ContextSpellCheckerApproach

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: AnnotatorType

   

   Definition Classes

   ContextSpellCheckerApproach → HasAnnotatorType

10. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

11. def backTrack(dist: Array[Array[Float]], s2: String, s1: String, j: Int, i: Int, acc: Seq[(String, String)]): Seq[(String, String)]

    

    Definition Classes

    WeightedLevenshtein

12. def beforeTraining(spark: SparkSession): Unit

    

    Definition Classes

    AnnotatorApproach

13. val blacklistMinFreq: Param[Int]

    

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

    

    Definition Classes

    Params

15. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

16. def computeAndPersistClasses(vocab: HashMap[String, Double], total: Double, k: Int): Map[String, (Int, Int)]

    

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

    

    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

    ContextSpellCheckerApproach → AnnotatorApproach

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

    

    Definition Classes

    AnyRef

22. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

24. def explainParams(): String

    

    Definition Classes

    Params

25. def extraValidate(structType: StructType): Boolean

    

    Attributes

    protected

    Definition Classes

    AnnotatorApproach

26. def extraValidateMsg: String

    

    Override for additional custom schema checks

    Override for additional custom schema checks

    Attributes

    protected

    Definition Classes

    AnnotatorApproach

27. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    HasFeatures

30. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

31. final def fit(dataset: Dataset[_]): ContextSpellCheckerModel

    

    Definition Classes

    AnnotatorApproach → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

33. def fit(dataset: Dataset[_], paramMap: ParamMap): ContextSpellCheckerModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

35. def genVocab(rawDataPath: String): (List[(String, Double)], Map[String, (Int, Int)])

    

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

43. final def getInputCols: Array[String]

    
    returns

    input annotations columns currently used

    Definition Classes

    HasInputAnnotationCols

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

    

    Definition Classes

    Params

45. final def getOutputCol: String

    

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

48. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

49. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

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

    

    Attributes

    protected

    Definition Classes

    Logging

51. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

52. 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

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

    

    Definition Classes

    Params

54. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

56. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

57. val languageModelClasses: Param[Int]

    

58. def learnDist(s1: String, s2: String): Seq[(String, String)]

    

    Definition Classes

    WeightedLevenshtein

59. def levenshteinDist(s11: String, s22: String)(cost: (String, String) ⇒ Float): Float

    

    Definition Classes

    WeightedLevenshtein

60. def loadWeights(filename: String): Map[String, Map[String, Float]]

    

    Definition Classes

    WeightedLevenshtein

61. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

63. def logDebug(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

    Attributes

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    Definition Classes

    Logging

65. def logError(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

67. def logInfo(msg: ⇒ String): Unit

    

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    protected

    Definition Classes

    Logging

68. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

70. def logTrace(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

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

    

    Attributes

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    Definition Classes

    Logging

73. val maxCandidates: IntParam

    

74. val minCount: Param[Double]

    

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

    

    Definition Classes

    AnyRef

76. final def notify(): Unit

    

    Definition Classes

    AnyRef

77. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

78. def onTrained(model: ContextSpellCheckerModel, spark: SparkSession): Unit

    

    Definition Classes

    AnnotatorApproach

79. val openClose: List[OpenClose]

    

80. final val outputCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

82. val prefixes: ArrayFeature[String]

    

83. 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

    ContextSpellCheckerApproach → HasInputAnnotationCols

84. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

85. def set[T](feature: StructFeature[T], value: T): ContextSpellCheckerApproach.this.type

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

89. final def set(paramPair: ParamPair[_]): ContextSpellCheckerApproach.this.type

    

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    protected

    Definition Classes

    Params

90. final def set(param: String, value: Any): ContextSpellCheckerApproach.this.type

    

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    protected

    Definition Classes

    Params

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

    

    Definition Classes

    Params

92. def setBlackListMinFreq(k: Int): ContextSpellCheckerApproach.this.type

    

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

97. final def setDefault(paramPairs: ParamPair[_]*): ContextSpellCheckerApproach.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

99. final def setInputCols(value: String*): ContextSpellCheckerApproach.this.type

    

    Definition Classes

    HasInputAnnotationCols

100. final def setInputCols(value: Array[String]): ContextSpellCheckerApproach.this.type

     

     Overrides required annotators column if different than default

     Overrides required annotators column if different than default

     Definition Classes

     HasInputAnnotationCols

101. def setLMClasses(k: Int): ContextSpellCheckerApproach.this.type

     

102. def setMaxCandidates(k: Int): ContextSpellCheckerApproach.this.type

     

103. def setMinCount(threshold: Double): ContextSpellCheckerApproach.this.type

     

104. final def setOutputCol(value: String): ContextSpellCheckerApproach.this.type

     

     Overrides annotation column name when transforming

     Overrides annotation column name when transforming

     Definition Classes

     HasOutputAnnotationCol

105. def setPrefixes(p: Array[String]): ContextSpellCheckerApproach.this.type

     

106. def setSpecialClasses(parsers: List[SpecialClassParser]): ContextSpellCheckerApproach.this.type

     

107. def setSuffixes(s: Array[String]): ContextSpellCheckerApproach.this.type

     

108. def setTradeoff(alpha: Float): ContextSpellCheckerApproach.this.type

     

109. def setTrainCorpusPath(path: String): ContextSpellCheckerApproach.this.type

     

110. def setWeights(filePath: String): ContextSpellCheckerApproach.this.type

     

111. def setWordMaxDist(k: Int): ContextSpellCheckerApproach.this.type

     

112. val specialClasses: Param[List[SpecialClassParser]]

     

113. val suffixes: ArrayFeature[String]

     

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

     

     Definition Classes

     AnyRef

115. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

116. val tradeoff: Param[Float]

     

117. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): ContextSpellCheckerModel

     

     Definition Classes

     ContextSpellCheckerApproach → AnnotatorApproach

118. val trainCorpusPath: Param[String]

     

119. 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

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

121. val uid: String

     

     Definition Classes

     ContextSpellCheckerApproach → Identifiable

122. 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

123. def wLevenshteinDist(s1: String, s2: String, weights: Map[String, Map[String, Float]]): Float

     

     Definition Classes

     WeightedLevenshtein

124. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

127. val weightedDistPath: Param[String]

     

128. val wordMaxDistance: IntParam

     

129. def write: MLWriter

     

     Definition Classes

     DefaultParamsWritable → MLWritable