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

   

   Definition Classes

   AnyRef → Any

5. val annotatorType: String

   

   Definition Classes

   NerCrfApproach → HasAnnotatorType

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. val c0: IntParam

   

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

   

   Definition Classes

   Params

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

    

    Definition Classes

    AnnotatorApproach → Estimator → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

12. val datasetPath: Param[String]

    

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

    

    Attributes

    protected

    Definition Classes

    Params

14. val description: String

    

    Definition Classes

    NerCrfApproach → AnnotatorApproach

15. val dicts: StringArrayParam

    

16. val entities: StringArrayParam

    

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

    

    Definition Classes

    AnyRef

18. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

20. def explainParams(): String

    

    Definition Classes

    Params

21. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

23. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnnotatorApproach → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

31. final def getInputCols: Array[String]

    
    returns

    input annotations columns currently used

    Definition Classes

    HasInputAnnotationCols

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

    

    Definition Classes

    Params

33. final def getOutputCol: String

    

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

36. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

37. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

39. 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

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

    

    Definition Classes

    Params

41. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

43. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

44. val l2: DoubleParam

    

45. val labelColumn: Param[String]

    

46. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

48. def logDebug(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

50. def logError(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

52. def logInfo(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

53. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

55. def logTrace(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

58. val lossEps: DoubleParam

    

59. val maxEpochs: IntParam

    

60. val minEpochs: IntParam

    

61. val minW: DoubleParam

    

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

    

    Definition Classes

    AnyRef

63. final def notify(): Unit

    

    Definition Classes

    AnyRef

64. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

65. final val outputCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasOutputAnnotationCol

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

    

    Definition Classes

    Params

67. val randomSeed: IntParam

    

68. 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

69. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Definition Classes

    Params

73. def setC0(c0: Int): NerCrfApproach

    

74. def setDatsetPath(path: String): NerCrfApproach

    

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

77. def setDicts(paths: Seq[String]): NerCrfApproach

    

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

    

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

    

    Definition Classes

    HasInputAnnotationCols

80. 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

81. def setL2(l2: Double): NerCrfApproach

    

82. def setLabelColumn(column: String): NerCrfApproach

    

83. def setLossEps(eps: Double): NerCrfApproach

    

84. def setMaxEpochs(epochs: Int): NerCrfApproach

    

85. def setMinEpochs(epochs: Int): NerCrfApproach

    

86. def setMinW(w: Double): NerCrfApproach

    

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

    

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes

    HasOutputAnnotationCol

88. def setRandomSeed(seed: Int): NerCrfApproach

    

89. def setVerbose(verbose: Level): NerCrfApproach

    

90. def setVerbose(verbose: Int): NerCrfApproach

    

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

    

    Definition Classes

    AnyRef

92. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

93. def train(dataset: Dataset[_]): NerCrfModel

    

    Definition Classes

    NerCrfApproach → AnnotatorApproach

94. 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

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

    

    Attributes

    protected

    Definition Classes

    PipelineStage

    Annotations

    @DeveloperApi()

96. val uid: String

    

    Definition Classes

    NerCrfApproach → Identifiable

97. 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

98. val verbose: IntParam

    

99. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

102. def write: MLWriter

     

     Definition Classes

     DefaultParamsWritable → MLWritable