Class

com.github.cloudml.zen.ml.recommendation

BSFMClassification

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class BSFMClassification extends BSFM

Linear Supertypes
BSFM, Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. BSFMClassification
  2. BSFM
  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 BSFMClassification(input: RDD[(VertexId, LabeledPoint)], stepSize: Double = 1e-2, views: Array[Long], 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 BSFMClassification(_dataSet: Graph[VD, ED], stepSize: Double, views: Array[Long], 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
    BSFM

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Attributes
    protected
    Definition Classes
    BSFM

  7. var bias: Double

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    Attributes
    protected
    Definition Classes
    BSFM

  8. def checkpointGradientSum(): Unit

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    Attributes
    protected
    Definition Classes
    BSFM

  9. val checkpointInterval: Int

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    Attributes
    protected
    Definition Classes
    BSFM

  10. def checkpointVertices(): Unit

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    Attributes
    protected
    Definition Classes
    BSFM

  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
    BSFM

  13. var edges: EdgeRDD[ED]

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    Attributes
    protected
    Definition Classes
    BSFM

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

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    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  16. def equilibratedGradientDescent(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
    BSFM

  17. def features: VertexRDD[VD]

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    Definition Classes
    BSFM

  18. def finalize(): Unit

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

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

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

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

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    BSFM

  22. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  23. def intercept: Double

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    Definition Classes
    BSFM

  24. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  25. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    BSFMClassification → BSFM

  27. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  34. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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

  40. def mask: Int

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

  41. val miniBatchFraction: Double

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    Definition Classes
    BSFMClassification → BSFM

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

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    Attributes
    protected
    Definition Classes
    BSFM

  43. def multiplier(q: VertexRDD[VD]): VertexRDD[VD]

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    Attributes
    protected
    Definition Classes
    BSFMClassification → BSFM

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

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    Definition Classes
    AnyRef

  45. final def notify(): Unit

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    Definition Classes
    AnyRef

  46. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  47. var numFeatures: Long

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    Attributes
    protected
    Definition Classes
    BSFM

  48. var numSamples: Long

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    Attributes
    protected
    Definition Classes
    BSFM

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

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    Attributes
    protected
    Definition Classes
    BSFMClassification → BSFM

  50. val rank: Int

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    Definition Classes
    BSFMClassification → BSFM

  51. def run(iterations: Int): Unit

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    Definition Classes
    BSFM

  52. def samples: VertexRDD[VD]

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    Definition Classes
    BSFM

  53. def saveModel(): BSFMModel

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    Definition Classes
    BSFMClassification → BSFM

  54. def setDataSet(data: Graph[VD, ED]): BSFMClassification.this.type

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    Definition Classes
    BSFM

  55. val stepSize: Double

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    Definition Classes
    BSFMClassification → BSFM

  56. val storageLevel: StorageLevel

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    Definition Classes
    BSFMClassification → BSFM

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

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    Definition Classes
    AnyRef

  58. def toString(): String

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    BSFM

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

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    Attributes
    protected
    Definition Classes
    BSFM

  61. val useAdaGrad: Boolean

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    Definition Classes
    BSFMClassification → BSFM

  62. var vertices: VertexRDD[VD]

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    Attributes
    protected
    Definition Classes
    BSFM

  63. val views: Array[Long]

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    Definition Classes
    BSFMClassification → BSFM

  64. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BSFM

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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