com.github.cloudml.zen.ml.recommendation

FMClassification

class FMClassification extends FM

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

  1. new FMClassification(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)

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

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

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

    Attributes
    protected
    Definition Classes
    FM

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

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

    Attributes
    protected
    Definition Classes
    FM

  9. var bias: Double

    Attributes
    protected
    Definition Classes
    FM

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

    Attributes
    protected
    Definition Classes
    FM

  11. val checkpointInterval: Int

    Attributes
    protected
    Definition Classes
    FM

  12. def checkpointVertices(): Unit

    Attributes
    protected
    Definition Classes
    FM

  13. def clone(): AnyRef

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

  14. var dataSet: Graph[VD, ED]

    Attributes
    protected
    Definition Classes
    FM

  15. var edges: EdgeRDD[ED]

    Attributes
    protected
    Definition Classes
    FM

  16. def epsilon: Double

    Definition Classes
    FM

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

    Definition Classes
    AnyRef

  18. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    FM

  20. def features: VertexRDD[VD]

    Definition Classes
    FM

  21. def finalize(): Unit

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

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

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

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

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    FM

  25. def halfLife: Int

    Definition Classes
    FM

  26. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  27. var innerIter: Int

    Attributes
    protected
    Definition Classes
    FM

  28. def intercept: Double

    Definition Classes
    FM

  29. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  30. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    FMClassification → FM

  32. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  39. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  44. def mask: Int

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

  45. val miniBatchFraction: Double

    Definition Classes
    FMClassification → FM

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

    Attributes
    protected
    Definition Classes
    FM

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

    Attributes
    protected
    Definition Classes
    FMClassification → FM

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

    Definition Classes
    AnyRef

  49. final def notify(): Unit

    Definition Classes
    AnyRef

  50. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  51. var numFeatures: Long

    Attributes
    protected
    Definition Classes
    FM

  52. var numSamples: Long

    Attributes
    protected
    Definition Classes
    FM

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

    Attributes
    protected
    Definition Classes
    FMClassification → FM

  54. val rank: Int

    Definition Classes
    FMClassification → FM

  55. def run(iterations: Int): Unit

    Definition Classes
    FM

  56. def samples: VertexRDD[VD]

    Definition Classes
    FM

  57. def saveModel(): FMModel

    Definition Classes
    FMClassification → FM

  58. def setDataSet(data: Graph[VD, ED]): FMClassification.this.type

    Definition Classes
    FM

  59. val stepSize: Double

    Definition Classes
    FMClassification → FM

  60. val storageLevel: StorageLevel

    Definition Classes
    FMClassification → FM

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

    Definition Classes
    AnyRef

  62. def toString(): String

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    FM

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

    Attributes
    protected
    Definition Classes
    FM

  65. val useAdaGrad: Boolean

    Definition Classes
    FMClassification → FM

  66. var vertices: VertexRDD[VD]

    Attributes
    protected
    Definition Classes
    FM

  67. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    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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