing

15. def applyWindowUdfNerExhaustive(targetLabels: Array[String]): UserDefinedFunction

    

    Definition Classes

    Windowing

16. def applyWindowUdfNerFirst(targetLabels: Array[String]): UserDefinedFunction

    

    Definition Classes

    Windowing

17. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

18. lazy val before: Int

    

    Definition Classes

    AssertionLogRegModel → Windowing

19. val beforeParam: IntParam

    

20. final def clear(param: Param[_]): AssertionLogRegModel.this.type

    

    Definition Classes

    Params

21. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

22. def close(): Unit

    

    Definition Classes

    HasWordEmbeddings → AutoCloseable

23. def copy(extra: ParamMap): AssertionLogRegModel

    

    requirement for annotators copies

    requirement for annotators copies

    Definition Classes

    AssertionLogRegModel → 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 deserializeEmbeddings(path: String, spark: SparkContext): Unit

    

    Definition Classes

    HasWordEmbeddings

27. def embeddings: Option[WordEmbeddings]

    

    Definition Classes

    HasWordEmbeddings

28. val endCol: Param[String]

    

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

    

    Definition Classes

    AnyRef

30. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

31. val exhaustiveNerMode: BooleanParam

    

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

    

    Definition Classes

    Params

33. def explainParams(): String

    

    Definition Classes

    Params

34. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

36. def extractTextUdf: UserDefinedFunction

    

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

    

    Definition Classes

    HasFeatures

38. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

45. def getEmbeddingsSerializedPath(path: String): Path

    

    Definition Classes

    HasWordEmbeddings

46. final def getInputCols: Array[String]

    
    returns

    input annotations columns currently used

    Definition Classes

    HasInputAnnotationCols

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

    

    Definition Classes

    Params

48. final def getOutputCol: String

    

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

51. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

52. def hasParent: Boolean

    

    Definition Classes

    Model

53. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

54. val indexPath: Param[String]

    

    Definition Classes

    HasWordEmbeddings

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

    

    Attributes

    protected

    Definition Classes

    Logging

56. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

57. 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

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

    

    Definition Classes

    Params

59. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

61. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

62. def l2norm(xs: Array[Double]): Double

    

    Definition Classes

    Windowing

63. var labelMap: MapFeature[Double, String]

    

64. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

66. def logDebug(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

68. def logError(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

70. def logInfo(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

71. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

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    protected

    Definition Classes

    Logging

73. def logTrace(msg: ⇒ String): Unit

    

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    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

76. var model: StructFeature[LogisticRegressionModel]

    

77. def moveFolderFiles(folderSrc: String, folderDst: String): Unit

    

    Definition Classes

    HasWordEmbeddings

78. val nDims: IntParam

    

    Definition Classes

    HasWordEmbeddings

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

    

    Definition Classes

    AnyRef

80. val nerCol: Param[String]

    

81. def normalize(vec: Array[Double]): Array[Double]

    

    Definition Classes

    Windowing

82. final def notify(): Unit

    

    Definition Classes

    AnyRef

83. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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

    

    Definition Classes

    HasWordEmbeddings → ParamsAndFeaturesWritable

85. final val outputCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

87. var parent: Estimator[AssertionLogRegModel]

    

    Definition Classes

    Model

88. 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

    AssertionLogRegModel → HasInputAnnotationCols

89. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

90. def serializeEmbeddings(path: String, spark: SparkContext): Unit

    

    Definition Classes

    HasWordEmbeddings

91. def set[T](feature: StructFeature[T], value: T): AssertionLogRegModel.this.type

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

94. final def set(paramPair: ParamPair[_]): AssertionLogRegModel.this.type

    

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    protected

    Definition Classes

    Params

95. final def set(param: String, value: Any): AssertionLogRegModel.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Definition Classes

    Params

97. def setAfter(after: Int): AssertionLogRegModel.this.type

    

98. def setBefore(before: Int): AssertionLogRegModel.this.type

    

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

     

     Attributes

     protected

     Definition Classes

     HasFeatures

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

     

     Attributes

     protected

     Definition Classes

     HasFeatures

102. final def setDefault(paramPairs: ParamPair[_]*): AssertionLogRegModel.this.type

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

104. def setDims(nDims: Int): AssertionLogRegModel.this.type

     

     Definition Classes

     HasWordEmbeddings

105. def setEndCol(end: String): AssertionLogRegModel.this.type

     

106. def setExhaustiveNerMode(v: Boolean): AssertionLogRegModel

     

107. def setIndexPath(path: String): AssertionLogRegModel.this.type

     

     Definition Classes

     HasWordEmbeddings

108. final def setInputCols(value: String*): AssertionLogRegModel.this.type

     

     Definition Classes

     HasInputAnnotationCols

109. final def setInputCols(value: Array[String]): AssertionLogRegModel.this.type

     

     Overrides required annotators column if different than default

     Overrides required annotators column if different than default

     Definition Classes

     HasInputAnnotationCols

110. def setLabelMap(labelMappings: Map[String, Double]): AssertionLogRegModel.this.type

     

111. def setModel(m: LogisticRegressionModel): AssertionLogRegModel.this.type

     

112. def setNerCol(col: String): AssertionLogRegModel.this.type

     

113. final def setOutputCol(value: String): AssertionLogRegModel.this.type

     

     Overrides annotation column name when transforming

     Overrides annotation column name when transforming

     Definition Classes

     HasOutputAnnotationCol

114. def setParent(parent: Estimator[AssertionLogRegModel]): AssertionLogRegModel

     

     Definition Classes

     Model

115. def setStartCol(start: String): AssertionLogRegModel.this.type

     

116. def setTargetNerLabels(v: Array[String]): AssertionLogRegModel.this.type

     

117. val startCol: Param[String]

     

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

     

     Definition Classes

     AnyRef

119. val targetNerLabels: StringArrayParam

     

120. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

121. def tokenIndexToSubstringIndex(doc: String, s: Int, e: Int): (Int, Int)

     

     Definition Classes

     Windowing

122. val tokenizer: Tokenizer

     

     Definition Classes

     AssertionLogRegModel → Windowing

123. final def transform(dataset: Dataset[_]): DataFrame

     

     Definition Classes

     AssertionLogRegModel → Transformer

124. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

125. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

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

     

     requirement for pipeline transformation validation.

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

     Definition Classes

     TransformModelSchema

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

128. val uid: String

     

     Definition Classes

     AssertionLogRegModel → Identifiable

129. 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

130. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

133. lazy val wordVectors: Option[WordEmbeddings]

     

     Definition Classes

     AssertionLogRegModel → Windowing

134. def write: MLWriter

     

     Definition Classes

     ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable