Packages

class SVM extends ProbabilisticClassifier[Vector, SVM, SVMModel] with SVMBase

Linear Supertypes
SVMBase, ProbabilisticClassifier[Vector, SVM, SVMModel], ProbabilisticClassifierParams, HasThresholds, HasProbabilityCol, Classifier[Vector, SVM, SVMModel], ClassifierParams, HasRawPredictionCol, Predictor[Vector, SVM, SVMModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[SVMModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SVM
  2. SVMBase
  3. ProbabilisticClassifier
  4. ProbabilisticClassifierParams
  5. HasThresholds
  6. HasProbabilityCol
  7. Classifier
  8. ClassifierParams
  9. HasRawPredictionCol
  10. Predictor
  11. PredictorParams
  12. HasPredictionCol
  13. HasFeaturesCol
  14. HasLabelCol
  15. Estimator
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SVM()
  2. new SVM(uid: String)

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
    @native() @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
    Annotations
    @native()
  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
    Annotations
    @native()
  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
    Annotations
    @native()
  70. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  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
    @native() @throws( ... )

Inherited from SVMBase

Inherited from ProbabilisticClassifier[Vector, SVM, SVMModel]

Inherited from ProbabilisticClassifierParams

Inherited from HasThresholds

Inherited from HasProbabilityCol

Inherited from Classifier[Vector, SVM, SVMModel]

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from Predictor[Vector, SVM, SVMModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[SVMModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped