com.github.cloudml.zen.ml.regression

LogisticRegressionSGD

Related Doc: package regression

class LogisticRegressionSGD extends LogisticRegression

Linear Supertypes
LogisticRegression, Logging, Serializable, Serializable, AnyRef, Any
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  1. LogisticRegressionSGD
  2. LogisticRegression
  3. Logging
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Instance Constructors

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

  2. new LogisticRegressionSGD(dataSet_: Graph[VD, ED], stepSize_: Double, regParam_: Double, useAdaGrad_: Boolean, storageLevel_: StorageLevel)

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
    Definition Classes
    LogisticRegression

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

    Attributes
    protected
    Definition Classes
    LogisticRegression

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

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

    Attributes
    protected[com.github.cloudml.zen.ml]
    Definition Classes
    LogisticRegressionSGD → LogisticRegression

  8. def checkpointGradientSum(): Unit

    Attributes
    protected
    Definition Classes
    LogisticRegression

  9. var checkpointInterval: Int

    Attributes
    protected
    Definition Classes
    LogisticRegression

  10. def checkpointVertices(): Unit

    Attributes
    protected
    Definition Classes
    LogisticRegression

  11. def clone(): AnyRef

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

  12. var dataSet: Graph[VD, ED]

    Definition Classes
    LogisticRegression

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

    Attributes
    protected
    Definition Classes
    LogisticRegression

  14. var edges: EdgeRDDImpl[ED, VD]

    Attributes
    protected
    Definition Classes
    LogisticRegression

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

    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  17. def features: VertexRDD[VD]

    Definition Classes
    LogisticRegression

  18. def finalize(): Unit

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

  19. def forward(iter: Int): VertexRDD[VD]

    Attributes
    protected[com.github.cloudml.zen.ml]
    Definition Classes
    LogisticRegressionSGD → LogisticRegression

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

    Definition Classes
    AnyRef → Any

  21. var gradient: VertexRDD[Double]

    Attributes
    protected
    Definition Classes
    LogisticRegression

  22. var gradientSum: VertexRDD[Double]

    Attributes
    protected
    Definition Classes
    LogisticRegression

  23. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  24. var innerIter: Int

    Attributes
    protected
    Definition Classes
    LogisticRegression

  25. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  26. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  27. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  34. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  39. def loss(q: VertexRDD[VD]): Double

    Attributes
    protected[com.github.cloudml.zen.ml]
    Definition Classes
    LogisticRegressionSGD → LogisticRegression

  40. var margin: VertexRDD[Double]

    Attributes
    protected
    Definition Classes
    LogisticRegression

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

    Definition Classes
    AnyRef

  42. final def notify(): Unit

    Definition Classes
    AnyRef

  43. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  44. val numFeatures: Long

    Definition Classes
    LogisticRegression

  45. val numSamples: Long

    Definition Classes
    LogisticRegression

  46. var previousVertices: VertexRDD[VD]

    Attributes
    protected
    Definition Classes
    LogisticRegression

  47. var regParam: Double

    Definition Classes
    LogisticRegression

  48. def run(iterations: Int): Unit

    Definition Classes
    LogisticRegression

  49. def samples: VertexRDD[VD]

    Definition Classes
    LogisticRegression

  50. def saveModel(): LogisticRegressionModel

    Definition Classes
    LogisticRegression

  51. def setAdaGrad(useAdaGrad: Boolean): LogisticRegressionSGD.this.type

    Definition Classes
    LogisticRegression

  52. def setCheckpointInterval(interval: Int): LogisticRegressionSGD.this.type

    Definition Classes
    LogisticRegression

  53. def setRegParam(regParam: Double): LogisticRegressionSGD.this.type

    Definition Classes
    LogisticRegression

  54. def setStepSize(stepSize: Double): LogisticRegressionSGD.this.type

    Definition Classes
    LogisticRegression

  55. var stepSize: Double

    Definition Classes
    LogisticRegression

  56. var storageLevel: StorageLevel

    Definition Classes
    LogisticRegression

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

    Definition Classes
    AnyRef

  58. def thisIterStepSize(iter: Int): Double

    Attributes
    protected
    Definition Classes
    LogisticRegression

  59. def toString(): String

    Definition Classes
    AnyRef → Any

  60. def unpersistVertices(): Unit

    Attributes
    protected
    Definition Classes
    LogisticRegressionSGD → LogisticRegression

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

    Attributes
    protected
    Definition Classes
    LogisticRegression

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

    Attributes
    protected
    Definition Classes
    LogisticRegression

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

    Attributes
    protected
    Definition Classes
    LogisticRegression

  64. var useAdaGrad: Boolean

    Definition Classes
    LogisticRegression

  65. var vertices: VertexRDD[VD]

    Attributes
    protected
    Definition Classes
    LogisticRegression

  66. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from LogisticRegression

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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