Class

edu.cmu.ml.rtw.pra.models

SgdLogisticRegressionModel

Related Doc: package models

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class SgdLogisticRegressionModel[T <: Instance] extends OnlineModel

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OnlineModel, AnyRef, Any
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  1. SgdLogisticRegressionModel
  2. OnlineModel
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Instance Constructors

  1. new SgdLogisticRegressionModel(params: JValue, outputter: Outputter)

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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
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  4. val _iterations: Int

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def classifyInstance(instance: MatrixRow): Double

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    Definition Classes
    SgdLogisticRegressionModel → OnlineModel

  7. def clone(): AnyRef

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

  8. def computeLambda(): Double

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    Definition Classes
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  11. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  13. def getWeights(): WrappedArray[Double]

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    Definition Classes
    SgdLogisticRegressionModel → OnlineModel

  14. def growFeatures(newSize: Int): Unit

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  15. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  17. var iteration: Int

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  18. def iterations(): Int

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    Definition Classes
    SgdLogisticRegressionModel → OnlineModel

  19. var k: Int

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  20. val l2Weight: Double

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  21. var lastUpdated: Array[Int]

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  22. val learningRateA: Double

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  23. val learningRateB: Double

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  24. val learningRateMomentum: Double

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  25. var logConditionalLikelihood: Double

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

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    Definition Classes
    AnyRef

  27. def nextIteration(): Unit

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    Definition Classes
    SgdLogisticRegressionModel → OnlineModel

  28. final def notify(): Unit

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    Definition Classes
    AnyRef

  29. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  30. var numFeatures: Int

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  31. val overflow: Int

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  32. val paramKeys: Seq[String]

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  33. def sigmoid(x: Double): Double

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

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    Definition Classes
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  35. def toString(): String

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    Definition Classes
    AnyRef → Any

  36. def updateWeights(instance: MatrixRow): Unit

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    Definition Classes
    SgdLogisticRegressionModel → OnlineModel

  37. var velocity: Array[Double]

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  38. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

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

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    Definition Classes
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  41. var weights: Array[Double]

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Inherited from OnlineModel

Inherited from AnyRef

Inherited from Any

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