Class

org.apache.spark.ml.mleap.classification

SVMWithSGD

Related Doc: package classification

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

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

  1. new SVMWithSGD()

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    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)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. var addIntercept: Boolean

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    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

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    Attributes
    protected
    Definition Classes
    SVMWithSGD → GeneralizedLinearAlgorithm

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

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

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

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    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

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

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    Definition Classes
    AnyRef → Any

  13. def getNumFeatures: Int

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    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "1.4.0" )

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  16. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  17. def isAddIntercept: Boolean

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    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "1.4.0" )

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  20. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  27. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  33. final def notify(): Unit

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    Definition Classes
    AnyRef

  34. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  35. var numFeatures: Int

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    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

  36. var numOfLinearPredictor: Int

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    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

  37. val optimizer: GradientDescent

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    Definition Classes
    SVMWithSGD → GeneralizedLinearAlgorithm

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

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    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "1.0.0" )

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

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    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "0.8.0" )

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

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    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "0.8.0" )

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

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    Definition Classes
    GeneralizedLinearAlgorithm
    Annotations
    @Since( "0.8.0" )

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

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    Definition Classes
    AnyRef

  43. def toString(): String

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    Definition Classes
    AnyRef → Any

  44. var validateData: Boolean

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    Attributes
    protected
    Definition Classes
    GeneralizedLinearAlgorithm

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

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    Attributes
    protected
    Definition Classes
    SVMWithSGD → GeneralizedLinearAlgorithm

  46. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    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

Ungrouped