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

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   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]

   

   Attributes

   protected

   Definition Classes

   HasFeatures

6. def $$[T](feature: SetFeature[T]): Set[T]

   

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   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. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

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

    

    Definition Classes

    WeightedLevenshtein

11. def beforeTraining(spark: SparkSession): Unit

    

    Definition Classes

    AnnotatorApproach

12. val blacklistMinFreq: Param[Int]

    

13. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

    

    Attributes

    protected

    Definition Classes

    HasInputAnnotationCols

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

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    Definition Classes

    Params

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

    

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    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. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    HasFeatures

28. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnnotatorApproach → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

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

    

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

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    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

41. def getInputCols: Array[String]

    
    returns

    input annotations columns currently used

    Definition Classes

    HasInputAnnotationCols

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

    

    Definition Classes

    Params

43. final def getOutputCol: String

    

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

46. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

47. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

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

    

    Attributes

    protected

    Definition Classes

    Logging

49. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

50. val inputAnnotatorTypes: 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

51. 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

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

    

    Definition Classes

    Params

53. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

55. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

56. val languageModelClasses: Param[Int]

    

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

    

    Definition Classes

    WeightedLevenshtein

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

    

    Definition Classes

    WeightedLevenshtein

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

    

    Definition Classes

    WeightedLevenshtein

60. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

62. def logDebug(msg: ⇒ String): Unit

    

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    protected

    Definition Classes

    Logging

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

    

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    protected

    Definition Classes

    Logging

64. def logError(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

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    protected

    Definition Classes

    Logging

66. def logInfo(msg: ⇒ String): Unit

    

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    protected

    Definition Classes

    Logging

67. def logName: String

    

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    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

69. def logTrace(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

72. val maxCandidates: IntParam

    

73. val maxWindowLen: 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. val outputAnnotatorType: AnnotatorType

    

    Definition Classes

    ContextSpellCheckerApproach → HasOutputAnnotatorType

81. final val outputCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

83. val prefixes: ArrayFeature[String]

    

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

    

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    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 setMaxWindowLen(w: Int): ContextSpellCheckerApproach.this.type

     

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

     

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

     

     Overrides annotation column name when transforming

     Overrides annotation column name when transforming

     Definition Classes

     HasOutputAnnotationCol

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

     

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

     

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

     

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

     

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

     

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

     

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

     

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

     

114. val suffixes: ArrayFeature[String]

     

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

     

     Definition Classes

     AnyRef

116. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

117. val tradeoff: Param[Float]

     

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

     

     Definition Classes

     ContextSpellCheckerApproach → AnnotatorApproach

119. val trainCorpusPath: Param[String]

     

120. 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

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

122. val uid: String

     

     Definition Classes

     ContextSpellCheckerApproach → Identifiable

123. 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

     AnnotatorApproach

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

     

     Definition Classes

     WeightedLevenshtein

125. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

128. val weightedDistPath: Param[String]

     

129. val wordMaxDistance: IntParam

     

130. def write: MLWriter

     

     Definition Classes

     DefaultParamsWritable → MLWritable