com.github.cloudml.zen.ml.regression

LogisticRegression

abstract class LogisticRegression extends Serializable with Logging

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Instance Constructors

  1. new LogisticRegression(input: RDD[(VertexId, LabeledPoint)], stepSize: Double = 1e-4, regParam: Double = 0.0, useAdaGrad: Boolean = false, storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK)

  2. new LogisticRegression(dataSet: Graph[VD, ED], stepSize: Double, regParam: Double, useAdaGrad: Boolean, storageLevel: StorageLevel)

Abstract Value Members

  1. abstract def backward(q: VertexRDD[VD], iter: Int): VertexRDD[Double]

    Attributes
    protected
  2. abstract def forward(iter: Int): VertexRDD[VD]

    Attributes
    protected
  3. abstract def loss(q: VertexRDD[VD]): Double

    Attributes
    protected

Concrete Value Members

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

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

    Definition Classes
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  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. def adaDelta(deltaSum: VertexRDD[Array[Double]], gradient: VertexRDD[Double], epsilon: Double, rho: Double): VertexRDD[Array[Double]]

    Attributes
    protected
  7. def adaGrad(gradientSum: VertexRDD[Double], gradient: VertexRDD[Double], epsilon: Double, rho: Double): VertexRDD[Array[Double]]

    Attributes
    protected
  8. final def asInstanceOf[T0]: T0

    Definition Classes
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  9. def checkpointGradientSum(): Unit

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    protected
  10. var checkpointInterval: Int

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    protected
  11. def checkpointVertices(): Unit

    Attributes
    protected
  12. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. var dataSet: Graph[VD, ED]

  14. var deltaSum: VertexRDD[Array[Double]]

    Attributes
    protected
  15. var edges: EdgeRDDImpl[ED, VD]

    Attributes
    protected
  16. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  17. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  18. def features: VertexRDD[VD]

  19. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  21. var gradient: VertexRDD[Double]

    Attributes
    protected
  22. var gradientSum: VertexRDD[Double]

    Attributes
    protected
  23. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  24. var innerIter: Int

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    protected
  25. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  26. def isTraceEnabled(): Boolean

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    protected
    Definition Classes
    Logging
  27. def log: Logger

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    protected
    Definition Classes
    Logging
  28. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  29. def logDebug(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  30. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  31. def logError(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  32. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Definition Classes
    Logging
  33. def logInfo(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  34. def logName: String

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    Definition Classes
    Logging
  35. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  36. def logTrace(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  37. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  38. def logWarning(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  39. var margin: VertexRDD[Double]

    Attributes
    protected
  40. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  41. final def notify(): Unit

    Definition Classes
    AnyRef
  42. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  43. val numFeatures: Long

  44. val numSamples: Long

  45. var previousVertices: VertexRDD[VD]

    Attributes
    protected
  46. var regParam: Double

  47. def run(iterations: Int): Unit

  48. def samples: VertexRDD[VD]

  49. def saveModel(): LogisticRegressionModel

  50. def setAdaGrad(useAdaGrad: Boolean): LogisticRegression.this.type

  51. def setCheckpointInterval(interval: Int): LogisticRegression.this.type

  52. def setRegParam(regParam: Double): LogisticRegression.this.type

  53. def setStepSize(stepSize: Double): LogisticRegression.this.type

  54. var stepSize: Double

  55. var storageLevel: StorageLevel

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

    Definition Classes
    AnyRef
  57. def thisIterStepSize(iter: Int): Double

    Attributes
    protected
  58. def toString(): String

    Definition Classes
    AnyRef → Any
  59. def unpersistVertices(): Unit

    Attributes
    protected
  60. def updateDeltaSum(gradient: VertexRDD[Double], iter: Int): VertexRDD[Double]

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  61. def updateGradientSum(gradient: VertexRDD[Double], iter: Int): VertexRDD[Double]

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    protected
  62. def updateWeight(delta: VertexRDD[Double], iter: Int, thisIterStepSize: Double, thisIterL1StepSize: Double): VertexRDD[Double]

    Attributes
    protected
  63. var useAdaGrad: Boolean

  64. var vertices: VertexRDD[VD]

    Attributes
    protected
  65. final def wait(): Unit

    Definition Classes
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    Annotations
    @throws( ... )
  66. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
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    @throws( ... )
  67. final def wait(arg0: Long): Unit

    Definition Classes
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    @throws( ... )

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