Class/Object

com.github.cloudml.zen.ml.regression

LogisticRegression

Related Docs: object LogisticRegression | package regression

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abstract class LogisticRegression extends Serializable with Logging

Linear Supertypes
Logging, Serializable, Serializable, AnyRef, Any
Known Subclasses
LogisticRegressionMIS, LogisticRegressionSGD
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Inherited
  1. LogisticRegression
  2. Logging
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
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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)

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

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Abstract Value Members

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

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    Attributes
    protected

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

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    Attributes
    protected

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

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    Attributes
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Concrete Value Members

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

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    Definition Classes
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  2. final def ##(): Int

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

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

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    Attributes
    protected

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

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    protected

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def checkpointGradientSum(): Unit

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    protected

  8. var checkpointInterval: Int

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    Attributes
    protected

  9. def checkpointVertices(): Unit

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    Attributes
    protected

  10. def clone(): AnyRef

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

  11. var dataSet: Graph[VD, ED]

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

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

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

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

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    Definition Classes
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  16. def features: VertexRDD[VD]

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  17. def finalize(): Unit

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

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

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    Definition Classes
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  19. var gradient: VertexRDD[Double]

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    Attributes
    protected

  20. var gradientSum: VertexRDD[Double]

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  21. def hashCode(): Int

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    Definition Classes
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  22. var innerIter: Int

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  23. final def isInstanceOf[T0]: Boolean

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  24. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  25. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  32. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

  37. var margin: VertexRDD[Double]

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    Attributes
    protected

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

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    Definition Classes
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  39. final def notify(): Unit

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    Definition Classes
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  40. final def notifyAll(): Unit

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    Definition Classes
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  41. val numFeatures: Long

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  42. val numSamples: Long

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  43. var previousVertices: VertexRDD[VD]

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    Attributes
    protected

  44. var regParam: Double

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  45. def run(iterations: Int): Unit

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  46. def samples: VertexRDD[VD]

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  47. def saveModel(): LogisticRegressionModel

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

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

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

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

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  52. var stepSize: Double

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  53. var storageLevel: StorageLevel

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

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

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    Attributes
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  56. def toString(): String

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    Definition Classes
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  57. def unpersistVertices(): Unit

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

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

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

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  61. var useAdaGrad: Boolean

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  62. var vertices: VertexRDD[VD]

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    protected

  63. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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