org.apache.spark.ml.mleap.classification

SVMWithSGD

class SVMWithSGD extends GeneralizedLinearAlgorithm[mllib.classification.SVMModel] with Serializable

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@SparkCode()
Linear Supertypes
GeneralizedLinearAlgorithm[mllib.classification.SVMModel], Serializable, Serializable, Logging, AnyRef, Any
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  1. SVMWithSGD
  2. GeneralizedLinearAlgorithm
  3. Serializable
  4. Serializable
  5. Logging
  6. AnyRef
  7. Any
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Instance Constructors

  1. new SVMWithSGD()

    Construct a SVM object with default parameters: {stepSize: 1.

    Construct a SVM object with default parameters: {stepSize: 1.0, numIterations: 100, regParm: 0.01, miniBatchFraction: 1.0}.

  2. new SVMWithSGD(stepSize: Double, numIterations: Int, regParam: Double, miniBatchFraction: Double)

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. var addIntercept: Boolean

    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. def createModel(weights: Vector, intercept: Double): mllib.classification.SVMModel

    Attributes
    protected
    Definition Classes
    SVMWithSGD → GeneralizedLinearAlgorithm

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

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  13. def generateInitialWeights(input: RDD[LabeledPoint]): Vector

    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

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

    Definition Classes
    AnyRef → Any

  15. def getNumFeatures: Int

    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "1.4.0" )

  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  17. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes
    protected
    Definition Classes
    Logging

  18. def isAddIntercept: Boolean

    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "1.4.0" )

  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  20. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  21. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  23. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  25. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  27. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  28. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  30. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    AnyRef

  34. final def notify(): Unit

    Definition Classes
    AnyRef

  35. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  36. var numFeatures: Int

    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

  37. var numOfLinearPredictor: Int

    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

  38. val optimizer: GradientDescent

    Definition Classes
    SVMWithSGD → GeneralizedLinearAlgorithm

  39. def run(input: RDD[LabeledPoint], initialWeights: Vector): mllib.classification.SVMModel

    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "1.0.0" )

  40. def run(input: RDD[LabeledPoint]): mllib.classification.SVMModel

    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "0.8.0" )

  41. def setIntercept(addIntercept: Boolean): SVMWithSGD.this.type

    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "0.8.0" )

  42. def setValidateData(validateData: Boolean): SVMWithSGD.this.type

    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "0.8.0" )

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

    Definition Classes
    AnyRef

  44. def toString(): String

    Definition Classes
    AnyRef → Any

  45. var validateData: Boolean

    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

  46. val validators: List[(RDD[LabeledPoint]) ⇒ Boolean]

    Attributes
    protected
    Definition Classes
    SVMWithSGD → GeneralizedLinearAlgorithm

  47. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from GeneralizedLinearAlgorithm[mllib.classification.SVMModel]

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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