com.github.cloudml.zen.ml.regression

LogisticRegression

Related Docs: object LogisticRegression | package regression

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: Any): Boolean

    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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

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

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

    Definition Classes
    Any
  7. def checkpointGradientSum(): Unit

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    protected
  8. var checkpointInterval: Int

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    protected
  9. def checkpointVertices(): Unit

    Attributes
    protected
  10. def clone(): AnyRef

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

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

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

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

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

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

  17. def finalize(): Unit

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

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

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    protected
  20. var gradientSum: VertexRDD[Double]

    Attributes
    protected
  21. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  22. var innerIter: Int

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    protected
  23. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  24. def isTraceEnabled(): Boolean

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    protected
    Definition Classes
    Logging
  25. def log: Logger

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

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

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

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

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

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

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    Definition Classes
    Logging
  32. def logName: String

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

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

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

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

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

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

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

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

    Definition Classes
    AnyRef
  41. val numFeatures: Long

  42. val numSamples: Long

  43. var previousVertices: VertexRDD[VD]

    Attributes
    protected
  44. var regParam: Double

  45. def run(iterations: Int): Unit

  46. def samples: VertexRDD[VD]

  47. def saveModel(): LogisticRegressionModel

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

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

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

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

  52. var stepSize: Double

  53. var storageLevel: StorageLevel

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

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

    Attributes
    protected
  56. def toString(): String

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

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

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

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

    Attributes
    protected
  61. var useAdaGrad: Boolean

  62. var vertices: VertexRDD[VD]

    Attributes
    protected
  63. final def wait(): Unit

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  65. final def wait(arg0: Long): Unit

    Definition Classes
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    @throws( ... )

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