Class

com.github.cloudml.zen.ml.recommendation

FMRegression

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class FMRegression extends FM

Linear Supertypes
FM, Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. FMRegression
  2. FM
  3. Logging
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
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Instance Constructors

  1. new FMRegression(input: RDD[(VertexId, LabeledPoint)], stepSize: Double = 1e-2, l2Reg: (Double, Double, Double) = (1e-3, 1e-3, 1e-3), rank: Int = 20, useAdaGrad: Boolean = true, miniBatchFraction: Double = 1.0, storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK)

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  2. new FMRegression(_dataSet: Graph[VD, ED], stepSize: Double, l2: (Double, Double, Double), rank: Int, useAdaGrad: Boolean, miniBatchFraction: Double, storageLevel: StorageLevel)

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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
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    FM

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def backward(q: VertexRDD[VD], iter: Int): (Long, Double, (Double, VertexRDD[Array[Double]]))

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    Attributes
    protected
    Definition Classes
    FM

  7. var bias: Double

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    Attributes
    protected
    Definition Classes
    FM

  8. def checkpointGradientSum(delta: VertexRDD[(Array[Double], Array[Double])]): Unit

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    Attributes
    protected
    Definition Classes
    FM

  9. val checkpointInterval: Int

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    Attributes
    protected
    Definition Classes
    FM

  10. def checkpointVertices(): Unit

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    Attributes
    protected
    Definition Classes
    FM

  11. def clone(): AnyRef

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

  12. var dataSet: Graph[VD, ED]

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    Attributes
    protected
    Definition Classes
    FM

  13. var edges: EdgeRDD[ED]

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    Attributes
    protected
    Definition Classes
    FM

  14. def epsilon: Double

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    Definition Classes
    FM

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

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    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  17. def esgd(gradientSum: (Double, VertexRDD[Array[Double]]), gradient: (Double, VertexRDD[Array[Double]]), epsilon: Double, iter: Int): (Double, Double, VertexRDD[(Array[Double], Array[Double])])

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    Attributes
    protected
    Definition Classes
    FM

  18. def features: VertexRDD[VD]

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    Definition Classes
    FM

  19. def finalize(): Unit

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

  20. def forward(iter: Int): VertexRDD[Array[Double]]

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    Attributes
    protected[com.github.cloudml.zen.ml]
    Definition Classes
    FM

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

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    Definition Classes
    AnyRef → Any

  22. var gradientSum: (Double, VertexRDD[Array[Double]])

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    Attributes
    protected
    Definition Classes
    FM

  23. def halfLife: Int

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    Definition Classes
    FM

  24. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  25. var innerIter: Int

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    Attributes
    protected
    Definition Classes
    FM

  26. def intercept: Double

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    Definition Classes
    FM

  27. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  28. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  29. val l2: (Double, Double, Double)

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    Definition Classes
    FMRegression → FM

  30. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  37. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  42. def mask: Int

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    Attributes
    protected[com.github.cloudml.zen.ml]
    Definition Classes
    FM

  43. val miniBatchFraction: Double

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    Definition Classes
    FMRegression → FM

  44. var multi: VertexRDD[Array[Double]]

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    Attributes
    protected
    Definition Classes
    FM

  45. def multiplier(q: VertexRDD[VD], iter: Int): (Long, Double, VertexRDD[VD])

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    Attributes
    protected
    Definition Classes
    FMRegression → FM

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

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    Definition Classes
    AnyRef

  47. final def notify(): Unit

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    Definition Classes
    AnyRef

  48. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  49. var numFeatures: Long

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    Attributes
    protected
    Definition Classes
    FM

  50. var numSamples: Long

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    Attributes
    protected
    Definition Classes
    FM

  51. def predict(arr: Array[Double]): Double

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    Attributes
    protected
    Definition Classes
    FMRegression → FM

  52. val rank: Int

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    Definition Classes
    FMRegression → FM

  53. def run(iterations: Int): Unit

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    Definition Classes
    FM

  54. def samples: VertexRDD[VD]

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    Definition Classes
    FM

  55. def saveModel(): FMModel

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    Definition Classes
    FM

  56. def setDataSet(data: Graph[VD, ED]): FMRegression.this.type

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    Definition Classes
    FM

  57. val stepSize: Double

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    Definition Classes
    FMRegression → FM

  58. val storageLevel: StorageLevel

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    Definition Classes
    FMRegression → FM

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

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    Definition Classes
    AnyRef

  60. def toString(): String

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    FM

  62. def updateWeight(delta: (Double, VertexRDD[Array[Double]]), iter: Int): VertexRDD[VD]

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    Attributes
    protected
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    FM

  63. val useAdaGrad: Boolean

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    Definition Classes
    FMRegression → FM

  64. var vertices: VertexRDD[VD]

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    Attributes
    protected
    Definition Classes
    FM

  65. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from FM

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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