SVM

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. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. final def clear(param: Param[_]): SVM.this.type

   

   Definition Classes

   Params

7. def clearThreshold(): SVM.this.type

   

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. def copy(extra: ParamMap): SVM

   

   Definition Classes

   SVM → Predictor → Estimator → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef

13. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

15. def explainParams(): String

    

    Definition Classes

    Params

16. def extractLabeledPoints(dataset: Dataset[_], numClasses: Int): RDD[LabeledPoint]

    

    Attributes

    protected

    Definition Classes

    Classifier

17. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]

    

    Attributes

    protected

    Definition Classes

    Predictor

18. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

20. final val featuresCol: Param[String]

    

    Definition Classes

    HasFeaturesCol

21. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

22. def fit(dataset: Dataset[_]): SVMModel

    

    Definition Classes

    Predictor → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

24. def fit(dataset: Dataset[_], paramMap: ParamMap): SVMModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

26. final val fitIntercept: BooleanParam

    

    Param for whether to fit the intercept.

    Param for whether to fit the intercept.

    Definition Classes

    SVMBase

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

30. final def getFeaturesCol: String

    

    Definition Classes

    HasFeaturesCol

31. final def getFitIntercept: Boolean

    
    Definition Classes

    SVMBase

32. final def getLabelCol: String

    

    Definition Classes

    HasLabelCol

33. final def getMiniBatchFraction: Double

    
    Definition Classes

    SVMBase

34. def getNumClasses(dataset: Dataset[_], maxNumClasses: Int): Int

    

    Attributes

    protected

    Definition Classes

    Classifier

35. final def getNumIterations: Int

    
    Definition Classes

    SVMBase

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

38. final def getPredictionCol: String

    

    Definition Classes

    HasPredictionCol

39. final def getProbabilityCol: String

    

    Definition Classes

    HasProbabilityCol

40. final def getRawPredictionCol: String

    

    Definition Classes

    HasRawPredictionCol

41. final def getRegParam: Double

    
    Definition Classes

    SVMBase

42. final def getStepSize: Double

    
    Definition Classes

    SVMBase

43. final def getThreshold: Double

    
    Definition Classes

    SVMBase

44. def getThresholds: Array[Double]

    

    Definition Classes

    HasThresholds

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

    

    Definition Classes

    Params

51. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

53. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

54. final val labelCol: Param[String]

    

    Definition Classes

    HasLabelCol

55. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

57. def logDebug(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

59. def logError(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

61. def logInfo(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

62. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

64. def logTrace(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

67. final val miniBatchFraction: DoubleParam

    

    Param for number of iterations.

    Param for number of iterations.

    Definition Classes

    SVMBase

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

    

    Definition Classes

    AnyRef

69. final def notify(): Unit

    

    Definition Classes

    AnyRef

70. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

71. final val numIterations: IntParam

    

    Param for number of iterations.

    Param for number of iterations.

    Definition Classes

    SVMBase

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

    

    Definition Classes

    Params

73. final val predictionCol: Param[String]

    

    Definition Classes

    HasPredictionCol

74. final val probabilityCol: Param[String]

    

    Definition Classes

    HasProbabilityCol

75. final val rawPredictionCol: Param[String]

    

    Definition Classes

    HasRawPredictionCol

76. final val regParam: DoubleParam

    

    Param for number of iterations.

    Param for number of iterations.

    Definition Classes

    SVMBase

77. final def set(paramPair: ParamPair[_]): SVM.this.type

    

    Attributes

    protected

    Definition Classes

    Params

78. final def set(param: String, value: Any): SVM.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Definition Classes

    Params

80. final def setDefault(paramPairs: ParamPair[_]*): SVM.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

82. def setFeaturesCol(value: String): SVM

    

    Definition Classes

    Predictor

83. def setFitIntercept(value: Boolean): SVM.this.type

    

84. def setLabelCol(value: String): SVM

    

    Definition Classes

    Predictor

85. def setMiniBatchFraction(value: Double): SVM.this.type

    

86. def setNumIterations(value: Int): SVM.this.type

    

87. def setPredictionCol(value: String): SVM

    

    Definition Classes

    Predictor

88. def setProbabilityCol(value: String): SVM

    

    Definition Classes

    ProbabilisticClassifier

89. def setRawPredictionCol(value: String): SVM

    

    Definition Classes

    Classifier

90. def setRegParam(value: Double): SVM.this.type

    

91. def setStepSize(value: Double): SVM.this.type

    

92. def setThreshold(value: Double): SVM.this.type

    

93. def setThresholds(value: Array[Double]): SVM

    

    Definition Classes

    ProbabilisticClassifier

94. final val stepSize: DoubleParam

    

    Param for step size.

    Param for step size.

    Definition Classes

    SVMBase

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

    

    Definition Classes

    AnyRef

96. final val threshold: DoubleParam

    

    Param for threshold.

    Param for threshold.

    Definition Classes

    SVMBase

97. final val thresholds: DoubleArrayParam

    

    Definition Classes

    HasThresholds

98. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

99. def train(dataset: Dataset[_]): SVMModel

    

    Attributes

    protected

    Definition Classes

    SVM → Predictor

100. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     Predictor → PipelineStage

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

102. val uid: String

     

     Definition Classes

     SVM → Identifiable

103. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

     

     Attributes

     protected

     Definition Classes

     ProbabilisticClassifierParams → ClassifierParams → PredictorParams

104. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )